Relevant bibliographies by topics / Aerial robot

Academic literature on the topic 'Aerial robot'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Aerial robot"

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Zou, Jie Tong, Guan Wei Huang, and Chieh Yueh Hsu. "The Design and Implementation of Hexa-Rotor Aerial Robot." Applied Mechanics and Materials 300-301 (February 2013): 357–61. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.357.

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Today, when the robot technology is booming, various sensors and intelligent functions that applied in robots can be transferred and applied to the unmanned aerial robot. It will make the unmanned aerial robot not an ordinary UAV any longer, but an intelligent robot that can fly. Conventional UAVs are not well suited for use in confined spaces, such as small passageways or indoor halls, e.t.c. The multi-rotor copters have the vertical take-off and landing (VTOL) ability for indoor flight. The most popular research topics for multi-rotor copters are Quad- copter and Hexa-copter. The objective of this research is to design and build a hexa-rotor aerial robot. We used AVR microcontroller as the flight control system, and use three-axis gyroscope and three-axis accelerometer for attitude sensing of the aerial robot; the flight altitude is estimated with barometric altimeter; the closed loop control of the aerial robot is carried out with PID control to meet the requirements, such as self-balancing, hovering and etc. Multi-sensors had been applied to the hexa-rotor aerial robot, and verified the feasibility with experiments. A universal test platform was designed to test the stability and balance of the Hexa-rotor aerial robot. An external force was applied on the aerial robot from pitch, roll and yaw direction, the aerial robot can return to self-balancing flight quickly. Finally, the hexa-rotor aerial robot can make a stable hovering during the outdoor test fly.
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Chen, Junjie, Shuai Li, Donghai Liu, and Xueping Li. "AiRobSim: Simulating a Multisensor Aerial Robot for Urban Search and Rescue Operation and Training." Sensors 20, no. 18 (September 13, 2020): 5223. http://dx.doi.org/10.3390/s20185223.

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Unmanned aerial vehicles (UAVs), equipped with a variety of sensors, are being used to provide actionable information to augment first responders’ situational awareness in disaster areas for urban search and rescue (SaR) operations. However, existing aerial robots are unable to sense the occluded spaces in collapsed structures, and voids buried in disaster rubble that may contain victims. In this study, we developed a framework, AiRobSim, to simulate an aerial robot to acquire both aboveground and underground information for post-disaster SaR. The integration of UAV, ground-penetrating radar (GPR), and other sensors, such as global navigation satellite system (GNSS), inertial measurement unit (IMU), and cameras, enables the aerial robot to provide a holistic view of the complex urban disaster areas. The robot-collected data can help locate critical spaces under the rubble to save trapped victims. The simulation framework can serve as a virtual training platform for novice users to control and operate the robot before actual deployment. Data streams provided by the platform, which include maneuver commands, robot states and environmental information, have potential to facilitate the understanding of the decision-making process in urban SaR and the training of future intelligent SaR robots.
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Muramatsu, Satoshi, Tetsuo Tomizawa, Shunsuke Kudoh, and Takashi Suehiro. "Mobile Robot Navigation Utilizing the WEB Based Aerial Images Without Prior Teaching Run." Journal of Robotics and Mechatronics 29, no. 4 (August 20, 2017): 697–705. http://dx.doi.org/10.20965/jrm.2017.p0697.

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In order to realize the work of goods conveyance etc. by robot, localization of robot position is fundamental technology component. Map matching methods is one of the localization technique. In map matching method, usually, to create the map data for localization, we have to operate the robot and measure the environment (teaching run). This operation requires a lot of time and work. In recent years, due to improved Internet services, aerial image data is easily obtained from Google Maps etc. Therefore, we utilize the aerial images as a map data to for mobile robots localization and navigation without teaching run. In this paper, we proposed the robot localization and navigation technique using aerial images. We verified the proposed technique by the localization and autonomous running experiment.
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Nishi, Kensuke, and Hirohisa Kojima. "1B13 Aerial Robot Performance by Link Motion." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1B13–1_—_1B13–8_. http://dx.doi.org/10.1299/jsmemovic.2010._1b13-1_.

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Trujillo, Juan-Carlos, Rodrigo Munguia, and Antoni Grau. "Aerial Cooperative SLAM for Ground Mobile Robot Path Planning." Engineering Proceedings 6, no. 1 (May 20, 2021): 65. http://dx.doi.org/10.3390/i3s2021dresden-10164.

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The trajectory planning for ground mobile robots operating in unknown environments can be a difficult task. In many cases, the sensors used for detecting obstacles only provide information about the immediate surroundings, making it difficult to generate an efficient long-term path. For instance, a robot can easily choose to move along a free path that, eventually, will have a dead end. This research is intended to develop a cooperative scheme of visual-based aerial simultaneous localization and mapping (SLAM) that will be used for generating a safe long-term trajectory for a ground mobile robot. The general idea is to take advantage of the high-altitude point of view of aerial robots to obtain spatial information of a wide area of the surroundings of the robot. In this case, it could be seen as having a zenithal picture of the labyrinth to solve the robot’s path. More specifically, the system will generate a wide area spatial map of the ground robot’s obstacles from the images taken by a team of aerial robots equipped with onboard cameras, by means of a cooperative visual-based SLAM method. At the same time, the map will be used to generate a safe path for the ground mobile robot. While the ground robot moves, its onboard sensors will be used to refinine the map and, thus, to avoid obstacles that were not detected from the aerial images.
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Austin, Reg G. "The Sprite aerial robot." Industrial Robot: An International Journal 24, no. 2 (April 1997): 152–57. http://dx.doi.org/10.1108/01439919710165707.

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Chen, Yang, Shiwen Ren, Zhihuan Chen, Mengqing Chen, and Huaiyu Wu. "Path Planning for Vehicle-borne System Consisting of Multi Air–ground Robots." Robotica 38, no. 3 (June 17, 2019): 493–511. http://dx.doi.org/10.1017/s0263574719000808.

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SummaryThis paper considers the path planning problem for deployment and collection of a marsupial vehicle system which consists of a ground mobile robot and two aerial flying robots. The ground mobile robot, usually unmanned ground vehicle (UGV), as a carrier, is able to deploy and harvest the aerial flying robots, and each aerial flying robot, usually unmanned aerial vehicles (UAVs), takes off from and lands on the carrier. At the same time, owing to the limited duration in the air in one flight, UAVs should return to the ground mobile robot timely for its energy-saving and recharge. This work is motivated by cooperative search and reconnaissance missions in the field of heterogeneous robot system. Especially, some targets with given positions are assumed to be visited by any of the UAVs. For the cooperative path planning problem, this paper establishes a mathematical model to solve the path of two UAVs and UGV. Many real constraints including the maximum speed of two UAVs and UGV, the minimum charging time of two UAVs, the maximum hovering time of UAVs, and the dynamic constraints among UAVs and UGV are considered. The objective function is constructed by minimizing the time for completing the whole mission. Finally, the path planning problem of the robot system is transformed into a multi-constrained optimization problem, and then the particle swarm optimization algorithm is used to obtain the path planning results. Simulations and comparisons verify the feasibility and effectiveness of the proposed method.
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Roscia, Francesco, Andrea Cumerlotti, Andrea Del Prete, Claudio Semini, and Michele Focchi. "Orientation Control System: Enhancing Aerial Maneuvers for Quadruped Robots." Sensors 23, no. 3 (January 20, 2023): 1234. http://dx.doi.org/10.3390/s23031234.

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For legged robots, aerial motions are the only option to overpass obstacles that cannot be circumvented with standard locomotion gaits. In these cases, the robot must perform a leap to either jump onto the obstacle or fly over it. However, these movements represent a challenge, because, during the flight phase, the Center of Mass (CoM) cannot be controlled, and there is limited controllability over the orientation of the robot. This paper focuses on the latter issue and proposes an Orientation Control System (OCS), consisting of two rotating and actuated masses (flywheels or reaction wheels), to gain control authority on the orientation of the robot. Due to the conservation of angular momentum, the rotational velocity if the robot can be adjusted to steer the robot’s orientation, even when the robot has no contact with the ground. The axes of rotation of the flywheels are designed to be incident, leading to a compact orientation control system that is capable of controlling both roll and pitch angles, considering the different moments of inertia in the two directions. The concept was tested by means of simulations on the robot Solo12.
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Lentink, David. "Coevolving advances in animal flight and aerial robotics." Interface Focus 7, no. 1 (February 6, 2017): 20160119. http://dx.doi.org/10.1098/rsfs.2016.0119.

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Our understanding of animal flight has inspired the design of new aerial robots with more effective flight capacities through the process of biomimetics and bioinspiration. The aerodynamic origin of the elevated performance of flying animals remains, however, poorly understood. In this themed issue, animal flight research and aerial robot development coalesce to offer a broader perspective on the current advances and future directions in these coevolving fields of research. Together, four reviews summarize and 14 reports contribute to our understanding of low Reynolds number flight. This area of applied aerodynamics research is challenging to dissect due to the complicated flow phenomena that include laminar–turbulent flow transition, laminar separation bubbles, delayed stall and nonlinear vortex dynamics. Our mechanistic understanding of low Reynolds number flight has perhaps been advanced most by the development of dynamically scaled robot models and new specialized wind tunnel facilities: in particular, the tiltable Lund flight tunnel for animal migration research and the recently developed AFAR hypobaric wind tunnel for high-altitude animal flight studies. These world-class facilities are now complemented with a specialized low Reynolds number wind tunnel for studying the effect of turbulence on animal and robot flight in much greater detail than previously possible. This is particular timely, because the study of flight in extremely laminar versus turbulent flow opens a new frontier in our understanding of animal flight. Advancing this new area will offer inspiration for developing more efficient high-altitude aerial robots and removes roadblocks for aerial robots operating in turbulent urban environments.
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Michael, Nathan, Jonathan Fink, and Vijay Kumar. "Controlling Ensembles of Robots via a Supervisory Aerial Robot." Advanced Robotics 22, no. 12 (January 2008): 1361–77. http://dx.doi.org/10.1163/156855308x344873.

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Dissertations / Theses on the topic "Aerial robot"

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Ward, Paul A. "Coordinated search with unmanned aerial vehicle teams." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:37407b90-51e7-4814-936c-4817ea0c711f.

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Advances in mobile robot technology allow an increasing variety of applications to be imagined, including: search and rescue, exploration of unknown areas and working with hazardous materials. State of the art robots are able to behave autonomously and without direct human control, using on-board devices to perceive, navigate and reason about the world. Unmanned Aerial Vehicles (UAVs) are particularly well suited to performing advanced sensing tasks by moving rapidly through the environment irrespective of the terrain. Deploying groups of mobile robots offers advantages, such as robustness to individual failures and a reduction in task completion time. However, to operate efficiently these teams require specific approaches to enable the individual agents to cooperate. This thesis proposes coordinated approaches to search scenarios for teams of UAVs. The primary application considered is Wilderness Search and Rescue (WiSaR), although the techniques developed are applicable elsewhere. A novel frontier-based search approach is developed for rotor-craft UAVs, taking advantage of available terrain information to minimise altitude changes during flight. This is accompanied by a lightweight coordination mechanism to enable cooperative behaviour with minimal additional overhead. The concept of a team rendezvous is introduced, at which all team members attend to exchange data. This also provides an ideal opportunity to create a comprehensive team solution to relay newly gathered data to a base station. Furthermore, the delay between sensing and the acquired data becoming available to mission commanders is analysed and a technique proposed for adapting the team to meet a latency requirement. These approaches are evaluated and characterised experimentally through simulation. Coordinated frontier search is shown to outperform greedy walk methods, reducing redundant sensing coverage using only a minimal coordination protocol. Combining the search, rendezvous and relay techniques provides a holistic approach to the deployment of UAV teams, meeting mission objectives without extensive pre-configuration.
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Williams, Richard Michael. "Multi-robot collaborative visual navigation with micro aerial vehicles." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3006977/.

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Micro Aerial Vehicles (MAVs), particularly multi-rotor MAVs have gained significant popularity in the autonomous robotics research field. The small size and agility of these aircraft makes them safe to use in contained environments. As such MAVs have numerous applications with respect to both the commercial and research fields, such as Search and Rescue (SaR), surveillance, inspection and aerial mapping. In order for an autonomous MAV to safely and reliably navigate within a given environment the control system must be able to determine the state of the aircraft at any given moment. The state consists of a number of extrinsic variables such as the position, velocity and attitude of the MAV. The most common approach for outdoor operations is the Global Positioning System (GPS). While GPS has been widely used for long range navigation in open environments, its performance degrades significantly in constrained environments and is unusable indoors. As a result state estimation for MAVs in such constrained environments is a popular and exciting research area. Many successful solutions have been developed using laser-range finder sensors. These sensors provide very accurate measurements at the cost of increased power and weight requirements. Cameras offer an attractive alternative state estimation sensor; they offer high information content per image coupled with light weight and low power consumption. As a result much recent work has focused on state estimation on MAVs where a camera is the only exteroceptive sensor. Much of this recent work focuses on single MAVs, however it is the author's belief that the full potential and benefits of the MAV platform can only be realised when teams of MAVs are able to cooperatively perform tasks such as SaR or mapping. Therefore the work presented in this thesis focuses on the problem of vision-based navigation for MAVs from a multi-robot perspective. Multi-robot visual navigation presents a number of challenges, as not only must the MAVs be able to estimate their state from visual observations of the environment but they must also be able to share the information they gain about their environment with other members of the team in a meaningful fashion. The meaningful sharing of observations is achieved when the MAVs have a common frame of reference for both positioning and observations. Such meaningful information sharing is key to achieving cooperative multi-robot navigation. In this thesis two main ideas are explored to address these issues. Firstly the idea of appearance based (re)-localisation is explored as a means of establishing a common reference frame for multiple MAVs. This approach allows a team of MAVs to very easily establish a common frame of reference prior to starting their mission. The common reference frame allows all subsequent operations, such as surveillance or mapping, to proceed with direct cooperative between all MAVs. The second idea focuses on the structure and nature of the inter-robot communication with respect to visual navigation; the thesis explores how a partially distributed architecture can be used to vastly improve the scalability and robustness of a multi-MAV visual navigation framework. A navigation framework would not be complete without a means of control. In the multi-robot setting the control problem is complicated by the need for inter-robot collision avoidance. This thesis presents a MAV trajectory controller based on a combination of classical control theory and distributed Velocity Obstacle (VO) based collision avoidance. Once a means of control is established an autonomous multi-MAV team requires a mission. One such mission is the task of exploration; that is exploration of a previously unknown environment in order to produce a map and/or search for objects of interest. This thesis also addressed the problem of multi-robot exploration using only the sparse interest-point data collected from the visual navigation system. In a multi-MAV exploration scenario the problem of task allocation, assigning areas to each MAV to explore, can be a challenging one. An auction-based protocol is considered to address the task allocation problem. The two applications discussed, VO-based trajectory control and auction-based environment exploration, form two case studies which serve as the partial basis of the evaluation of the navigation solutions presented in this thesis. In summary the visual navigation systems presented in this thesis allow MAVs to cooperatively perform task such as collision avoidance and environment exploration in a robust and efficient manner, with large teams of MAVs. The work presented is a step in the direction of fully autonomous teams of MAVs performing complex, dangerous and useful tasks in the real world.
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Simões, Mauro André Oliveira. "Development of an aerial robot for inspection and surveillance." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2515.

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Mestrado em Engenharia Mecânica
Os veículos aéreos não tripulados são cada vez mais procurados para desempenhar diversas tarefas do quotidiano. Estes sistemas são, no entanto, caros e necessitam de equipas grandes para serem operados. O controlo de veículos aéreos autónomos num ambiente parcialmente conhecido é uma tarefa complexa. Os sistemas actuais são baseados em sensores e sistemas de controlo relativamente dispendiosos, e são frequentemente pesados, necessitando de uma grande quantidade de energia. O principal objectivo deste projecto é desenvolver um sistema aéreo não tripulado, fácil de operar, para inspecção e monitorização. Integrados neste sistema encontram-se a plataforma do robô aéreo, o sistema de controlo e a estação de controlo remoto. A plataforma desenvolvida é baseada em veículos mais leves que o ar. Pretende-se que esta plataforma seja capaz de navegar por espaços confinados e também em ambientes fechados. A esta plataforma foram incorporados sensores e sistemas de controlo leves e de baixo consumo de energia. Para a estação de supervisão foi desenvolvido um programa que permite o controlo do robô e supervisão dos objectivos da missão. A interface gráfica permite de uma forma intuitiva efectuar o controlo do robô. Os testes iniciais permitiram demonstrar as capacidades dos sistemas desenvolvidos para atingir os objectivos propostos. ABSTRACT: Unmanned aerial vehicles are being increasingly sought to perform every days tasks. But these systems are still costly and require a large crew of mission controllers and pilots to adequately manoeuvre the UAV. Managing and control an autonomous air vehicle in a partially known and uncontrolled environment is a complex problem. Current UAVs are based on costly sensors and control systems. These control systems are also usually heavy and demand large amounts of power. This thesis aims to develop an easy to operate unmanned aerial system for surveillance and monitoring missions. As part of this system will be developed an aerial platform, the embedded control system, the ground station with a graphical interface. The platform designed is based on a small lighter-than-air vehicle. To successfully complete the mission objectives the UAV must be capable of navigate through constrained areas and endow indoor flights. The UAV is equipped with low power consumption sensors and processors. For the ground station will be developed an application to control and monitor the UAV status. The graphical user interface application provide an easy to use interface to control and monitor the mission objectives. The initial tests allowed to validate the feasibility of the systems developed to achieve the proposed goals.
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Winston, Crystal(Crystal E. ). "A Multi-modal Robot for Ground and Aerial Locomotion." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123246.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 39-40).
This thesis describes the design and testing of a quadcopter that capable of both driving and flying. This was achieved by mounting quadcopter motors and propellers to the center of each of the robot's four wheels. The wheels are then capable of changing orientation in order to allow the robot to either drive or fly. Each of these wheels contains a gearing and bearing system that decouples the rotation of the wheels from the rotation of the propellers and also houses the system's landing gear. The prototype described in this thesis is capable of driving on flat surfaces as well as vertical take-off and landing. Further improvements to the system would be required in order for it to perform longer flights, complex aerial maneuvers, drive on uneven surfaces, or carry additional payloads.
by Crystal Winston.
S.B.
S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering
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Heslinga, Paul. "Analysis and Realization of a Dual-Nacelle Tiltrotor Aerial Vehicle." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/627.

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Unmanned aerial vehicles are a salient solution for rapid deployment in disaster relief, search and rescue, and warfare operations. In these scenarios, the agility, maneuverability and speed of the UAV are vital components towards saving human lives, successfully completing a mission, or stopping dangerous threats. Hence, a high speed, highly agile, and small footprint unmanned aerial vehicle capable of carrying minimal payloads would be the best suited design for completing the desired task. This thesis presents the design, analysis, and realization of a dual-nacelle tiltrotor unmanned aerial vehicle. The design of the dual-nacelle tiltrotor aerial vehicle utilizes two propellers for thrust with the ability to rotate the propellers about the sagittal plane to provide thrust vectoring. The dual-nacelle thrust vectoring of the aerial vehicle provides a slimmer profile, a smaller hover footprint, and allows for rapid aggressive maneuvers while maintaining a desired speed to quickly navigate through cluttered environments. The dynamic model of the dual-nacelle tiltrotor design was derived using the Newton-Euler method and a nonlinear PD controller was developed for spatial trajectory tracking. The dynamic model and nonlinear PD controller were implemented in Matlab Simulink using SimMechanics. The simulation verified the ability of the controlled tiltrotor to track a helical trajectory. To study the scalability of the design, two prototypes were developed: a micro scale tiltrotor prototype, 50mm wide and weighing 30g, and a large scale tiltrotor prototype, 0.5m wide and weighing 2.8kg. The micro scale tiltrotor has a 1.6:1 thrust to weight ratio with an estimated flight time of 6 mins in hover. The large scale tiltrotor has a 2.3:1 thrust to weight ratio with an estimated flight time of 4 mins in hover. A detailed realization of the tiltrotor prototypes is provided with discussions on mechanical design, fabrication, hardware selection, and software implementation. Both tiltrotor prototypes successfully demonstrated hovering, altitude, and yaw maneuvering while tethered and remotely controlled. The developed prototypes provide a framework for further research and development of control strategies for the aggressive maneuvering of underactuated tiltrotor aerial vehicles.
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Ozdemir, Segah. "Multi Objective Conceptual Design Optimization Of An Agricultural Aerial Robot (aar)." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606610/index.pdf.

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Multiple Cooling Multi Objective Simulated Annealing algorithm has been combined with a conceptual design code written by the author to carry out a multi objective design optimization of an Agricultural Aerial Robot. Both the single and the multi objective optimization problems are solved. The performance figures of merits for different aircraft configurations are compared. In this thesis the potential of optimization as a powerful design tool to the aerospace problems is demonstrated.
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Hager, Daniel Michael. "Situational Awareness of a Ground Robot From an Unmanned Aerial Vehicle." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/32825.

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In the operation of unmanned vehicles, safety is a primary concern. This thesis focuses on the use of computer vision in the development of a situational awareness system that allows for safe deployment and operation of a ground robot from an unmanned aerial vehicle (UAV). A method for detecting utility cables in 3D range images is presented. This technique finds areas of an image that represent edges in 3D space, and uses the Hough transform to find those edges that take the shape of lines, indicating potential utility cables. A mission plan for stereo image capture is laid out as well for overcoming some weaknesses of the stereo vision system; this helps ensure that all utility cables in a scene are detected. In addition, the system partitions the point cloud into best-fit planes and uses these planes to locate areas of the scene that are traversable by a ground robot. Each planeâ s slope is tested against an acceptable value for negotiation by the robot, and the drop-off between the plane and its neighbors is examined as well. With the results of this analysis, the system locates the largest traversable region of the terrain using concepts from graph theory. The system displays this region to the human operator with the drop-offs between planes clearly indicated. The position of the robot is also simulated in this system, and real-time feedback regarding dangerous moves is issued to the operator. After a ground robot is deployed to the chosen site, the system must be capable of tracking it in real time as well. To this end, a software routine that uses ARToolkitâ s marker tracking capabilities is developed. This application computes the distance to the robot, as well as the horizontal distance from camera to the robot; this allows the flight controller to issue the proper commands to keep the robot centered underneath the UAV.
Master of Science
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Yu, Kevin L. "Persistent Monitoring with Energy-Limited Unmanned Aerial Vehicles Assisted by Mobile Recharging Stations." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83493.

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We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on stationary recharging stations or on Unmanned Ground Vehicles (UGVs) acting as mobile recharging stations. This leads to a new variant of the Traveling Salesperson Problem (TSP) with mobile recharging stations. We present an algorithm that finds not only the order in which to visit the sites but also when and where to land on the charging stations to recharge. Our algorithm plans tours for the UGVs as well as determines the best locations to place stationary charging stations. While the problems we study are NP-Hard, we present a practical solution using Generalized TSP that finds the optimal solution. If the UGVs are slower, the algorithm also finds the minimum number of UGVs required to support the UAV mission such that the UAV is not required to wait for the UGV. We present a calibration routine to identify parameters that are needed for our algorithm as well as simulation results that show the running time is acceptable for reasonably sized instances in practice. We evaluate the performance of our algorithm through simulations and proof-of-concept experiments with a fully autonomous system of one UAV and UGV.
Master of Science
Commercially available Unmanned Aerial Vehicles (UAVs), especially multi-rotor aircrafts, have a flight time of less than 30 minutes. However many UAV applications, such as surveillance, package delivery, and infrastructure monitoring, require much longer flight times. To address this problem, we present a system in which an Unmanned Ground Vehicle (UGV) can recharge the UAV during deployments. This thesis studies the problem of finding when, where, and how much to recharge the battery. We also allow for the UGV to recharge while moving from one site to another. We present an algorithm that finds the paths for the UAV and UGV to visit a set of points of interest in the least time possible. We also present algorithms for cases when the UGV is slower than the UAV, and more than one UGV may be required. We evaluate our algorithms through simulations and proof-of-concept experiments.
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Ingalls, Stephen A. "Application of concurrent engineering methods to the design of an autonomous aerial robot." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/12222.

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Ramos, Nicole R. "Assessment of vision-based target detection and classification solutions using an indoor aerial robot." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/43984.

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Approved for public release; distribution is unlimited
The role of unmanned aerial vehicles (UAVs) in military, commercial and recreational applications is continuously evolving as devel-opments in technology increase capabilities. The research herein presents an inexpensive computer-vision-based solution for detection and classification of a stationary target with a mobile aerial sensor as a prototyping platform. The main goal of this system is to use commercial-off-the-shelf and open-source components to reduce design complexity to provide a legacy product for future develop-ment of specific capabilities. Color imagery collected during flight using a low-resolution camera is used to test the application of a simple algorithm against a commercially available and low cost sensor. Original image processing algorithms that leverage the existing body of works in the open-source community are developed and tested within the Systems Engineering construct. System architec-ture leverages a modular approach that can be easily modified and adapted to changing requirements and objectives. Conclusions are drawn and recommendations for further study and system development are presented.
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Books on the topic "Aerial robot"

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Markov, Alexander B. Robot-9 and Robot-7T performance characteristics and safety envelopes: Low altitude trajectories (U). Ralston, Alta: Defence Research Establishment Suffield, 1989.

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Sarcinelli-Filho, Mario, and Ricardo Carelli. Control of Ground and Aerial Robots. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23088-2.

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Bestaoui Sebbane, Yasmina. Planning and Decision Making for Aerial Robots. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03707-3.

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Vepa, Ranjan. Nonlinear Control of Robots and Unmanned Aerial Vehicles. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor &: CRC Press, 2016. http://dx.doi.org/10.1201/9781315367378.

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Zufferey, Raphael, Robert Siddall, Sophie F. Armanini, and Mirko Kovac. Between Sea and Sky: Aerial Aquatic Locomotion in Miniature Robots. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89575-4.

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Martin, N. E. Using aerial photos to fingerprint a stand for root disease research. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1986.

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Martin, N. E. Using aerial photos to fingerprint a stand for root disease research. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1986.

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Tognon, Marco, and Antonio Franchi. Theory and Applications for Control of Aerial Robots in Physical Interaction Through Tethers. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-48659-4.

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Kanaskie, Alan. Ground verification of aerial survey for Port-Orford-cedar root disease in southwest Oregon. Portland, OR: Pacific Northwest Research Station, USDA Forest Service, Forestry Sciences Laboratory, 2002.

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Sandler, Corey. Official Sega Genesis and Game Gear strategies, 3RD Edition. New York: Bantam Books, 1992.

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Book chapters on the topic "Aerial robot"

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Bestaoui Sebbane, Yasmina. "Multi Aerial Robot Planning." In Intelligent Systems, Control and Automation: Science and Engineering, 317–95. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03707-3_5.

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Loor, Steeven J., Alan R. Bejarano, Franklin M. Silva, and Víctor H. Andaluz. "Construction and Control Aerial Manipulator Robot." In Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 116–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55789-8_11.

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Onosato, Masahiko, Satoshi Tadokoro, Hiroaki Nakanishi, Kenzo Nonami, Kuniaki Kawabata, Yasushi Hada, Hajime Asama, et al. "Disaster Information Gathering Aerial Robot Systems." In Rescue Robotics, 33–55. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-474-4_3.

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Gosiewski, Zdzisław, and Leszek Ambroziak. "Formation Flight Control Scheme for Unmanned Aerial Vehicles." In Robot Motion and Control 2011, 331–40. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2343-9_28.

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Zhao, Moju, Kei Okada, and Masayuki Inaba. "Aerial Manipulation and Grasping by the Versatile Multilinked Aerial Robot DRAGON." In Springer Proceedings in Advanced Robotics, 343–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95459-8_21.

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Chataigner, François, Pedro Cavestany, Marcel Soler, Carlos Rizzo, Jesus-Pablo Gonzalez, Carles Bosch, Jaume Gibert, Antonio Torrente, Raúl Gomez, and Daniel Serrano. "ARSI: An Aerial Robot for Sewer Inspection." In Springer Tracts in Advanced Robotics, 249–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22327-4_12.

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Al-Kaff, Abdulla, Juan Camilo Soto Triviño, Raúl Sosa San Frutos, Arturo de la Escalera, and José María Armingol Moreno. "Aerial Image Mosaicking for Multi-purpose Civil Applications." In ROBOT 2017: Third Iberian Robotics Conference, 803–16. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70833-1_65.

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Dias, Paulo, João Silva, Rafael Castro, and António J. R. Neves. "Detection of Aerial Balls Using a Kinect Sensor." In RoboCup 2014: Robot World Cup XVIII, 537–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18615-3_44.

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Grau, Pedro, Alejandro Suarez, Victor Manuel Vega, Angel Rodriguez-Castaño, and Anibal Ollero. "Design of a High Performance Dual Arm Aerial Manipulator." In ROBOT 2017: Third Iberian Robotics Conference, 730–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70833-1_59.

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Weintraub, Isaac E., David O. Sigthorsson, Michael W. Oppenheimer, and David B. Doman. "Implementation of Split-Cycle Control for Micro Aerial Vehicles." In Robot Intelligence Technology and Applications 2, 859–76. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05582-4_76.

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Conference papers on the topic "Aerial robot"

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Kumar, Vijay. "Aerial robot swarms." In the 12th international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2461381.2461384.

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Michael, Nathan, Soonkyum Kim, Jonathan Fink, and Vijay Kumar. "Kinematics and Statics of Cooperative Multi-Robot Aerial Manipulation With Cables." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87677.

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This paper addresses the forward and inverse kinematics of payloads carried by aerial robots. We address the cases with one, two, and three aerial robots and derive the kinematics and conditions for stable static equilibrium. For the case with one or two robots, we can establish the maximum number of equilibrium positions. The three-robot case is seen to be much harder primarily because of the non-negative tension constraints. We restrict the set of possible solutions to the forward and inverse problems by considering the equations of static equilibrium and kinematic constraints. Analytic and numeric methods to determine equilibrium configurations and stability are presented.
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Shi, Fan, Moju Zhao, Masaki Murooka, Kei Okada, and Masayuki Inaba. "Aerial Regrasping: Pivoting with Transformable Multilink Aerial Robot." In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9196576.

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Tan, Chee How, Shaohui Foong, and Katja Hölttä-Otto. "Efficient Design Principles for Designing Innovative Aerial Robots." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69583.

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Abstract The field of aerial robotics has advanced rapidly, but the design knowledge has not yet been codified into reusable design principles. Design principles have been developed for many other areas of mechanical design to both advance the field itself and help novice designers benefit from the past expert knowledge easier. We used an inductive approach and collected 90 aerial robot examples through the reviewing of recent work in aerial robotics and studying the key motivations, features, functionalities and potential design contradictions. Then, design principles are iteratively derived by identifying patterns and grouping them by the problem they solve, and the innovation made to solve it. From this, we find 35 unique design examples that can be grouped into either fourteen design principles for more sensing, battery, mission, or actuation efficient design; or six design principles to improve a desired functionality in an aerial robot such as reducing complexity or improving how the robot can interact with objects or its environment. We compared the research results with similar work in the area of mechanical design and examined the commonalities and highlighted design principles unique to aerial robots. The design principles presented in this research can support the design for future innovative aerial robots.
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Johnson, Samuel A., and Justin M. Vallely. "A portable aerial surveillance robot." In Defense and Security Symposium, edited by Edward M. Carapezza. SPIE, 2006. http://dx.doi.org/10.1117/12.660741.

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Berezny, Nick, Lilian de Greef, Bradley Jensen, Kimberly Sheely, Malen Sok, David Lingenbrink, and Zachary Dodds. "Accessible aerial autonomy." In 2012 IEEE Conference on Technologies for Practical Robot Applications (TePRA). IEEE, 2012. http://dx.doi.org/10.1109/tepra.2012.6215654.

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Zarafshan, Payam, S. Bamdad Moosavian, S. Ali A. Moosavian, and Mohsen Bahrami. "Optimal control of an Aerial Robot." In 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2008. http://dx.doi.org/10.1109/aim.2008.4601847.

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Phuong Hoai Le, Zhongkui Wang, and Shinichi Hirai. "Origami structure toward floating aerial robot." In 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2015. http://dx.doi.org/10.1109/aim.2015.7222765.

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Elsamanty, Mahmoud, Mohamed Fanni, and Ahmed Ramadan. "Novel hybrid ground/aerial autonomous robot." In 2012 First International Conference on Innovative Engineering Systems (ICIES). IEEE, 2012. http://dx.doi.org/10.1109/icies.2012.6530853.

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Youn-Ho Choi, Jung-Eun Joung, and Dong-Ha Lee. "Flapping-wing model for aerial robot." In 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2012. http://dx.doi.org/10.1109/urai.2012.6462964.

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Reports on the topic "Aerial robot"

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Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39700.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the photogrammetry and bathymetric inversion algorithms guiBathy utilizes, as well as UAS data collection requirements. The report then describes guiBathy software specifications, features, and workflow. Example guiBathy applications conclude the report with UAS bathymetry measurements taken during the 2020 Atlantic Hurricane Season, which compare favorably (root mean square error = 0.44 to 0.72 m; bias = -0.35 to -0.11 m) with in situ survey measurements. guiBathy is a standalone executable software for Windows 10 platforms and will be freely available at www.github.com/erdc.
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Gur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor, and Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7600047.bard.

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Project objectives: 1) Characterization of variation for yield heterosis in melon using Half-Diallele (HDA) design. 2) Development and implementation of image-based yield phenotyping in melon. 3) Characterization of genetic, epigenetic and transcriptional variation across 25 founder lines and selected hybrids. The epigentic part of this objective was modified during the course of the project: instead of characterization of chromatin structure in a single melon line through genome-wide mapping of nucleosomes using MNase-seq approach, we took advantage of rapid advancements in single-molecule sequencing and shifted the focus to Nanoporelong-read sequencing of all 25 founder lines. This analysis provides invaluable information on genome-wide structural variation across our diversity 4) Integrated analyses and development of prediction models Agricultural heterosis relates to hybrids that outperform their inbred parents for yield. First generation (F1) hybrids are produced in many crop species and it is estimated that heterosis increases yield by 15-30% globally. Melon (Cucumismelo) is an economically important species of The Cucurbitaceae family and is among the most important fleshy fruits for fresh consumption Worldwide. The major goal of this project was to explore the patterns and magnitude of yield heterosis in melon and link it to whole genome sequence variation. A core subset of 25 diverse lines was selected from the Newe-Yaar melon diversity panel for whole-genome re-sequencing (WGS) and test-crosses, to produce structured half-diallele design of 300 F1 hybrids (MelHDA25). Yield variation was measured in replicated yield trials at the whole-plant and at the rootstock levels (through a common-scion grafted experiments), across the F1s and parental lines. As part of this project we also developed an algorithmic pipeline for detection and yield estimation of melons from aerial-images, towards future implementation of such high throughput, cost-effective method for remote yield evaluation in open-field melons. We found extensive, highly heritable root-derived yield variation across the diallele population that was characterized by prominent best-parent heterosis (BPH), where hybrids rootstocks outperformed their parents by 38% and 56 % under optimal irrigation and drought- stress, respectively. Through integration of the genotypic data (~4,000,000 SNPs) and yield analyses we show that root-derived hybrids yield is independent of parental genetic distance. However, we mapped novel root-derived yield QTLs through genome-wide association (GWA) analysis and a multi-QTLs model explained more than 45% of the hybrids yield variation, providing a potential route for marker-assisted hybrid rootstock breeding. Four selected hybrid rootstocks are further studied under multiple scion varieties and their validated positive effect on yield performance is now leading to ongoing evaluation of their commercial potential. On the genomic level, this project resulted in 3 layers of data: 1) whole-genome short-read Illumina sequencing (30X) of the 25 founder lines provided us with 25 genome alignments and high-density melon HapMap that is already shown to be an effective resource for QTL annotation and candidate gene analysis in melon. 2) fast advancements in long-read single-molecule sequencing allowed us to shift focus towards this technology and generate ~50X Nanoporesequencing of the 25 founders which in combination with the short-read data now enable de novo assembly of the 25 genomes that will soon lead to construction of the first melon pan-genome. 3) Transcriptomic (3' RNA-Seq) analysis of several selected hybrids and their parents provide preliminary information on differentially expressed genes that can be further used to explain the root-derived yield variation. Taken together, this project expanded our view on yield heterosis in melon with novel specific insights on root-derived yield heterosis. To our knowledge, thus far this is the largest systematic genetic analysis of rootstock effects on yield heterosis in cucurbits or any other crop plant, and our results are now translated into potential breeding applications. The genomic resources that were developed as part of this project are putting melon in the forefront of genomic research and will continue to be useful tool for the cucurbits community in years to come.
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