Academic literature on the topic 'Robot control'

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Journal articles on the topic "Robot control"

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Mohd, Razali Mohamad Sapiee, and Azha Mohd Annuar Khalil. "Synchronous Mobile Robots Formation Control." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 3 (2018): 1183–92. https://doi.org/10.12928/TELKOMNIKA.v16i3.8397.

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Synchronous mobile robots formation control is one of the most challenging and interesting fields in robotics. The mobile robots communicate with each other through wireless communication to perform similar movement. This study analyzed two mobile robots that can perform synchronous movement along a shaped path. A square shape is set as a path for the mobile robot movements. The front robot being the leading robot transmits the instruction of its movement to the robot b ehind it, acting as the following robot through a wireless communication. The instruction sent by the leading robot is receiv
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Karpas, Erez, and Daniele Magazzeni. "Automated Planning for Robotics." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (2020): 417–39. http://dx.doi.org/10.1146/annurev-control-082619-100135.

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Modern robots are increasingly capable of performing “basic” activities such as localization, navigation, and motion planning. However, for a robot to be considered intelligent, we would like it to be able to automatically combine these capabilities in order to achieve a high-level goal. The field of automated planning (sometimes called AI planning) deals with automatically synthesizing plans that combine basic actions to achieve a high-level goal. In this article, we focus on the intersection of automated planning and robotics and discuss some of the challenges and tools available to employ a
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Han, Jong-Ho. "Tracking Control of Moving Sound Source Using Fuzzy-Gain Scheduling of PD Control." Electronics 9, no. 1 (2019): 14. http://dx.doi.org/10.3390/electronics9010014.

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This paper proposes fuzzy gain scheduling of proportional differential control (FGS-PD) system for tracking mobile robot to moving sound sources. Given that the target positions of the real-time moving sound sources are dynamic, the mobile robots should be able to estimate the target points continuously. In such a case, the robots tend to slip owing to abnormal velocities and abrupt changes in the tracking path. The selection of an appropriate curvature along which the robot follows a sound source makes it possible to ensure that the robot reaches the target sound source precisely. For enablin
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Kazerooni, H. "Compliance Control and Stability Analysis of Cooperating Robot manipulators." Robotica 7, no. 3 (1989): 191–98. http://dx.doi.org/10.1017/s0263574700006044.

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SUMMARYThe work presented here is the description of the control strategy of two cooperating robots. A two–finger hand is an example of such a System. The control method allows for position control of the contact point by one of the robots while the other robot controls the contact force. The stability analysis of two robot manipulators has been investigated using unstructured models for dynamic behavior of robot manipulators. For the stability of two robots, there must be some initial compliance in either robot. The initial compliance in the robots can be obtained by a non-zero sensitivity fu
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Pedro, Gabriel Duarte Gonçalves, Gabriel Bermudez, Vivian Suzano Medeiros, et al. "Quadruped Robot Control: An Approach Using Body Planar Motion Control, Legs Impedance Control and Bézier Curves." Sensors 24, no. 12 (2024): 3825. http://dx.doi.org/10.3390/s24123825.

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In robotics, the ability of quadruped robots to perform tasks in industrial, mining, and disaster environments has already been demonstrated. To ensure the safe execution of tasks by the robot, meticulous planning of its foot placements and precise leg control are crucial. Traditional motion planning and control methods for quadruped robots often rely on complex models of both the robot itself and its surrounding environment. Establishing these models can be challenging due to their nonlinear nature, often entailing significant computational resources. However, a more simplified approach exist
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Liang, Junwei, Shenyu Tang, and Bingyi Jia. "Control of Parallel Quadruped Robots Based on Adaptive Dynamic Programming Control." Machines 12, no. 12 (2024): 875. https://doi.org/10.3390/machines12120875.

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With the rapid development of robotics technology, quadruped robots have shown significant potential in navigating complex terrains due to their excellent stability and adaptability. This paper proposes an adaptive dynamic programming control method based on policy iteration, aimed at improving the motion performance and autonomous adaptability of parallel quadruped robots in unknown environments. First, the study establishes a kinematic model of the robot and performs inverse kinematics calculations to determine the angular functions for each joint of the robot’s legs. To improve the robot’s
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Rios, Jorge D., Daniel Ríos-Rivera, Jesus Hernandez-Barragan, Marco Pérez-Cisneros, and Alma Y. Alanis. "Formation Control of Mobile Robots Based on Pin Control of Complex Networks." Machines 10, no. 10 (2022): 898. http://dx.doi.org/10.3390/machines10100898.

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Robot formation control has several advantages that make it interesting for research. Multiple works have been published in the literature using different control approaches. This work presents the control of different groups of robots to achieve a desired formation based on pinning control of complex networks and coordinate translation. The implemented control law comprises complex network bounding, proportional, and collision avoidance terms. The tests for this proposal were performed via simulation and experimental tests, considering different networks of differential robots. The selected r
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Butler, John Travis, and Arvin Agah. "Control of a Mobile Service Robot Using Human Evaluations of Task-related Movement Patterns." Journal of Robotics and Mechatronics 12, no. 6 (2000): 689–701. http://dx.doi.org/10.20965/jrm.2000.p0689.

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An important future application of robotics will be the utilization of mobile service robots in homes and offices, assisting people with their daily chores. Above all, these robots must be safe to use. In addition, service robots must be designed to be effective, productive, and user-friendly. In order for people to accept and use these robots, the robots must behave in a manner acceptable to humans. The intelligent control of service robots must take into. account the effects of robot behaviors on people. This paper focuses on the interactions between humans and mobile service robots, studyin
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Peng, Huan Xin, Bin Liu, and De Hong Xu. "Robot Flocking Control with Part Information of the Virtual Leader." Applied Mechanics and Materials 364 (August 2013): 352–56. http://dx.doi.org/10.4028/www.scientific.net/amm.364.352.

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Under virtual leader-follower model, when all robots can receive the information of the virtual leader, the robot flocking algorithm can avoid diverging. For time-delay, noise and network congestion in the communication, in the fact, only part robots can receive the information of the virtual leader. In the paper, we analyze the performance of robot flocking control algorithm with part information of the virtual leader. We analyze the impact brought by the parameters on the robot flocking control when only part robots can receive the information of the virtual leader, and simulations are done.
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Xing, Guansheng, and Weichuan Meng. "Design of Robot Vision Servo Control System Based on Image." Journal of Physics: Conference Series 2136, no. 1 (2021): 012049. http://dx.doi.org/10.1088/1742-6596/2136/1/012049.

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Abstract Visual servo is a closed-loop control system of robot, which takes the image information obtained by visual sensor as feedback. Generally speaking, visual servo plays an important role in robot control, which is one of the main research directions in the field of robot control and plays a decisive role in the development of intelligent robots. In order to make the robot competent for more complex tasks and work more intelligently, autonomously and reliably, it is necessary not only to improve the control system of the robot, but also to obtain more and better information about the wor
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Dissertations / Theses on the topic "Robot control"

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Majors, Michael David. "Iterative robot control." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.625008.

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Bishop, Russell C. "A Method for Generating Robot Control Systems." Connect to resource online, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1222394834.

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Celikkanat, Hande. "Control Of A Mobile Robot Swarm Via Informed Robots." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609966/index.pdf.

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In this thesis, we study how and to what extent a self-organized mobile robot flock can be guided by informing some of the robots within the flock about a preferred direction of motion. Specifically, we extend a flocking behavior that was shown to maneuver a swarm of mobile robots as a cohesive group in free space, avoiding obstacles. In its original form, this behavior does not have a preferred direction and the flock would wander aimlessly. In this study, we incorporate a preference for a goal direction in some of the robots. These informed robots do not signal that they are informed (a.k.a.
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Dentler, Donald Richard II. "Design, Control, and Implementation of a Three Link Articulated Robot Arm." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1217208877.

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Smith, Brian Stephen. "Automatic coordination and deployment of multi-robot systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28248.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Magnus Egerstedt; Committee Co-Chair: Dr. Ayanna Howard; Committee Member: Dr. David Taylor; Committee Member: Dr. Frank Dellaert; Committee Member: Dr. Ian Akyildiz; Committee Member: Dr. Jeff Shamma.
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Wang, Zongyao. "Distributed robot flocking control." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499765.

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Jou, Yung-Tsan. "Human-Robot Interactive Control." Ohio University / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1082060744.

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Macdonald, Edward A. "Multi-robot assignment and formation control." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41200.

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Our research focuses on one of the more fundamental issues in multi-agent, mobile robotics: the formation control problem. The idea is to create controllers that cause robots to move into a predefined formation shape. This is a well studied problem for the scenario in which the robots know in advance to which point in the formation they are assigned. In our case, we assume this information is not given in advance, but must be determined dynamically. This thesis presents an algorithm that can be used by a network of mobile robots to simultaneously determine efficient robot assignments and forma
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Sequeira, Gerard. "Vision based leader-follower formation control for mobile robots." Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.mst.edu/thesis/pdf/Sequeira_09007dcc804429d4.pdf.

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Thesis (M.S.)--University of Missouri--Rolla, 2007.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed February 13, 2008) Includes bibliographical references (p. 39-41).
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Gaskett, Chris, and cgaskett@it jcu edu au. "Q-Learning for Robot Control." The Australian National University. Research School of Information Sciences and Engineering, 2002. http://thesis.anu.edu.au./public/adt-ANU20041108.192425.

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Q-Learning is a method for solving reinforcement learning problems. Reinforcement learning problems require improvement of behaviour based on received rewards. Q-Learning has the potential to reduce robot programming effort and increase the range of robot abilities. However, most currentQ-learning systems are not suitable for robotics problems: they treat continuous variables, for example speeds or positions, as discretised values. Discretisation does not allow smooth control and does not fully exploit sensed information. A practical algorithm must also cope with real-time constraints, sensing
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Books on the topic "Robot control"

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Canudas de Wit, Carlos, ed. Advanced Robot Control. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0039262.

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Siciliano, Bruno, and Luigi Villani. Robot Force Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4431-9.

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Shevlin, F. Robot trajectory control. Trinity College, Department of Computer Science, 1992.

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1966-, Villani Luigi, ed. Robot force control. Kluwer Academic, 1999.

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Siciliano, Bruno. Robot Force Control. Springer US, 1999.

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János, Somló. Advanced robot control. Akadémiai Kiadó, 1997.

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Lewis, Frank L. Control of robot manipulators. Macmillan Pub. Co., 1993.

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Martins, Nardênio Almeida, and Douglas Wildgrube Bertol. Wheeled Mobile Robot Control. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-77912-2.

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de Wit, Carlos Canudas, Bruno Siciliano, and Georges Bastin, eds. Theory of Robot Control. Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1501-4.

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Kozłowski, Krzysztof, ed. Robot Motion and Control. Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-405-2.

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Book chapters on the topic "Robot control"

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Bajd, Tadej, Matjaž Mihelj, Jadran Lenarčič, Aleš Stanovnik, and Marko Munih. "Robot control." In Robotics. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3776-3_7.

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Mihelj, Matjaž, Tadej Bajd, Aleš Ude, et al. "Robot Control." In Robotics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72911-4_10.

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Ehlers, Frank. "Robot-Robot Coordination." In Studies in Systems, Decision and Control. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78740-9_6.

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Siciliano, Bruno, and Luigi Villani. "Motion Control." In Robot Force Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4431-9_2.

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Siciliano, Bruno, and Luigi Villani. "Indirect Force Control." In Robot Force Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4431-9_3.

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Siciliano, Bruno, and Luigi Villani. "Direct Force Control." In Robot Force Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4431-9_4.

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Siciliano, Bruno, and Luigi Villani. "Introduction." In Robot Force Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4431-9_1.

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Siciliano, Bruno, and Luigi Villani. "Advanced Force and Position Control." In Robot Force Control. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4431-9_5.

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El Serafi, K., and W. Khalil. "Energy based adaptive robots controller." In Advanced Robot Control. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0039264.

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De Luca, A., L. Lanari, and G. Ulivi. "End-effector trajectory tracking in flexible arms: Comparison of approaches based on regulation theory." In Advanced Robot Control. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/bfb0039272.

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Conference papers on the topic "Robot control"

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Ryu, Ji-Chul, Kaustubh Pathak, and Sunil K. Agarwal. "Control of a Passive Mobility Assistive Robot." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14701.

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In this paper, a control methodology for a mobility assistive robot is presented. There are various types of robots that can help the disabled. Among these, mobile robots can help to guide a subject from one place to the other. Broadly, the mobile guidance robots can be classified into active and passive type. From a user's safety point of view, passive mobility assistive robots are more desirable than the active robots. In this paper, a two-wheeled differentially driven mobile robot with a castor wheel is considered as the assistive robot. The robot is made to have passive mobility characteri
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Zheng, Huanfei, Zhanrui Liao, and Yue Wang. "Human-Robot Trust Integrated Task Allocation and Symbolic Motion Planning for Heterogeneous Multi-Robot Systems." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9161.

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This paper presents a human-robot trust integrated task allocation and motion planning framework for multi-robot systems (MRS) in performing a set of parallel subtasks. Parallel subtask specifications are conjuncted with MRS to synthesize a task allocation automaton. Each transition of the task allocation automaton is associated with the total trust value of human in corresponding robots. A dynamic Bayesian network (DBN) based human-robot trust model is constructed considering individual robot performance, safety coefficient, human cognitive workload and overall evaluation of task allocation.
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Warren, Stephen, and Panagiotis Artemiadis. "Bio-Inspired Robot Control for Human-Robot Bi-Manual Manipulation." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3834.

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As robots are increasingly used in human-cluttered environments, the requirement of human-likeness in their movements becomes essential. Although robots perform a wide variety of demanding tasks around the world in factories, remote sites and dangerous environments, they are still lacking the ability to coordinate with humans in simple, every-day life bi-manual tasks, e.g. removing a jar lid. This paper focuses on the introduction of bio-inspired control schemes for robot arms that coordinate with human arms in bi-manual manipulation tasks. Using data captured from human subjects performing a
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Pollard, Beau, and Phanindra Tallapragada. "Fish Like Aquatic Robot Demonstrates Characteristics of a Linear System." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9764.

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In the recent past the design of many aquatic robots has been inspired by the motion of fish. In some recent work the authors described an underactuated planar swimming robot, that is propelled via the motion of an internal rotor. This robot is inspired by a simplified model of the fluid-body interaction mediated by singular distributions of vorticity. Such a model is a significant simplification of the fluid-structure interaction that can be understood using resource intensive numerical computations of the Navier Stokes equation that are unwieldy from a controls perspective. At the same time
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Mascaro, Stephen. "A Modular 2-DOF Serial Robot Manipulator for Education in Robot Control." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9878.

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This paper describes a modular 2-DOF serial robot manipulator and accompanying experiments that have been developed to introduce students to the fundamentals of robot control. The robot is designed to be safe and simple to use, and to have just enough complexity (in terms of nonlinear dynamics) that it can be used to showcase and compare the performance of a variety of textbook robot control techniques including computed torque feedforward control, inverse dynamics control, robust sliding-mode control, and adaptive control. These various motion control schemes can be easily implemented in join
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Shakouri, Payman, Gordana Collier, and Andrzej Ordys. "Teaching control using NI Starter Kit Robot." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334775.

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Elshazly, Osama, Ahmed Abo-Ismail, Hossam S. Abbas, and Zakarya Zyada. "Skid steering mobile robot modeling and control." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915116.

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Angatkina, Oyuna, Kimberly Gustafson, Aimy Wissa, and Andrew Alleyne. "Path Following for the Soft Origami Crawling Robot." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9175.

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Abstract Extensive growth of the soft robotics field has made possible the application of soft mobile robots for real world tasks such as search and rescue missions. Soft robots provide safer interactions with humans when compared to traditional rigid robots. Additionally, soft robots often contain more degrees of freedom than rigid ones, which can be beneficial for applications where increased mobility is needed. However, the limited number of studies for the autonomous navigation of soft robots currently restricts their application for missions such as search and rescue. This paper presents
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Marzban, Mostapha, and Aria Alasty. "Stability Control of an Amphibious Single Wheel Robot." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-44020.

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Single wheel robots are typically those kinds of robots which contain all the necessary mechanizations, namely the stabilization and driving mechanizations, within a shell-liked housing appearing analogous to a wheel. These robots have proved to be useful in various fields of industry due to their advantages of giving high instant acceleration and maintaining high cruise speeds for considerable amount of time in addition to being compact and small. It is a sharp-edged wheel actuated by a spinning flywheel for steering and a drive motor for propulsion. The spinning flywheel acts as a gyroscope
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Haghshenas-Jaryani, Mahdi, Hakki Erhan Sevil, and Liang Sun. "Navigation and Obstacle Avoidance of Snake-Robot Guided by a Co-Robot UAV Visual Servoing." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3156.

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Abstract This paper presents the concept of teaming up snake-robots, as unmanned ground vehicles (UGVs), and unmanned aerial vehicles (UAVs) for autonomous navigation and obstacle avoidance. Snake robots navigate in cluttered environments based on visual servoing of a co-robot UAV. It is assumed that snake-robots do not have any means to map the surrounding environment, detect obstacles, or self-localize, and these tasks are allocated to the UAV, which uses visual sensors to track the UGVs. The obtained images were used for the geo-localization and mapping the environment. Computer vision meth
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Reports on the topic "Robot control"

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Nasr, Chaiban. Neural Networks For Robot Control. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada387882.

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Williamson, Matthew M. Exploiting Natural Dynamics in Robot Control. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada457056.

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Gage, Douglas W. Command Control for Many-Robot Systems. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada422540.

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George Danko. Integrated Robot-Human Control in Mining Operations. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/988569.

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George Danko. INTEGRATED ROBOT-HUMAN CONTROL IN MINING OPERATIONS. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/882518.

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George Danko. INTEGRATED ROBOT-HUMAN CONTROL IN MINING OPERATIONS. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/882519.

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Falco, Joe, Jeremy Marvel, Rick Norcross, and Karl Van Wyk. Benchmarking Robot Force Control Capabilities: Experimental Results. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ir.8097.

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Blackburn, Michael R., and Hoa G. Nguyen. Autonomous Visual Control of a Mobile Robot. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada422533.

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Starr, G. Sensor-driven robot control and mobility: Final report. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5912296.

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Arkin, Ronald C., Frank Dellaert, and Joan Devassy. Envisioning: Mental Rotation-based Semi-reactive Robot Control. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada563085.

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