Relevant bibliographies by topics / Autonomous Robots

Academic literature on the topic 'Autonomous Robots'

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Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Autonomous Robots"

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Salavi, Prof A. S., and Prof D. A. Bhosale. "Path Finder Autonomous Robot." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 1212–15. http://dx.doi.org/10.22214/ijraset.2023.49614.

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Abstract: Now a days many robots have come Developed for automation and navigation is robotics Emerging technologies that reduce human work. Many A variety of robot navigation techniques are available. This is a project to create a robot that finds the world safe way Plan and avoid obstacles. It has an infrared sensor Used to detect obstacles in the robot's path. Robot avoid the obstacles in the way and move forward specific direction. An infrared sensor is used for detection Interrupt and send the information to the controller and then Processing input microcontroller redirects using robots Motors that are controlled by motor drivers.
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BEKEY, GEORGE A. "On autonomous robots." Knowledge Engineering Review 13, no. 2 (July 1998): 143–46. http://dx.doi.org/10.1017/s0269888998002033.

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Autonomous robots are the intelligent agents par excellence. We frequently define a robot as a machine that senses, thinks and acts, i.e., an agent. They are distinguished from software agents in that robots are embodied agents, situated in the real world. As such, they are subject both to the joys and sorrows of the world. They can be touched and seen and heard (sometimes even smelled!), they have physical dimensions, and they can exert force on other objects. These objects can be like a ball in the RoboCup or Mirosot robot soccer games, they can be parts to be assembled, airplanes to be washed, carpets to be vacuumed, terrain to be traversed or cameras to be aimed. On the other hand, since robots are agents in the world they are also subject to its physical laws, they have mass and inertia, their moving parts encounter friction and hence heat, no two parts are precisely alike, measurements are corrupted by noise, and alas, parts break. Of course, robots also contain computers, and hence they are also subject to the slings and arrows of computer misfortunes, both in hardware and software. Finally, the world into which we place these robots keeps changing, it is non-stationary and unstructured, so that we cannot predict its features accurately in advance.
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Ravankar, Abhijeet, Ankit A. Ravankar, Arpit Rawankar, and Yohei Hoshino. "Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance." Agriculture 11, no. 10 (September 30, 2021): 954. http://dx.doi.org/10.3390/agriculture11100954.

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In recent years, autonomous robots have extensively been used to automate several vineyard tasks. Autonomous navigation is an indispensable component of such field robots. Autonomous and safe navigation has been well studied in indoor environments and many algorithms have been proposed. However, unlike structured indoor environments, vineyards pose special challenges for robot navigation. Particularly, safe robot navigation is crucial to avoid damaging the grapes. In this regard, we propose an algorithm that enables autonomous and safe robot navigation in vineyards. The proposed algorithm relies on data from a Lidar sensor and does not require a GPS. In addition, the proposed algorithm can avoid dynamic obstacles in the vineyard while smoothing the robot’s trajectories. The curvature of the trajectories can be controlled, keeping a safe distance from both the crop and the dynamic obstacles. We have tested the algorithm in both a simulation and with robots in an actual vineyard. The results show that the robot can safely navigate the lanes of the vineyard and smoothly avoid dynamic obstacles such as moving people without abruptly stopping or executing sharp turns. The algorithm performs in real-time and can easily be integrated into robots deployed in vineyards.
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Eda, Tomoyoshi, Tadahiro Hasegawa, Shingo Nakamura, and Shin’ichi Yuta. "Development of Autonomous Mobile Robot “MML-05” Based on i-Cart Mini for Tsukuba Challenge 2015." Journal of Robotics and Mechatronics 28, no. 4 (August 19, 2016): 461–69. http://dx.doi.org/10.20965/jrm.2016.p0461.

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[abstFig src='/00280004/04.jpg' width='300' text='Autonomous mobile robots entered in the Tsukuba Challenge 2015' ] This paper describes a self-localization method for autonomous mobile robots entered in the Tsukuba Challenge 2015. One of the important issues in autonomous mobile robots is accurately estimating self-localization. An occupancy grid map, created manually before self-localization has typically been utilized to estimate the self-localization of autonomous mobile robots. However, it is difficult to create an accurate map of complex courses. We created an occupancy grid map combining local grid maps built using a leaser range finder (LRF) and wheel odometry. In addition, the self-localization of a mobile robot was calculated by integrating self-localization estimated by a map and matching it to wheel odometry information. The experimental results in the final run of the Tsukuba Challenge 2015 showed that the mobile robot traveled autonomously until the 600 m point of the course, where the occupancy grid map ended.
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Akai, Naoki, Yasunari Kakigi, Shogo Yoneyama, and Koichi Ozaki. "Development of Autonomous Mobile Robot that Can Navigate in Rainy Situations." Journal of Robotics and Mechatronics 28, no. 4 (August 19, 2016): 441–50. http://dx.doi.org/10.20965/jrm.2016.p0441.

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[abstFig src='/00280004/02.jpg' width='300' text='Navigation under strong rainy condition' ] The Real World Robot Challenge (RWRC), a technical challenge for mobile outdoor robots, has robots automatically navigate a predetermined path over 1 km with the objective of detecting specific persons. RWRC 2015 was conducted in the rain and every robot could not complete the mission. This was because sensors on the robots detected raindrops and the robots then generated unexpected behavior, indicating the need to study the influence of rain on mobile navigation systems – a study clearly not yet sufficient. We begin by describing our robot’s waterproofing function, followed by investigating the influence of rain on the external sensors commonly used in mobile robot navigation and discuss how the robot navigates autonomous in the rain. We conducted navigation experiments in artificial and actual rainy environments and those results showed that the robot navigates stably in the rain.
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Kurabayashi, Daisuke, and Hajime Asama. "Autonomous Knowledge Acquisition and Revision by Intelligent Data Carriers in a Dynamic Environment." Journal of Robotics and Mechatronics 13, no. 2 (April 20, 2001): 154–59. http://dx.doi.org/10.20965/jrm.2001.p0154.

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In this paper, we built a device and algorithm for implementation in autonomous robots that can enhance efficiency through autonomous knowledge acquisition and sharing. We also propose an algorithm to adapt our robotic system to dynamic environments. In this robotic system, the ""Intelligent Data Carrier"" provides navigational knowledge for autonomous mobile robots. An IDC summarizes fragmyents of knowledge from individual robots and tells the best direction toward a destination at which a robot wants to arrive. We make models of dynamic environments, and investigate the behaviors of autonomous robots that navigate using an intelligent data carrier system. We also create an algorithm that estimates the validity of knowledge in an IDC and allows the IDC to renew the knowledge autonomously. We verify effectiveness of the proposed algorithm by means of simulations.
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Takahashi, Kiyoaki, Takafumi Ono, Tomokazu Takahashi, Masato Suzuki, Yasuhiko Arai, and Seiji Aoyagi. "Performance Evaluation of Robot Localization Using 2D and 3D Point Clouds." Journal of Robotics and Mechatronics 29, no. 5 (October 20, 2017): 928–34. http://dx.doi.org/10.20965/jrm.2017.p0928.

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Autonomous mobile robots need to acquire surrounding environmental information based on which they perform their self-localizations. Current autonomous mobile robots often use point cloud data acquired by laser range finders (LRFs) instead of image data. In the virtual robot autonomous traveling tests we have conducted in this study, we have evaluated the robot’s self-localization performance on Normal Distributions Transform (NDT) scan matching. This was achieved using 2D and 3D point cloud data to assess whether they perform better self-localizations in case of using 3D or 2D point cloud data.
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Alzoubi, Saleem, and Mahdi H. Miraz. "Enhancing Robot Navigation Efficiency Using Cellular Automata with Active Cells." Annals of Emerging Technologies in Computing 8, no. 2 (April 1, 2024): 56–70. http://dx.doi.org/10.33166/aetic.2024.02.005.

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Enhancing robot navigation efficiency is a crucial objective in modern robotics. Robots relying on external navigation systems are often susceptible to electromagnetic interference (EMI) and encounter environmental disturbances, resulting in orientation errors within their surroundings. Therefore, the study employed an internal navigation system to enhance robot navigation efficacy under interference conditions, based on the analysis of the internal parameters and the external signals. This article presents details of the robot’s autonomous operation, which allows for setting the robot's trajectory using an embedded map. The robot’s navigation process involves counting the number of wheel revolutions as well as adjusting wheel orientation after each straight path section. In this article, an autonomous robot navigation system has been presented that leverages an embedded control navigation map utilising cellular automata with active cells which can effectively navigate in an environment containing various types of obstacles. By analysing the neighbouring cells of the active cell, the cellular environment determines which cell should become active during the robot’s next movement step. This approach ensures the robot’s independence from external control inputs. Furthermore, the accuracy and speed of the robot’s movement have been further enhanced using a hexagonal mosaic for navigation surface mapping. This concept of utilising on cellular automata with active cells has been extended to the navigation of a group of robots on a shared navigation surface, taking into account the intersections of the robots’ trajectories over time. To achieve this, a distance control module has been used that records the travelled trajectories in terms of wheel turns and revolutions.
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Xiong, Minglei, and Guangming Xie. "Swarm Game and Task Allocation for Autonomous Underwater Robots." Journal of Marine Science and Engineering 11, no. 1 (January 8, 2023): 148. http://dx.doi.org/10.3390/jmse11010148.

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Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm’s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots have different cooperative attributes, as some are more selfish and others more altruistic. Specifically, we designed two experiments: target search and target moving, aiming to reveal the relationship between individual cooperation and group task achievement in a robot swarm as a collaborative strategy. The task information is shared among the robots, because performing the tasks consumes a certain amount of energy, reducing the robot’s running speed. Our experiments prove that the robot swarms can evolve and enhance their strategies during the game, and will guide guiding future works in designing more efficient robot swarms.
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Huo, Jianwen, Manlu Liu, Konstantin A. Neusypin, Haojie Liu, Mingming Guo, and Yufeng Xiao. "Autonomous Search of Radioactive Sources through Mobile Robots." Sensors 20, no. 12 (June 19, 2020): 3461. http://dx.doi.org/10.3390/s20123461.

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The research of robotic autonomous radioactivity detection or radioactive source search plays an important role in the monitoring and disposal of nuclear safety and biological safety. In this paper, a method for autonomously searching for radioactive sources through mobile robots was proposed. In the method, by using a partially observable Markov decision process (POMDP), the search of autonomous unknown radioactive sources was realized according to a series of radiation information measured by mobile robot. First, the factors affecting the accuracy of radiation measurement during the robot’s movement were analyzed. Based on these factors, the behavior set of POMDP was designed. Secondly, the parameters of the radioactive source were estimated in the Bayesian framework. In addition, through the reward strategy, autonomous navigation of the robot to the position of the radiation source was achieved. The search algorithm was simulated and tested, and the TurtleBot robot platform was used to conduct a real search experiment on the radio source Cs-137 with an activity of 37 MBq indoors. The experimental results showed the effectiveness of the method. Additionally, from the experiments, it could been seen that the robot was affected by the linear velocity, angular velocity, positioning accuracy and the number of measurements in the process of autonomous search for the radioactive source. The proposed mobile robot autonomous search method can be applied to the search for lost radioactive sources, as well as for the leakage of substances (nuclear or chemical) in nuclear power plants and chemical plants.
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Dissertations / Theses on the topic "Autonomous Robots"

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Nipper, Nathan James. "Robotic balance through autonomous oscillator control and the dynamic inclinometer." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp1586/NathanNipperThesis.PDF.

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Thesis (M.E.)--University of Florida, 2001.
Title from first page of PDF file. Document formatted into pages; contains vii, 54 p.; also contains graphics. Vita. Includes bibliographical references (p. 53).
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Christensen, Anders Lyhne. "Fault detection in autonomous robots." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210508.

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In this dissertation, we study two new approaches to fault detection for autonomous robots. The first approach involves the synthesis of software components that give a robot the capacity to detect faults which occur in itself. Our hypothesis is that hardware faults change the flow of sensory data and the actions performed by the control program. By detecting these changes, the presence of faults can be inferred. In order to test our hypothesis, we collect data in three different tasks performed by real robots. During a number of training runs, we record sensory data from the robots both while they are operating normally and after a fault has been injected. We use back-propagation neural networks to synthesize fault detection components based on the data collected in the training runs. We evaluate the performance of the trained fault detectors in terms of the number of false positives and the time it takes to detect a fault.

The results show that good fault detectors can be obtained. We extend the set of possible faults and go on to show that a single fault detector can be trained to detect several faults in both a robot's sensors and actuators. We show that fault detectors can be synthesized that are robust to variations in the task. Finally, we show how a fault detector can be trained to allow one robot to detect faults that occur in another robot.

The second approach involves the use of firefly-inspired synchronization to allow the presence of faulty robots to be determined by other non-faulty robots in a swarm robotic system. We take inspiration from the synchronized flashing behavior observed in some species of fireflies. Each robot flashes by lighting up its on-board red LEDs and neighboring robots are driven to flash in synchrony. The robots always interpret the absence of flashing by a particular robot as an indication that the robot has a fault. A faulty robot can stop flashing periodically for one of two reasons. The fault itself can render the robot unable to flash periodically.

Alternatively, the faulty robot might be able to detect the fault itself using endogenous fault detection and decide to stop flashing.

Thus, catastrophic faults in a robot can be directly detected by its peers, while the presence of less serious faults can be detected by the faulty robot itself, and actively communicated to neighboring robots. We explore the performance of the proposed algorithm both on a real world swarm robotic system and in simulation. We show that failed robots are detected correctly and in a timely manner, and we show that a system composed of robots with simulated self-repair capabilities can survive relatively high failure rates.

We conclude that i) fault injection and learning can give robots the capacity to detect faults that occur in themselves, and that ii) firefly-inspired synchronization can enable robots in a swarm robotic system to detect and communicate faults.


Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

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Garratt, Matthew A. "Biologically inspired vision and control for an autonomous flying vehicle /." View thesis entry in Australian Digital Theses Program, 2007. http://thesis.anu.edu.au/public/adt-ANU20090116.154822/index.html.

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Hawley, John. "Hierarchical task allocation in robotic exploration /." Online version of thesis, 2009. http://hdl.handle.net/1850/10650.

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Keepence, B. S. "Navigation of autonomous mobile robots." Thesis, Cardiff University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304921.

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Sá, André Filipe Marques Alves de. "Navigation of autonomous mobile robots." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23832.

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Mestrado em Engenharia Eletrónica e Telecomunicações
Automação, na mais simples das designações, é a arte de criar vida na máquina, possibilitando certas ações sem controlo directo por parte de um utilizador. Esta área de estudo permite que certas atividades que consideramos aborrecidas ou perigosas possam ser executadas por máquinas. Nesta tese, um estudo do estado da arte no campo de robôs móveis e inteligentes foi realizado, apresentando um focus especial em algoritmos de navegação baseados em procura e amostragem. Uma simulação foi desenvolvida, na qual um modelo do robô Wiserobot foi criado, utilizado como ambiente de teste um ed cio conhecido no campo da robótica, o laboratório da Willow Garage. Nesta simulação foram realizados testes aos algoritmos explorados anteriormente, nomeadamente Dijkstra, PRM e RRT. Para testar os algoritmos por amostragem, um plug-in foi desenvolvido para utilizar a Open Motion Planning Library para avaliar resultados dos mesmos. Por fim, código foi desenvolvido, usando e tendo por base bibliotecas existentes no ROS, de modo a dar ao nosso modelo do robô capacidades de navegação no ambiente simulado, inicialmente estático seguido de testes com objectos não declarados. Os resultados dos vários planeadores foram comparados para avaliar a prestação nos casos de testes definidos, utilizando métricas escolhidas previamente.
Automation, in the simplest of designations, is the art of creating life in the machine, allowing the performance of certain actions without the need of direct control by an user. This area of study allows for certain activities that we deem as tedious or dangerous to be executed by machines. In this thesis, a study of the state of the art in the eld of mobile and autonomous robotics is made, focusing in navigation algorithms based on search and sampling. A simulation was developed, in which a model of the robot was created, to be used with an environment well know by roboticist, Willow Garage. In this simulation, tests were made to the algorithms explored earlier, namely Dijkstra, PRM and RRT. To test multiple samplebased planners, a plug-in was developed to use the Open Motion Planning Library for benchmarking purposes. Finally code is developed, based and using existing ROS packages, to give a model cargo robot navigation capabilities in a simulated indoor environment, initially static then with undeclared obstacles. The results were compared from multiple planners to evaluate the performance in the test cases de ned, using pre-established metrics.
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Tay, Junyun. "Autonomous Animation of Humanoid Robots." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/838.

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Gestures and other body movements of humanoid robots can be used to convey meanings which are extracted from an input signal, such as speech or music. For example, the humanoid robot waves its arm to say goodbye or nods its head to dance to the beats of the music. This thesis investigates how to autonomously animate a real humanoid robot given an input signal. This thesis addresses five core challenges, namely: Representation of motions, Mappings between meanings and motions, Selection of relevant motions, Synchronization of motion sequences to the input signal, and Stability of the motion sequences (R-M-S3). We define parameterized motions that allow a large variation of whole body motions to be generated from a small core motion library and synchronization of the motions to different input signals. To assign meanings to motions, we represent meanings using labels and map motions to labels autonomously using motion features. We also examine different metrics to determine similar motions so that a new motion is mapped to existing labels of the most similar motion. We explain how we select relevant motions using labels, synchronize the motion sequence to the input signal, and consider the audience’s preferences. We contribute an algorithm that determines the stability of a motion sequence. We also define the term relative stability, where the stability of one motion sequence is compared to other motion sequences. We contribute an algorithm to determine the most stable motion sequence so that the humanoid robot animates continuously without interruptions. We demonstrate our work with two input signals – music and speech, where a humanoid robot autonomously dances to any piece of music using the beats and emotions of the music and also autonomously gestures according to its speech. We describe how we use our solutions to R-M-S3, and present a complete algorithm that captures the meanings of the input signal and weighs the selection of the best sequence using two criteria: audience feedback and stability. Our approach and algorithms are general to autonomously animate humanoid robots, and we use a real NAO humanoid robot and in simulation as an example.
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Loetzsch, Martin. "Lexicon formation in autonomous robots." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2015. http://dx.doi.org/10.18452/17121.

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"Die Bedeutung eines Wortes ist sein Gebrauch in der Sprache". Ludwig Wittgenstein führte diese Idee in der ersten Hälfte des 20. Jahrhunderts in die Philosophie ein und in verwandten Disziplinen wie der Psychologie und Linguistik setzte sich vor allem in den letzten Jahrzehnten die Ansicht durch, dass natürliche Sprache ein dynamisches System arbiträrer und kulturell gelernter Konventionen ist. Forscher um Luc Steels übertrugen diesen Sprachbegriff seit Ende der 90er Jahre auf das Gebiet der Künstlichen Intelligenz, indem sie zunächst Software-Agenten und später Robotern mittels sogenannter Sprachspiele gemeinsame Kommunikationssysteme bilden liessen, ohne dass Agenten im Voraus mit linguistischem und konzeptionellen Wissen ausgestattet werden. Die vorliegende Arbeit knüpft an diese Forschung an und untersucht vertiefend die Selbstorganisation von geteiltem lexikalischen Wissen in humanoiden Robotern. Zentral ist dabei das Konzept der "referential uncertainty", d.h. die Schwierigkeit, die Bedeutung eines bisher unbekannten Wortes aus dem Kontext zu erschliessen. Ausgehend von sehr einfachen Modellen der Lexikonbildung untersucht die Arbeit zunächst in einer simulierten Umgebung und später mit physikalischen Robotern systematisch, wie zunehmende Komplexität kommunikativer Interaktionen komplexere Lernmodelle und Repräsentationen erfordert. Ein Ergebnis der Evaluierung der Modelle hinsichtlich Robustheit und Übertragbarkeit auf Interaktionszenarien mit Robotern ist, dass die in der Literatur vorwiegenden selektionistischen Ansätze schlecht skalieren und mit der zusätzlichen Herausforderung einer Verankerung in visuellen Perzeptionen echter Roboter nicht zurecht kommen. Davon ausgehend wird ein alternatives Modell vorgestellt.
"The meaning of a word is its use in the language". In the first half of the 20th century Ludwig Wittgenstein introduced this idea into philosophy and especially in the last few decades, related disciplines such as psychology and linguistics started embracing the view that that natural language is a dynamic system of arbitrary and culturally learnt conventions. From the end of the nineties on, researchers around Luc Steels transferred this notion of communication to the field of artificial intelligence by letting software agents and later robots play so-called language games in order to self-organize communication systems without requiring prior linguistic or conceptual knowledge. Continuing and advancing that research, the work presented in this thesis investigates lexicon formation in humanoid robots, i.e. the emergence of shared lexical knowledge in populations of robotic agents. Central to this is the concept of referential uncertainty, which is the difficulty of guessing a previously unknown word from the context. First in a simulated environments and later with physical robots, this work starts from very simple lexicon formation models and then systematically analyzes how an increasing complexity in communicative interactions leads to an increasing complexity of representations and learning mechanisms. We evaluate lexicon formation models with respect to their robustness, scaling and their applicability to robotic interaction scenarios and one result of this work is that the predominating approaches in the literature do not scale well and are not able to cope with the challenges stemming from grounding words in the real-world perceptions of physical robots. In order to overcome these limitations, we present an alternative lexicon formation model and evaluate its performance.
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Haberbusch, Matthew Gavin. "Autonomous Skills for Remote Robotic Assembly." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1588112797847939.

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Orebäck, Anders. "A component framework for autonomous mobile robots." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-50.

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The major problem of robotics research today is that there is a barrier to entry into robotics research. Robot system software is complex and a researcher that wishes to concentrate on one particular problem often needs to learn about details, dependencies and intricacies of the complete system. This is because a robot system needs several different modules that need to communicate and execute in parallel.

Today there is not much controlled comparisons of algorithms and solutions for a given task, which is the standard scientific method of other sciences. There is also very little sharing between groups and projects, requiring code to be written from scratch over and over again.

This thesis proposes a general framework for robotics. By examining successful systems and architectures of past and present, yields a number of key properties. Some of these are ease of use, modularity, portability and efficiency. Even though there is much consensus on that the hybrid deliberate/reactive is the best architectural model that the community has produced so far, a framework should not stipulate a specific architecture. Instead the framework should enable the building of different architectures. Such a scheme implies that the modules are seen as common peers and not divided into clients and servers or forced into a set layering.

Using a standardized middleware such as CORBA, efficient communication can be carried out between different platforms and languages. Middleware also provides network transparency which is valuable in distributed systems. Component-based Software Engineering (CBSE) is an approach that could solve many of the aforementioned problems. It enforces modularity which helps to manage complexity. Components can be developed in isolation, since algorithms are encapsulated in components where only the interfaces need to be known by other users. A complete system can be created by assembling components from different sources.

Comparisons and sharing can greatly benefit from CBSE. A component-based framework called ORCA has been implemented with the following characteristics. All communication is carried out be either of three communication patterns, query, send and push. Communication is done using CORBA, although most of the CORBA code is hidden for the developer and can in the future be replaced by other mechanisms. Objects are transported between components in the form of the CORBA valuetype.

A component model is specified that among other things include support for a state-machine. This also handles initialization and sets up communication. Configuration is achieved by the presence of an XML-file per component. A hardware abstraction scheme is specified that basically route the communication patterns right down to the hardware level.

The framework has been verified by the implementation of a number of working systems.

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Books on the topic "Autonomous Robots"

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Fahimi, Farbod. Autonomous Robots. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09538-7.

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Nonami, Kenzo, Farid Kendoul, Satoshi Suzuki, Wei Wang, and Daisuke Nakazawa. Autonomous Flying Robots. Tokyo: Springer Japan, 2010. http://dx.doi.org/10.1007/978-4-431-53856-1.

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S, Iyengar S., and Elfes Alberto, eds. Autonomous mobile robots. Los Alamitos, Calif: IEEE Computer Society Press, 1991.

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Sitharama, Iyengar S., and Elfes Alberto, eds. Autonomous mobile robots. Los Alamitos, Calif: IEEE Computer Society Press, 1991.

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de, Almeida Anibal T., Khatib Oussama, and Advanced Research Workshop on Autonomous Robotic Systems (1997 : Coimbra, Portugal), eds. Autonomous robotic systems. Berlin: Springer, 1998.

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Mukhopadhyay, Subhas Chandra, and Gourab Sen Gupta, eds. Autonomous Robots and Agents. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73424-6.

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Weihua, Yang, ed. Autonomous robots research advances. New York: Nova Science Publishers, 2008.

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Weihua, Yang, ed. Autonomous robots research advances. New York: Nova Science Publishers, 2008.

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Cox, I. J. Autonomous Robot Vehicles. New York, NY: Springer New York, 1990.

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J, Cox I., and Wilfong Gordon Thomas 1958-, eds. Autonomous robot vehicles. New York: Springer-Verlag, 1990.

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Book chapters on the topic "Autonomous Robots"

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Fahimi, Farbod. "Mobile Robots." In Autonomous Robots, 1–58. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_6.

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Fahimi, Farbod. "Autonomous Helicopters." In Autonomous Robots, 1–55. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_8.

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Ibekwe, Henry I., and Ali K. Kamrani. "Robotics and Autonomous Robots." In Collaborative Engineering, 173–206. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-47321-5_9.

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Fahimi, Farbod. "Introduction." In Autonomous Robots, 1–13. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_1.

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Fahimi, Farbod. "Redundant Manipulators." In Autonomous Robots, 1–36. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_2.

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Fahimi, Farbod. "Hyper-Redundant Manipulators." In Autonomous Robots, 1–30. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_3.

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Fahimi, Farbod. "Obstacle Avoidance Using Harmonic Potential Functions." In Autonomous Robots, 1–49. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_4.

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Fahimi, Farbod. "Control of Manipulators." In Autonomous Robots, 1–32. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_5.

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Fahimi, Farbod. "Autonomous Surface Vessels." In Autonomous Robots, 1–42. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09538-7_7.

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Virk, Gurvinder S. "Climbing robots." In Autonomous Robotic Systems, 264–75. London: Springer London, 1998. http://dx.doi.org/10.1007/bfb0030810.

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Conference papers on the topic "Autonomous Robots"

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Bartoli, Eric, Jean Michel Munoz, Gregoire Audouin, and Gildas Collin. "Implementation of Autonomous Ground Robots on Operational Sites." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211242-ms.

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Abstract One of the missions of the TotalEnergies’ R&D is to pave the way for tomorrow's simpler, streamlined and less expensive facilities. The vision is focused on unmanned installations in which autonomous ground robots are key components. In 2017, the ARGOS (Autonomous Robots for Gas and Oil Sites) Challenge delivered the first prototype of a new generation of autonomous, ATEX-compliant ground robots capable of detecting anomalies. Based on this success, TotalEnergies started a few projects with the aim to introduce and standardize robotics on O&G sites. The first project is the development of a series of autonomous robots, designed to withstand the rough O&G environment for long durations: an inspection robot and an operator robot. The second project is the adaptation of the standard methods of engineering operations for green-field developments as well as preparing the implementation of robots on brownfields. The third one is the development of a specific environment to remotely supervise a fleet of robots operating simultaneously on a same site. A major take away for the success of robotics implementation is increasing the technological readiness as well as usability and acceptance of the whole robotics operation system. This can be verified only through exposure to users in a realistic environment. After each major development, their proper achievement is measured following a robust process of observation in different contexts. An incremental approach for trials was implemented from testing in specific laboratory conditions up to long duration pilots on major installations under the custody of the future users. Those complex tests are a tremendous source of deep insight in understanding robotic operations and allowing the research to be pushed further towards a more practical solution for the petroleum industry. The presentation will highlight the first tangible results from the operational implementation and prototypes testing of robots and the readiness of robotics for Oil and Gas. The experience gained by TotalEnergies in developing Robotics Operations through testing it extensively in various industrial contexts, represents a unique case with this large scale of usages. It was already shared with some of our peers and this paper is a great opportunity to expose to the Oil and Gas industry to our vision of how to prepare the future of unmanned, safe and environmentally friendly operations.
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Rabb, Ethan, Isaac Hagberg, Alex Murphy, Steven Butts, Skander Guizani, John Rogers, Joseph L. Heyman, and Steven Crews. "Multi-Tiered Safety for Dynamic Autonomous Warehouse Robots." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95985.

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Abstract The purpose of this project is to safely integrate robots and humans into industrial processes. The most prevalent current solution to the problem of safe integration of robots and humans is to place the robots in cages to separate the workspaces of humans and robots. The cages prevent humans from entering the robot’s workspace and prevent any contact between the two entities. However, cages present an inefficiency in the industrial process as they require additional space and do not allow a seamless integration of robots and humans. This paper proposes a multi-tiered safety system that combines vision and torque feedback safety measures that can stop robot movement. The vision safety system proposed detects foreign movement in the camera frame and stops the robot’s motion. The torque system proposed detects unexpected torques in the robot’s motors and stops the robot’s motion. The results show that both safety systems can effectively stop robot motion if an unsafe condition is detected. For the industrial process of interest, the multi-tiered safety system is expected to lay the foundation for future integration of humans and robots on the industrial process. Contributions to the academic community for this paper are a multi-tiered safety system for robots in industrial processes, a machine learning circle detection algorithm, and a novel end-of-arm-tooling (EOAT) for the industrial process of interest.
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Renzi, Adam D., and Wayne W. Walter. "Autonomous Pipe Searching Robots." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27383.

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A pair of autonomous microcontroller-based robots were designed, built, and tested to inspect the inside of an 8 in pipe. The pair consists of a “scout” which travels along the inside of the pipe and scans the surface for holes using an array of touch sensors. Once a hole is found, the “scout” communicates the position of the hole to a second “mule” robot that has an on-board sealant dispensing system. After the scout moves out of the way, the mule moves to the hole location and dispenses sealant to seal the hole. Both robots are controlled by a BASIC Stamp microcontroller and propelled by servomotor driven wheels in response to sensor input. Communication is accomplished using wireless RF transceiver boards. This paper discusses the design, build, and test of these cooperative robots; the problems encountered, and how these problems were solved in order to successfully meet the project requirements of creating a two robot system that could find and simulate the sealing of holes in pipes.
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Biswas, Joydeep. "The Quest For "Always-On" Autonomous Mobile Robots." 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.2019/893.

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Building ``always-on'' robots to be deployed over extended periods of time in real human environments is challenging for several reasons. Some fundamental questions that arise in the process include: 1) How can the robot reconcile unexpected differences between its observations and its outdated map of the world? 2) How can we scalably test robots for long-term autonomy? 3) Can a robot learn to predict its own failures, and their corresponding causes? 4) When the robot fails and is unable to recover autonomously, can it utilize partially specified, approximate human corrections to overcome its failures? We summarize our research towards addressing all of these questions. We present 1) Episodic non-Markov Localization to maintain the belief of the robot's location while explicitly reasoning about unmapped observations; 2) a 1,000km challenge to test for long-term autonomy; 3) feature-based and learning-based approaches to predicting failures; and 4) human-in-the-loop SLAM to overcome robot mapping errors, and SMT-based robot transition repair to overcome state machine failures.
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Muhammad, Cameron, and Biswanath Samanta. "Control of Autonomous Robots Using Principles of Neuromodulation in ROS Environment." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38158.

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Decision making of a vertebrate in response to the sensory signals from the environment is regulated by the neuromodulatory systems in its brain. A vertebrate’s behaviors like focusing attention, cautious risk-aversion and curiosity-seeking exploration are influenced by these neuromodulators. The paper presents an autonomous robotic control approach based on vertebrate neuromodulation and its implementation on multiple open-source hardware platforms. A simple neural network is used to model the neuromodulatory functions for generating context based behavioral responses to sensory signals. The neural network incorporates three types of neurons — attention focusing cholinergic and noradrenergic (ACh/NE), curiosity-seeking dopaminergic (DA), and risk aversive serotonergic (5-HT) neurons. The implementation of the neuronal model on multiple relatively simple autonomous robots is illustrated through the interesting behavior of the robots adapting to changes in the environment. The implementation is done in open-source, open-access robotics software framework of Robot Operating System (ROS).
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Alomari, Muhannad, Paul Duckworth, Nils Bore, Majd Hawasly, David C. Hogg, and Anthony G. Cohn. "Grounding of Human Environments and Activities for Autonomous Robots." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/193.

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With the recent proliferation of human-oriented robotic applications in domestic and industrial scenarios, it is vital for robots to continually learn about their environments and about the humans they share their environments with. In this paper, we present a novel, online, incremental framework for unsupervised symbol grounding in real-world, human environments for autonomous robots. We demonstrate the flexibility of the framework by learning about colours, people names, usable objects and simple human activities, integrating state-of-the-art object segmentation, pose estimation, activity analysis along with a number of sensory input encodings into a continual learning framework. Natural language is grounded to the learned concepts, enabling the robot to communicate in a human-understandable way. We show, using a challenging real-world dataset of human activities as perceived by a mobile robot, that our framework is able to extract useful concepts, ground natural language descriptions to them, and, as a proof-of-concept, generate simple sentences from templates to describe people and the activities they are engaged in.
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Hou, Qitao, Chenchen Gu, Xiaoyu Wang, Yating Zhang, and Ping Zhao. "Dynamic Trajectory Planning of a 7-DOF Surgical Robot Based on HER-DDPG Algorithm." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70294.

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Abstract Traditional trajectory planning approaches are currently lacking in intelligence and autonomy. We used the reinforcement learning approach to solve the autonomous trajectory planning of the robot arm to avoid obstacles with uniform motion and hit the target point quickly with obstacle avoidance planning for surgical robots taken as the practical background. We used the algorithm of experience playback mechanism combined with off-policy DDPG based on reinforcement learning, and after several iterations, the robot completed trajectory planning with obstacle avoidance autonomously. Moving obstacles were added to roughly simulate the autonomous obstacle avoidance of a surgical robotic arm with moving medical personnel or mobile instruments in the operating room, based on the simple trajectory planning example of Open-AI Open-Source Project Baseline, combined with the research context. Sparse rewards were used for each iteration based on the HER algorithm, so that each attempt could gain experience. The HER-DDPG method can quickly complete the manipulator’s trajectory planning in a simulation environment, which is critical for the surgical robot’s autonomous positioning in the real world. Furthermore, the experience playback system has been tested to allow full use of sparse rewards and handle parallel tasks equally well.
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Khan, Muhammad Tahir, and Clarence de Silva. "Immune System-Inspired Dynamic Multi-Robot Coordination." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87715.

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This paper investigates multi-robot coordination for the deployment of autonomous mobile robots in order to carry out a specific task. A key to utilizing of the full potential of cooperative multi-robot systems is effective and efficient multi-robot coordination. The paper presents a novel method of multi-robot coordination based on an Artificial Immune System. The developed approach relies on Jern’s Immune Network Theory, which concerns how an antibody stimulates or suppresses another antibody and recognizes non-self antigens. In the present work, the robots are analogous to antibodies and the robotic task is analogous to an antigen in a biological immune system. Furthermore, stimulation and suppression in an immune system correspond to communication among robots. The artificial immune system will select the appropriate number of antibodies autonomously to eliminate the antigens. The developed method of multirobot coordination is verified by computer simulation.
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Hu, Yuanda, Yate Ge, Tianyue Yang, and Xiaohua Sun. "An Interactive Learning Framework for Item Ownership Relationship in Service Robots." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003744.

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Autonomous agents, including service robots, require adherence to moral values, legal regulations, and social norms to interact effectively with humans. A vital aspect of this is the acquisition of ownership relationships between humans and their carrying items, which leads to practical benefits and a deeper understanding of human social norms. The proposed framework enables the robots to learn item ownership relationships autonomously or through user interaction. The autonomous learning component is based on Human-Object Interaction (HOI) detection, through which the robot acquires knowledge of item ownership by recognizing correlations between human-object interactions. The interactive learning component allows for natural interaction between users and the robot, enabling users to demonstrate item ownership by presenting items to the robot. The learning process has been divided into four stages to address the challenges posed by changing item ownership in real-world scenarios. While many aspects of ownership relationship learning remain unexplored, this research aims to explore and design general approaches to item ownership learning in service robots concerning their applicability and robustness. In future work, we will evaluate the performance of the proposed framework through a case study.
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Sohal, Shubhdildeep S., Wael Saab, and Pinhas Ben-Tzvi. "Improved Alignment Estimation for Autonomous Docking of Mobile Robots." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85626.

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This paper presents the methodology for an improved visual tracking, intended for the autonomous control of mobile robots. We propose the cumulated use of the image processing method and positioning sensors for an improved visual tracking. The method primarily uses detection, tracking, and recognition techniques to locate the targets. The use of such methods will enable the robot to monitor the real-time continuous changes in the orientation and the alignment with respect to the target module. The proposed methodology is implemented on a subsisting genderless coupling mechanism which is integrated into a multi-directional hybrid locomotion module to test the alignment accuracy in an autonomous docking procedure. The long-term objective is to demonstrate the autonomous docking and self-reconfiguration of multiple mobile robots.
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Reports on the topic "Autonomous Robots"

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Leonard, John J. Cooperative Autonomous Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada463215.

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Roppel, Thaddeus A. Cooperative Autonomous Robots for Reconnaissance. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada499760.

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Gage, Douglas W. Security Considerations for Autonomous Robots. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada422545.

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Celmins, Aivars. Terrain Exploration by Autonomous Robots. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada383123.

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Simmons, Reid, Allison Bruce, Dani Goldberg, Adam Goode, Alan Schultz, William Adams, Ian Horswill, David Kortenkamp, Bryn Wolfe, and Bruce Maxwell. GRACE and GEORGE: Autonomous Robots for the AAAI Robot Challenge. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada434971.

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Harmon, S. Y., W. A. Aviles, and D. W. Gage. A Technique for Coordinating Autonomous Robots. Fort Belvoir, VA: Defense Technical Information Center, April 1986. http://dx.doi.org/10.21236/ada422576.

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Tilden, M., B. Hasslacher, R. Mainieri, and J. Moses. Autonomous biomorphic robots as platforms for sensors. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/383655.

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Olson, Edwin. JOMAR: Joint Operations with Mobile Autonomous Robots. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ada635952.

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Swiecicki, Clifford C., Linda R. Elliott, and Robert Wooldridge. Squad-Level Soldier-Robot Dynamics: Exploring Future Concepts Involving Intelligent Autonomous Robots. Fort Belvoir, VA: Defense Technical Information Center, February 2015. http://dx.doi.org/10.21236/ada613746.

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Gaudiano, Paolo. Adaptive Control and Navigation of Autonomous Mobile Robots. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada381430.

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