Relevant bibliographies by topics / Field robotics

Academic literature on the topic 'Field robotics'

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Published: 4 June 2021
Last updated: 9 March 2023

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Journal articles on the topic "Field robotics"

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Fountas, Spyros, Nikos Mylonas, Ioannis Malounas, Efthymios Rodias, Christoph Hellmann Santos, and Erik Pekkeriet. "Agricultural Robotics for Field Operations." Sensors 20, no. 9 (May 7, 2020): 2672. http://dx.doi.org/10.3390/s20092672.

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Modern agriculture is related to a revolution that occurred in a large group of technologies (e.g., informatics, sensors, navigation) within the last decades. In crop production systems, there are field operations that are quite labour-intensive either due to their complexity or because of the fact that they are connected to sensitive plants/edible product interaction, or because of the repetitiveness they require throughout a crop production cycle. These are the key factors for the development of agricultural robots. In this paper, a systematic review of the literature has been conducted on research and commercial agricultural robotics used in crop field operations. This study underlined that the most explored robotic systems were related to harvesting and weeding, while the less studied were the disease detection and seeding robots. The optimization and further development of agricultural robotics are vital, and should be evolved by producing faster processing algorithms, better communication between the robotic platforms and the implements, and advanced sensing systems.
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Koyachi, Noriho, Jian Huang, Junya Tatsuno, Atsushi Shirai, Mizuho Shibata, Nobuyasu Tomokuni, Masaharu Tagami, and Yuki Matsutani. "Kindai University: Advanced Robotic Technology Research Center in Fundamental Technology for Next Generation Research Institute." Journal of Robotics and Mechatronics 34, no. 1 (February 20, 2022): 6–9. http://dx.doi.org/10.20965/jrm.2022.p0006.

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An outline of the Advanced Robotic Technology Research Center, Kindai University Fundamental Technology for Next Generation Research Institute is given. The research activities of the Advanced Robotic Technology Research Center are classified into the following five fields, field robotics, medical and welfare robot, dynamics controlled robot, soft-robotics, and parallel link robot.
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Hillman, M. "Introduction to the special issue on rehabilitation robotics." Robotica 16, no. 5 (September 1998): 485. http://dx.doi.org/10.1017/s0263574798000629.

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This special issue of “Robotica” gives an opportunity to present a cross-section of the wide range of research and development projects in rehabilitation robotics. Rehabilitation Robotics (RR) is the application of robotic technology to the rehabilitative needs of people with disabilities as well as the growing elderly population. The papers were originally presented at the ICORR'97 conference, organised by the Bath Institute of Medical Engineering and held in April 97 at the University of Bath. ICORR'97 was the fifth in the series of International Conferences on Rehabilitation Robotics and, after a break of three years, was a welcome and overdue time for sharing of ideas between workers in the field.
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Zhao, Yibo. "Research status and prospect of robotic systems in the field of aerospace engineering." Highlights in Science, Engineering and Technology 23 (December 3, 2022): 276–84. http://dx.doi.org/10.54097/hset.v23i.3278.

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Technology has undergone major changes in the field of aerospace engineering. One major field is robotics. Robotics plays an important role in the field of aerospace and has received more and more attention and attention from scholars at home and abroad. This paper reviews the development of robotic systems from the application of robotics in aerospace engineering, the advantages and disadvantages of robotic systems, and how to improve their effectiveness for better use in the future. The research results found that in terms of its application, it mainly includes welding, inspection, painting, space exploration, drilling and so on. Benefits include high precision, low operating costs and high productivity. On the other hand, it has the disadvantage of requiring a lot of space, balancing speed and accuracy, requiring skilled labor, and being prone to remote control and misuse. Its effectiveness can be increased by minimizing energy consumption to reduce operating costs and improving coordination to reduce collisions. In the future, the use of robotics seems promising as it may be used in transportation to reduce carbon emissions and transportation costs. The research in this paper can provide a reference for the future development of robotic systems.
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Abbott, Jake J., Eric Diller, and Andrew J. Petruska. "Magnetic Methods in Robotics." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 57–90. http://dx.doi.org/10.1146/annurev-control-081219-082713.

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The goal of this article is to provide a thorough introduction to the state of the art in magnetic methods for remote-manipulation and wireless-actuation tasks in robotics. The article synthesizes prior works using a unified notation, enabling straightforward application in robotics. It begins with a discussion of the magnetic fields generated by magnetic materials and electromagnets, how magnetic materials become magnetized in an applied field, and the forces and torques generated on magnetic objects. It then describes systems used to generate and control applied magnetic fields, including both electromagnetic and permanent-magnet systems. Finally, it surveys work from a variety of robotic application areas in which researchers have utilized magnetic methods, including microrobotics, medical robotics, haptics, and aerospace.
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Dissanayake, Gamini. "Introduction." Robotica 19, no. 5 (August 29, 2001): 465–66. http://dx.doi.org/10.1017/s026357470100340x.

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Field robotics is the use of autonomous robotic systems in highly challenging applications areas including; mining, construction, cargo handling, agriculture, subsea and aerospace systems. The focus of field robotics research is on large-scale outdoor autonomous systems in applications that are characterised by relatively unstructured, difficult and often hazardous environments. It draws together the most advanced research areas in robotics, including; navigation and control, sensing and data fusion, safety and reliability, and planning and logistics.
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Argall, Brenna D. "Autonomy in Rehabilitation Robotics: An Intersection." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 441–63. http://dx.doi.org/10.1146/annurev-control-061417-041727.

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Within the field of human rehabilitation, robotic machines are used both to rehabilitate the body and to perform functional tasks. Robotics autonomy that would enable perception of the external world and reasoning about high-level control decisions, however, is seldom present in these machines. For functional tasks in particular, autonomy could help to decrease the operational burden on the human and perhaps even increase access, and this potential only grows as human motor impairments become more severe. There are, however, serious and often subtle considerations for incorporating clinically feasible robotics autonomy into rehabilitation robots and machines. Today, the fields of robotics autonomy and rehabilitation robotics are largely separate, and the topic of this article is at the intersection of these fields: the incorporation of clinically feasible autonomy solutions into rehabilitation robots and the opportunities for autonomy within the rehabilitation domain.
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MURAKAMI, Hiroki. "Challenge to Field Robotics." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): K15100. http://dx.doi.org/10.1299/jsmemecj.2019.k15100.

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Nasir, Muhammad, Marwati Marwati, and Muh Ajwad Musdar. "Gedung Robotika dengan Pendekatan Ekspos Struktur di Makassar." TIMPALAJA : Architecture student Journals 3, no. 1 (June 30, 2021): 37–45. http://dx.doi.org/10.24252/timpalaja.v3i1a5.

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Abstrak_ Perancangan gedung robotika merupakan suatu kegiatan yang akan menghidupkan fungsi teknologi dan robotika di Indonesia sebagai aset edukasi, dan hobi serta mengangkat daya tarik pecinta robotika, pertunjukan kompetisi berkala, dan juga edukasi dalam bidang teknologi robotika. Lokasi project rancangan tepatnya di Makassar, Jl. Urip Sumoharjo, pemilihan lokasi di pertimbangkan dari pemerataan fasilitas robotika di Indonesia, selain itu mempertimbangkan dari daerahnya dimana daerah tersebut adalah daerah komersil, pendidikan dan industri bisnis. Pada perancangan gedung robotika mengangkat tema ekspos struktur, menurut Colin Davis sebagai suatu aliran arsitektur yang bermuara pada ide gerakan arsitektur modern yang membesar-besarkan kesan struktur dan teknologi suatu bangunan. Dalam rancangan ini mengambil studi banding dari studi lapangan yang berada di kota surabaya, sedangkan studi literatur mengambil referensi internet, studi banding memberikan wawasan akan rancangan gedung robotik dan mengkaji tema ekspos struktur, perancangan ini tedapat suatu program ruang yang telah di susun pada bab program rancangan yang akan menjadikan rancangan ini tertata dengan baik dan sesuai standar ruang. Gedung robotika mengambil konsep transformasi bentuk bangunan dari transformasi bentuk kepala dan logo robot, yang diolah sehingga membentuk suatu bangunan yang menarik dan dinamis, dari hasil rancangan tatanan lahan menghasilkan zonifikasi yang mempengaruhi penataan massa dan sirkulasi yang komunikatif, hasil rancangan ruang mengambil dari konsep ekspresif yang membuat ruangan menarik dan berestetika sama halnya seperti sifat robot yang menonjolkan ekspresif.Kata kunci: Ekspos; Gedung; Robotika; Struktur. Abstract_ Robotics building design is an activity that will revive the function of technology and robotics in Indonesia as educational assets and hobbies as well as raise the appeal of robotics lovers, regular competition performances, and also education in the field of robotics technology. The location of the design project is precisely in Makassar, Jl. Urip Sumoharjo, the choice of location is considered from the equal distribution of robotics facilities in Indonesia, besides considering the area where the area is a commercial area, education and business industry. In building robotics design, the theme is structural exposure, according to Colin Davis as an architectural flow that leads to the idea of modern architectural movements that exaggerate the impression of the structure and technology of a building. In this design, it takes a comparative study from a field study in the city of Surabaya, while the literature study takes internet references, the comparative study provides insight into the robotic building design and examines the theme of structural exposure, this design is a space program that has been compiled in the design program chapter. which will make this design well organized and according to room standards. The robotics building takes the concept of transforming the shape of the building from the transformation of the robot's head and logo, which is processed to form an attractive and dynamic building, from the results of the land layout design produces zoning that affects communicative mass arrangement and circulation, the results of the spatial design take from the expressive concept make the room attractive and aesthetic as well as the character of a robot that accentuates expressiveness.Keywords: Exposure; Building; Robotics; Structure.
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Norris, William R., and Albert E. Patterson. "System-Level Testing and Evaluation Plan for Field Robots: A Tutorial with Test Course Layouts." Robotics 8, no. 4 (September 22, 2019): 83. http://dx.doi.org/10.3390/robotics8040083.

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Field robotics is a very important sub-field of robotic systems, focusing on systems which need to navigate in open, unpredictable terrain and perform non-repetitive missions while monitoring and reacting to their surroundings. General testing and validation standards for larger robotic systems, including field robots, have not been developed yet due to a variety of factors including disagreement over terminology and functional/performance requirements. This tutorial presents a generalized, step-by-step system-level test plan for field robots under manual, semi-autonomous/tele-operated, and autonomous control schemes; this includes a discussion of the requirements and testing parameters, and a set of suggested safety, communications, and behavior evaluation test courses. The testing plan presented here is relevant to both commercial and academic research into field robotics, providing a standardized general testing procedure.
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Dissertations / Theses on the topic "Field robotics"

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Cordie, Troy P. "Modular reconfigurable field robotics." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230503/1/Troy_Cordie_Thesis.pdf.

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This thesis explored the use of modular robots in the field. This work represents a step forward in robotics with technology emerging from the laboratory into the outdoors. Innovation is demonstrated through the ability to build custom robots on demand in the field. This customisation enabled by modular-reconfigurable components allowed a single person to deploy multiple configurations rapidly. Additionally, it was demonstrated that a modular reconfigurable approach to robotics improved robustness to failure. Finally, this work demonstrated that the ability to self-reconfigure allowed a field-deployed robot to explore further.
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Dansereau, Donald Gilbert. "Plenoptic Signal Processing for Robust Vision in Field Robotics." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9929.

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This thesis proposes the use of plenoptic cameras for improving the robustness and simplicity of machine vision in field robotics applications. Dust, rain, fog, snow, murky water and insufficient light can cause even the most sophisticated vision systems to fail. Plenoptic cameras offer an appealing alternative to conventional imagery by gathering significantly more light over a wider depth of field, and capturing a rich 4D light field structure that encodes textural and geometric information. The key contributions of this work lie in exploring the properties of plenoptic signals and developing algorithms for exploiting them. It lays the groundwork for the deployment of plenoptic cameras in field robotics by establishing a decoding, calibration and rectification scheme appropriate to compact, lenslet-based devices. Next, the frequency-domain shape of plenoptic signals is elaborated and exploited by constructing a filter which focuses over a wide depth of field rather than at a single depth. This filter is shown to reject noise, improving contrast in low light and through attenuating media, while mitigating occluders such as snow, rain and underwater particulate matter. Next, a closed-form generalization of optical flow is presented which directly estimates camera motion from first-order derivatives. An elegant adaptation of this "plenoptic flow" to lenslet-based imagery is demonstrated, as well as a simple, additive method for rendering novel views. Finally, the isolation of dynamic elements from a static background is considered, a task complicated by the non-uniform apparent motion caused by a mobile camera. Two elegant closed-form solutions are presented dealing with monocular time-series and light field image pairs. This work emphasizes non-iterative, noise-tolerant, closed-form, linear methods with predictable and constant runtimes, making them suitable for real-time embedded implementation in field robotics applications.
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Cui, Yan. "Interval analysis techniques for field mapping and geolocation." Thesis, Purdue University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10151584.

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Field mapping and estimation become a challenging problem, with their various applications on non-linear estimation, geolocation, and positioning systems. In this research, we develop novel algorithms based on interval analysis and introduce a solution for autonomous map construction, field mapping, geolocation, and simultaneous localization and mapping (SLAM), providing applications on indoor geolocation and other potential areas.

Generally, the localization algorithm includes a quasi-state estimation and a dynamic estimation. Quasi-static estimation collects each single measurement and give a group of estimation intervals on the pre-constructed field map. Results from quasi-static estimation are processed into the dynamic estimation algorithm, having properties of removing redundant intervals while keep the best estimation results. Sizes of estimation from quasi-static estimation are proved to be related to the resolution of the map and the quality of the sensor. Based on quasi-state estimation algorithm, we develop an algorithm to fuse different type of measurements and discuss the condition when this algorithm an be applied effectively.

Having theoretical guarantees, we apply these algorithms to augment the accuracy of cell phone geolocation by taking advantage of local variations of magnetic intensity. Thus, the sources of disturbances to magnetometer readings caused indoors are effectively used as beacons for localization. We construct a magnetic intensity map for an indoor environment by collecting magnetic field data over each floor tile. We then test the algorithms without position initialization and obtain indoor geolocation to within 2m while slowly walking over a complex path of 80 meters. The geolocation errors are smaller in the vicinity of large magnetic disturbances. After fusing the magnetometer measurement with inertial measurements on the cell phone, the algorithm yields even smaller geolocation errors of under 50cm for a moving user.

The map construction and geolocation algorithms are then extended to realize the SLAM, with hierarchical structure of estimation update and localization update. When a new user steps into a random map, the dead reckoning algorithm with assistance of IMU and Kalman filter provides initial estimation of position on the map, which coordinates the corresponding reading of magnetic field intensity as well as all other sources such as WiFi received signal strength (RSS), to construct an initial map. Based on the initial map, we then apply the localization algorithm to estimate new geolocations consequently and fuse the estimation intervals both from IMU and from crowd-sourced field maps to reduce the estimation size and eventually revise the map as well as the geolocation.

In this research, we have built up mathematical model and developed mathematical solutions with corresponding theories and proofs. Our theoretical results connect geolocation accuracy to combinations of sensor and map properties.

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Chen, Changhe. "Robot feasibility for trimming and shaping field-grown nursery plants." Connect to resource, 1987. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1201633112.

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Heath, Gerhardus. "Dynamic reconfigurable platform for swarm robotics." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6814.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2011.
ENGLISH ABSTRACT: Swarm intelligence research was inspired by biological systems in nature. Working ants and bees has captivated researchers for centuries, with the ant playing a major role in shaping the future of robotic swarm applications. The ants foraging activity can be adapted for different applications of robotic swarm intelligence. Numerous researchers have conducted theoretical analysis and experiments on the ants foraging activities and communication styles. Combining this information with modern reconfigurable computing opens the door to more complex behaviour with improved system dynamics. Reconfigurable computing has numerous applications in swarm intelligence such as true hardware parallel processing, dynamic power save algorithms and dynamic peripheral changes to the CPU core. In this research a brief study is made of swarm intelligence and its applications. The ants' foraging activities were studied in greater detail with the emphasis on a layered control system designed implementation in a robotic agent. The robotic agent’s hardware was designed using a partial self reconfigurable FPGA as the main building element. The hardware was designed with the emphasis on system flexibility for swarm application drawing attention to power reduction and battery life. All of this was packaged into a differential drive chassis designed specifically for this project.
AFRIKAANSE OPSOMMING: Die motivering vir swerm robotika kom van die natuur. Vir eeue fassineer swerm insekte soos bye en miere navorsers. Dit is verstommend hoe ’n groep klein en nietige insekte sulke groot take kan verrig. Die mier speel ‘n belangrike rol en is die sentrale tema van menige publikasies. Die mier se kos-soek aktiwiteit kan aangepas word vir swerm robotika toepassings. Hierdie aktiwiteit vervat verskeie sleutel konsepte wat belangrik is vir robotika toepassings. Deur bv. die mier se aktiwiteite te kombineer met dinamies herkonfigureerbare hardeware, kan meer komplekse gedrag bestudeer word. Die stelsel dinamika verbeter ook, aangesien dit nou moontlik is om sekere take in parallel uit te voer. Deur ’n interne prosesseerder in die herkonfigureerbare hardeware in te sluit, is dit nou vir die stelsel moontlik om homself te verander tydens taak verrigting. Komplekse krag bestuur gedrag is ook moontlik deurdat die prosesseerder die spoed en rand apparaat kan verander soos benodig. ‘n Verdere voordeel is dat die stelsel aanpasbaar is en dus vir verskeie navorsingsprojekte gebruik kan word. In hierdie navorsing word ’n literatuur studie van swerm robotika gemaak en word daar ook na toepassings gekyk. Met die klem op praktiese implementering, word die mier se kos-soek aktiwiteit in detail ondersoek deur gebruik te maak van ’n laag beheerstelsel. In hierdie laag beheerstelsel verteenwoordig elke laag ’n hoër vlak gedrag. Stelsel aanpasbaarheid en lae kragverbruik speel ’n deurslaggewende rol in die ontwerp, en om hierdie rede vorm ’n FPGA die hart van die sisteem.
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Ross, Patrick J. "Vision-based traversability estimation in field environments." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/96033/1/Patrick_Ross_Thesis.pdf.

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Robust obstacle detection and traversability estimation remain a challenges for mobile robots traversing outdoor field environments. Illumination and environmental variances limit the applicability of appearance cues, while vegetation limits structure cues. Systems that combine multiple cues can potentially overcome deficiencies in individual cues. A key challenge in designing multi-sensor systems is to automatically and appropriately combine these cues in an unsupervised manner. This thesis presents methods for online obstacle detection and traversability estimation in field environments which continuously learn online about environmental and illumination conditions, and can operate in the presence of significant vegetation. The results demonstrate these methods in online field experiments and show that they give competitive performance without the requirement of pre-training or environment-specific tuning.
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Kronquist, Jan. "Extending the electric field approach." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4668.

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Potential fields is popular technique in autonomous robotics. The Electric Field Approach is such a technique used for high level robot control. The approach was developed by Team Sweden for use in RoboCup 2000, a soccer competition for mobile robots. This thesis describes several improvements that has been made while preparing for RoboCup 2001. The improvements are used to create simple behaviors which achieve a form of implicit cooperation and also more active defence. This thesis also describes improvement ideas that failed to show the de-sired improvement and the reason for this is discussed, thereby deepening the understanding of the Electric Field Approach.
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Long, Matthew T. "Creating a distributed field robot architecture for multiple robots." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000539.

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Asmar, Daniel. "Vision-Inertial SLAM using Natural Features in Outdoor Environments." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2843.

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Simultaneous Localization and Mapping (SLAM) is a recursive probabilistic inferencing process used for robot navigation when Global Positioning Systems (GPS) are unavailable. SLAM operates by building a map of the robot environment, while concurrently localizing the robot within this map. The ultimate goal of SLAM is to operate anywhere using the environment's natural features as landmarks. Such a goal is difficult to achieve for several reasons. Firstly, different environments contain different types of natural features, each exhibiting large variance in its shape and appearance. Secondly, objects look differently from different viewpoints and it is therefore difficult to always recognize them. Thirdly, in most outdoor environments it is not possible to predict the motion of a vehicle using wheel encoders because of errors caused by slippage. Finally, the design of a SLAM system to operate in a large-scale outdoor setting is in itself a challenge.

The above issues are addressed as follows. Firstly, a camera is used to recognize the environmental context (e. g. , indoor office, outdoor park) by analyzing the holistic spectral content of images of the robot's surroundings. A type of feature (e. g. , trees for a park) is then chosen for SLAM that is likely observable in the recognized setting. A novel tree detection system is introduced, which is based on perceptually organizing the content of images into quasi-vertical structures and marking those structures that intersect ground level as tree trunks. Secondly, a new tree recognition system is proposed, which is based on extracting Scale Invariant Feature Transform (SIFT) features on each tree trunk region and matching trees in feature space. Thirdly, dead-reckoning is performed via an Inertial Navigation System (INS), bounded by non-holonomic constraints. INS are insensitive to slippage and varying ground conditions. Finally, the developed Computer Vision and Inertial systems are integrated within the framework of an Extended Kalman Filter into a working Vision-INS SLAM system, named VisSLAM.

VisSLAM is tested on data collected during a real test run in an outdoor unstructured environment. Three test scenarios are proposed, ranging from semi-automatic detection, recognition, and initialization to a fully automated SLAM system. The first two scenarios are used to verify the presented inertial and Computer Vision algorithms in the context of localization, where results indicate accurate vehicle pose estimation for the majority of its journey. The final scenario evaluates the application of the proposed systems for SLAM, where results indicate successful operation for a long portion of the vehicle journey. Although the scope of this thesis is to operate in an outdoor park setting using tree trunks as landmarks, the developed techniques lend themselves to other environments using different natural objects as landmarks.
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Sarker, Md Omar Faruque. "Self-regulated multi-robot task allocation." Thesis, University of South Wales, 2010. https://pure.southwales.ac.uk/en/studentthesis/selfregulated-multirobot-task-allocation(4b92f28f-c712-4e75-955f-97b4e5bf12dd).html.

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To deploy a large group of autonomous robots in dynamic multi-tasking environments, a suitable multi-robot task-allocation (MRTA) solution is required. This must be scalable to variable number of robots and tasks. Recent studies show that biology-inspired self-organized approaches can effectively handle task-allocation in large multi-robot systems. However most existing MRTA approaches have overlooked the role of different communication and sensing strategies found in selfregulated biological societies. This dissertation proposes to solve the MRTA problem using a set of previously published generic rules for division of labour derived from the observation of ant,human and robotic social systems. The concrete form of these rules, the attractive field model (AFM), provides sufficient abstraction to local communication and sensing which is uncommon in existing MRTA solutions. This dissertation validates the effectiveness of AFM to address MRTA using two bio-inspired communication and sensing strategies: "global sensing - no communication" and "local sensing - local communication". The former is realized using a centralized communication system and the latter is emulated under a peer-topeer local communication scheme. They are applied in a manufacturing shop-floor scenario using 16 e-puck robots. A robotic interpretation of AFM is presented that maps the generic parameters of AFM to the properties of a manufacturing shopfloor. A flexible multi-robot control architecture, hybrid event-driven architecture on D-Bus, has been outlined which uses the state-of-the-art D-Bus interprocess communication to integrate heterogeneous software components. Based-on the organization of task-allocation, communication and interaction among robots, a novel taxonomy of MRTA solutions has been proposed to remove the ambiguities found in existing MRTA solutions. Besides, a set of domainindependent metrics, e.g., plasticity, task-specialization and energy usage, has been formalized to compare the performances of the above two strategies. The presented comparisons extend our general understanding of the role of information exchange strategies to achieve the distributed task-allocations among various social groups.
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Books on the topic "Field robotics"

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1960-, Zelinsky Alexander, and International Conference on Field and Service Robotics (1997 : Australian National University), eds. Field and service robotics. Berlin: Springer, 1998.

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Sturges, Robert H. Practical Field Robotics. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118941171.

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Wettergreen, David S., and Timothy D. Barfoot, eds. Field and Service Robotics. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27702-8.

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Corke, Peter, and Salah Sukkariah, eds. Field and Service Robotics. Berlin/Heidelberg: Springer-Verlag, 2006. http://dx.doi.org/10.1007/11736592.

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Corke, Peter, and Salah Sukkariah, eds. Field and Service Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33453-8.

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Yoshida, Kazuya, and Satoshi Tadokoro, eds. Field and Service Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40686-7.

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Hutter, Marco, and Roland Siegwart, eds. Field and Service Robotics. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67361-5.

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Howard, Andrew, Karl Iagnemma, and Alonzo Kelly, eds. Field and Service Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13408-1.

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Mejias, Luis, Peter Corke, and Jonathan Roberts, eds. Field and Service Robotics. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-07488-7.

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Yuta, Shin’ichi, Hajima Asama, Erwin Prassler, Takashi Tsubouchi, and Sebastian Thrun, eds. Field and Service Robotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10991459.

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Book chapters on the topic "Field robotics"

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Kulkarni, Mihir, Brady Moon, Kostas Alexis, and Sebastian Scherer. "Aerial Field Robotics." In Encyclopedia of Robotics, 1–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-642-41610-1_221-1.

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Wyeth, Gordon. "Hunt and Gather Robotics." In Field and Service Robotics, 322–29. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_49.

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Corke, Peter, Jonathan Roberts, and Graeme Winstanley. "3D Perception for Mining Robotics." In Field and Service Robotics, 46–52. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_9.

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Thorpe, Chuck. "Mobile Robots and Smart Cars." In Field and Service Robotics, 1–5. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_1.

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Ralston, Jonathon C., and David W. Hainsworth. "The Numbat: A Remotely Controlled Mine Emergency Response Vehicle." In Field and Service Robotics, 53–59. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_10.

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Laugier, C., Ph Garnier, Th Fraichard, I. Paromtchik, and A. Scheuer. "Motion Planning and Sensor-Guided Manœuvre Generation for an Autonomous Vehicle." In Field and Service Robotics, 60–67. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_11.

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Scheding, S., E. Nebot, and H. Durrant-Whyte. "Fault Detection in the Frequency Domain: Designing Reliable Navigation Systems." In Field and Service Robotics, 68–73. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_12.

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Bares, John E., and David S. Wettergreen. "Lessons from the Development and Deployment of Dante II." In Field and Service Robotics, 74–81. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_13.

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Wettergreen, David, Maria Bualat, Daniel Christian, Kurt Schwehr, Hans Thomas, Deanne Tucker, and Eric Zbinden. "Operating Nomad during the Atacama Desert Trek." In Field and Service Robotics, 82–89. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_14.

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Gromov, V., M. Malenkov, S. Fedoseev, A. Kemurdjian, A. Bogatchev, V. Koutcherenko, S. Matrossov, A. Roumiantsev, and V. Solomnikov. "Some Details of the Development of Mobile Robot Platforms." In Field and Service Robotics, 90–95. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1273-0_15.

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Conference papers on the topic "Field robotics"

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Barakat, Nael. "The Ultimate Experience in Learning Robotics: Building Robots in a Robotics Course." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67003.

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Most engineering schools currently include a curriculum component that introduces students to the field of robotics. Multiple methods and techniques are used by engineering educators to help students gain familiarity and interest in robotic systems and their applications. However, very rarely the students get the opportunity to gain the ultimate experience of applying acquired knowledge of the field through building an actual robot. This is because building a robot during a college course involves multiple challenges including robotic systems high complexity and the requirement of combining multiple knowledge bases. Students studying robotics end up, at the most, programming purchased robots, or simulating robots using software, but not actually going through the realities and challenges of putting the system together and making it functional to the point of experimenting with it. In this paper, a unique experience in learning robotic systems and building actual robots is presented. This experience is made available in an elective course on robotic systems engineering at Grand Valley State University (GVSU), School of Engineering (SOE). The produced robots are two or three jointed arm configuration robots, controlled by a programmable microcontroller and built based on classroom gained knowledge. In the classroom, the students learn the kinematics and simplified dynamics of robots, as well as other related topics. In the laboratory, the students are required to apply the learned concepts of kinematics and design in combination with control systems to build a robot that will help them understand and demonstrate these concepts. The course final projects include robotic systems that are built or integrated by teams of students. These projects provide a range of challenges that extends from mechanical design to control systems. The projects are taken up by teams of students having diversified interests and skill bases within the course. The final outcomes of the course are working robotic systems that can demonstrate the students’ knowledge and interest, which the students use significantly as a proof of their competence level when putting together their resumes to move into the next level of their careers. From an educational angle, the course provides the students with an opportunity to combine multiple knowledge sets, skills, and interest to gain the ultimate experience in education: producing a functional system to specifications.
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Raunholt, Lars, Siegfried Meissner, and Ole Gabriel Johan Kverneland. "Field Experience from Robot Tests on Drill Floor and Pipe Deck." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208010-ms.

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Abstract The objective of this paper is to present results from extensive testing of fully robotic drilling and pipe handling operations in the drilling industry, including several robots and tests on both land and offshore. Throughout the last eight years, all-electric, heavy-duty drilling and pipe handling robots of up to seven tons capacity have been tested and piloted on dedicated test facilities, land rigs and offshore rigs. The robotic equipment includes drill floor robot, pipe handler robot, robotic roughneck and pipe deck robot with the purpose of removing the people from the drill floor, derrick and the pipe deck. The testing and qualification have been conducted in phases and in a cooperation between equipment manufacturer, rig contractors and operating companies. The industry has great expectations with the introduction of robotics for red zone management and eliminating all manual operations and human exposure to heavy machinery. Expected value would be a substantial saving in rig days due to fast, precise and consistent operations and removal of people out of harm's way. In addition to improved safety, reduced OPEX, less downtime and faster installation, the robotics systems lower the noise and the carbon footprint due to higher energy efficiency and less GHG emissions. Also, the precise motion control of robots enables digitalization of the drilling process. The testing of robots in drilling applications has been done with the purpose of testing and qualifying the technology, as well as gaining experience with performance, reliability, maintainability, safety, and value to the users. This paper presents performance data from robot operations including both single robots and full system operations, such as tripping and stand-building. Reliability of electric robots in hostile environment is analyzed with regards to field experience from land rig drilling and offshore operations. Finally, the value to the users is substantiated. The paper provides unique results and experience from the longest and broadest tests of heavy-duty all-electric robots in the drilling environment. It therefore provides valuable input for decisions of future use of industrialized robots in the oil and gas upstream industry.
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Ansary, Jamal, Jacob O’Donnell, Nashiyat Fyza, and Brian Trease. "Swarms of Aquatic Unmanned Surface Vehicles (USV), a Review From Simulation to Field Implementation." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22702.

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Abstract Swarm robotic is a field of multi-robotics in which the robot’s behavior is inspired from nature. With rapid development in the field of the multi-robotics and the lack of efficacy in traditional centralized controls method, decentralized nature inspired swarm algorithms were introduced to control the swarm behavior. Unmanned surface vehicles (USVs) are marine crafts that they can operate autonomously. Due to their potential in operating in different areas, these vehicles have been used for variety of reason including patrolling, border protection, environmental monitoring and oil spill confrontation. This paper provides a review of the Swarm of USVs, their application, simulation environments and the algorithms that has been used in the past and current projects.
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Nagchaudhuri, Abhijit. "Experience With Introducing Robotics Toolbox for MATLAB in a Senior Level Undergraduate Course." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12838.

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While most K-12 students associate the field of “Robotics” with mobile robots, undergraduate and basic graduate level courses in the subject tend to focus on serial link manipulator arms on fixed bases. Senior level “Robotics” course discussed in this paper, emphasize the latter. In the study of serial link manipulator arms, linear algebra, fundamentals of kinematics and dynamics, control systems, trajectory planning, programming languages, robotic sensors (particularly vision) play a dominant role. The abstract mathematical concepts are often difficult for the undergraduate students to fathom. Laboratory demonstration using industrial robotic arms provides some physical insight; however, it is seldom practical to let undergraduate students work on these machines on their own without appropriate supervision. Time constraints associated with credit/contact hours is also a deterrent and a practical reality. A combination of laboratory demonstration and use of software environment such as MATLAB and in particular the “Robotics Toolbox” integrated with the course lectures help convey important ideas related to spatial transformations, forward and inverse kinematics, forward and inverse dynamics, control, robotic vision and programming concepts related to the field of robotics to the undergraduate students in a meaningful framework. The “Robotics Toolbox” allow students to work on simulations of different manipulator arms, as well as create their own. The schematic visualization of the simulations reinforces important concepts covered in course lectures, as well as laboratory demonstration.
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Belligundu, Sunil, and Panayiotis S. Shiakolas. "Technologies in Surgical Robotics." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24632.

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Abstract This paper presents a partial review of in-use, experimental or under development robotics technology applications in the medical field. The scope of the paper was narrowed by focusing on technologies related to surgical robotics, and applied to surgical procedures for Orthopedics, Telesurgery, Minimally Invasive Surgery, Endoscopy and Neurosurgery. Results of the review revealed that robotics in surgery are correctly considered as a tool for enhancing, not replacing the surgeon’s capabilities. Robotics technology is slowly but steadily gaining acceptance and usage in the field of surgery, but still faces many challenges. Rapid and continuous improvements in robotic technologies have great potential in advancing robotics use in the surgical field.
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Nayar, Hari D. "Field Applications for Advanced Robotics." In Offshore Technology Conference. Offshore Technology Conference, 2015. http://dx.doi.org/10.4043/25746-ms.

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Goel, Shivam. "Teaching Robots to Interact with Humans in a Smart Environment." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/906.

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Robotics in healthcare has recently emerged, backed by the recent advances in the field of machine learning and robotics. Researchers are focusing on training robots for interacting with elderly adults. This research primarily focuses on engineering more efficient robots that can learn from their mistakes, thereby aiding in better human-robot interaction. In this work, we propose a method in which a robot learns to navigate itself to the individual in need. The robotic agents' learning algorithm will be capable of navigating in an unknown environment. The robot's primary objective is to locate human in a house, and upon finding the human, the goal is to interact with them while complementing their pose and gaze. We propose an end to end learning strategy, which uses a recurrent neural network architecture in combination with Q-learning to train an optimal policy. The idea can be a contribution to better human-robot interaction.
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Podlubne, Ariel, and Diana Gohringer. "Modeling FPGA-based Architectures for Robotics." In 2022 International Conference on Field-Programmable Technology (ICFPT). IEEE, 2022. http://dx.doi.org/10.1109/icfpt56656.2022.9974412.

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Wang, Jingchuan, and Weidong Chen. "Integration of PSoC technology with educational robotics." In 2010 International Conference on Field-Programmable Technology (FPT). IEEE, 2010. http://dx.doi.org/10.1109/fpt.2010.5681435.

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Bieman, Leonard H., Kevin G. Harding, and Albert J. Boehnlein. "Absolute measurement using field-shifted moiré." In Robotics - DL tentative, edited by Donald J. Svetkoff. SPIE, 1992. http://dx.doi.org/10.1117/12.57986.

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Reports on the topic "Field robotics"

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Richardson, B. (French technological progress in the field of robotics and teleoperation). Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/5393003.

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Rudd, Ian. Leveraging Artificial Intelligence and Robotics to Improve Mental Health. Intellectual Archive, July 2022. http://dx.doi.org/10.32370/iaj.2710.

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Artificial Intelligence (AI) is one of the oldest fields of computer science used in building structures that look like human beings in terms of thinking, learning, solving problems, and decision making (Jovanovic et al., 2021). AI technologies and techniques have been in application in various aspects to aid in solving problems and performing tasks more reliably, efficiently, and effectively than what would happen without their use. These technologies have also been reshaping the health sector's field, particularly digital tools and medical robotics (Dantas & Nogaroli, 2021). The new reality has been feasible since there has been exponential growth in the patient health data collected globally. The different technological approaches are revolutionizing medical sciences into dataintensive sciences (Dantas & Nogaroli, 2021). Notably, with digitizing medical records supported the increasing cloud storage, the health sector created a vast and potentially immeasurable volume of biomedical data necessary for implementing robotics and AI. Despite the notable use of AI in healthcare sectors such as dermatology and radiology, its use in psychological healthcare has neem models. Considering the increased mortality and morbidity levels among patients with psychiatric illnesses and the debilitating shortage of psychological healthcare workers, there is a vital requirement for AI and robotics to help in identifying high-risk persons and providing measures that avert and treat mental disorders (Lee et al., 2021). This discussion is focused on understanding how AI and robotics could be employed in improving mental health in the human community. The continued success of this technology in other healthcare fields demonstrates that it could also be used in redefining mental sicknesses objectively, identifying them at a prodromal phase, personalizing the treatments, and empowering patients in their care programs.
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Imbrie, Andrew, Rebecca Gelles, James Dunham, and Catherine Aiken. Contending Frames: Evaluating Rhetorical Dynamics in AI. Center for Security and Emerging Technology, May 2021. http://dx.doi.org/10.51593/20210010.

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The narrative of an artificial intelligence “arms race” among the great powers has become shorthand to describe evolving dynamics in the field. Narratives about AI matter because they reflect and shape public perceptions of the technology. In this issue brief, the second in a series examining rhetorical frames in AI, the authors compare four narrative frames that are prominent in public discourse: AI Competition, Killer Robots, Economic Gold Rush and World Without Work.
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Webb, Philip. Deployment of Parallel Kinematic Machines in Manufacturing. SAE International, April 2022. http://dx.doi.org/10.4271/epr2022010.

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The field of parallel kinematics was viewed as being potentially transformational in manufacturing, having multiple potential advantages over conventional serial machine tools and robots. However, the technology never quite achieved market penetration or broad success envisaged. Yet, many of the inherent advantages still exist in terms of stiffness, force capability, and flexibility when compared to more conventional machine structures. Deployment of Parallel Kinematic Machines in Manufacturing examines why parallel kinematic machines have not lived up to original excitement and market interest and what needs to be done to rekindle that interest. A number of key questions and issues need to be explored to advance the technology further.
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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, October 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.
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Autonomous Field Robotics. SAE International, October 2022. http://dx.doi.org/10.4271/epr2022023.

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