Relevant bibliographies by topics / Robot control algorithm

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Robot control algorithm'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Robot control algorithm"

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Suwarno, Iswanto, Wiwin A. Oktaviani, Yosi Apriani, Dhiya Uddin Rijalusalam, and Anish Pandey. "Potential Force Algorithm with Kinematic Control as Path Planning for Disinfection Robot." Journal of Robotics and Control (JRC) 3, no. 1 (2022): 107–14. http://dx.doi.org/10.18196/jrc.v3i1.11528.

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The disinfection robot is a virus-sterilizing robot that uses a nonholonomic robot model. Route planning algorithms are needed to allow disinfection robots to sterilize rooms in unknown areas and perform the task while navigating using a potential field algorithm. There is a problem applying the algorithm to nonholonomic robots: avoiding obstacles. The proposed route planning algorithm has been transformed into a potential force used to plan the path of disinfection robots in static and dynamic environments and environments with static obstacles. A potential field algorithm is used. There are
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Issa, Bayadir, and Abdulmuttalib Rashid. "Two Algorithms For Static Polygon Shape Formation Control." 3D SCEEER Conference sceeer, no. 3d (2020): 53–58. http://dx.doi.org/10.37917/ijeee.sceeer.3rd.8.

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This paper provides a two algorithms for designing robust formation control of multiple robots called Leader- Neighbor algorithm and Neighbor-Leader algorithm in unknown environment. The main function of the robot group is to use the RP lidar sensor attached to each robot to form a static geometric polygon. The algorithms consist of two phases implemented to investigate the formation of polygon shape. In the leading- neighbor algorithm, the first stage is the leader alignment and the adjacent alignment is the second stage. The first step uses the information gathered by the main RP Lidar senso
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Wyrwał, Daniel, and Tymoteusz Lindner. "Control algorithm for holonomic robot that balances on single spherical wheel." MATEC Web of Conferences 252 (2019): 02005. http://dx.doi.org/10.1051/matecconf/201925202005.

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This paper presents the control algorithm for the new type of robot that balances on a single spherical wheel. This type of robot is called Ballbot and unlike other statically stable robots, it has a high gravity centre and a very small footprint. The robot is dynamically stable, which means that if the controller stops working, the entire construction will fall over. Because of that, it needs a special control algorithm to keep the balance. The presented Ballbot is fitted with sensors such as gyroscope and accelerometer and controls motors with omni-directional wheels to move the robot in any
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Tang, Qing. "Localization and tracking control for mobile welding robot." Industrial Robot: An International Journal 41, no. 3 (2014): 259–65. http://dx.doi.org/10.1108/ir-07-2013-377.

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Purpose – The purpose of this paper is to design the localization and tracking algorithms for our mobile welding robot to carry out the large steel structure welding operations in industrial environment. Design/methodology/approach – Extended Kalman filter, considering the bicycle-modeled robot, is adopted in the localization algorithm. The position and orientation of our mobile welding robot is estimated using the feedback of the laser sensor and the robot motion commands history. A backstepping variable is involved in the tracking algorithm. By introducing a specifically selected Lyapunov fu
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Gao, Mingyu, Da Chen, Yuxiang Yang, and Zhiwei He. "A fixed-distance planning algorithm for 6-DOF manipulators." Industrial Robot: An International Journal 42, no. 6 (2015): 586–99. http://dx.doi.org/10.1108/ir-04-2015-0077.

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Purpose – The purpose of this paper is to propose a new trajectory planning algorithm for industrial robots, which can let the robots move through a desired spatial trajectory, avoid colliding with other objects and achieve accurate movements. Trajectory planning algorithms are the soul of motion control of industrial robots. A predefined space trajectory can let the robot move through the desired spatial coordinates, avoid colliding with other objects and achieve accurate movements. Design/methodology/approach – The mathematical expressions of the proposed algorithm are deduced. The speed con
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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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Szeląg, Piotr, Sebastian Dudzik, and Anna Podsiedlik. "Investigation on the Mobile Wheeled Robot in Terms of Energy Consumption, Travelling Time and Path Matching Accuracy." Energies 16, no. 3 (2023): 1210. http://dx.doi.org/10.3390/en16031210.

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The task of controlling a wheeled mobile robot is an important element of navigation algorithms. The control algorithm manages the robot’s movement in accordance with the path determined by the planner module, where the accuracy of mapping the given route is very important. Most often, mobile robots are battery-powered, which makes minimizing energy consumption and shortening travel time an important issue. For this reason, in this work, the mobile robot control algorithm was tested in terms of energy consumption, travel time and path mapping accuracy. During the research, a criterion was deve
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Liu, Peter Xiaoping, Max Q.-H. Meng, and Jason J. Gu. "Intelligent Scaling Control for Internet-Based Teleoperation." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 3 (2004): 275–83. http://dx.doi.org/10.20965/jaciii.2004.p0275.

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In this paper we present an intelligent scaling control algorithm, which is based on the hierarchical decomposition and dynamic assignment of tasks between the human operator and the on-board controller of the remote robot, for mobile robot teleoperation over the Internet. This control scheme relies on the real-time estimation of concurrent roundtrip delays in order to assign tasks between the user and the robot optimally. For this purpose, we employ a linear neural network for which most conventional learning algorithms are infeasible since their required computation is usually too intensive
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Guan, Wei, Lan Zhou, and YouShen Cao. "Joint Motion Control for Lower Limb Rehabilitation Based on Iterative Learning Control (ILC) Algorithm." Complexity 2021 (January 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/6651495.

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At present, the motion control algorithms of lower limb exoskeleton robots have errors in tracking the desired trajectory of human hip and knee joints, which leads to poor follow-up performance of the human-machine system. Therefore, an iterative learning control algorithm is proposed to track the desired trajectory of human hip and knee joints. In this paper, the experimental platform of lower limb exoskeleton rehabilitation robot is built, and the control system software and hardware design and robot prototype function test are carried out. On this basis, a series of experiments are carried
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Luo, Chengming, Shuai Zhang, Jing Zhong, et al. "Design and Evaluation of Field Segmentation, Path Generation and Sequential Point Tracking Algorithms for Agricultural Mobile Robots." Journal of the ASABE 67, no. 4 (2024): 983–93. http://dx.doi.org/10.13031/ja.15599.

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Highlights Field segmentation, path generation, and sequential point tracking algorithms were designed for agricultural mobile robots. An optimized field segmentation plan and operation path could be generated for the robot. The sequential point tracking algorithm could guide the robot to a series of target points. The algorithms were tested in simulation calculations and practical experiments. Abstract. As agricultural production becomes increasingly intelligent, operations by autonomous mobile robots become an inevitable trend. For some operations, such as in-field soil sampling, agricultura
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Dissertations / Theses on the topic "Robot control algorithm"

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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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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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Monteiro, Hugo Alexandre Pereira. "Neuromorphic systems for legged robot control." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/7736.

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Locomotion automation is a very challenging and complex problem to solve. Besides the obvious navigation problems, there are also problems regarding the environment in which navigation has to be performed. Terrains with obstacles such as rocks, steps or high inclinations, among others, pose serious difficulties to normal wheeled vehicles. The flexibility of legged locomotion is ideal for these types of terrains but this alternate form of locomotion brings with it its own challenges to be solved, caused by the high number of degrees of freedom inherent to it. This problem is usually computation
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Farsi, M. "Simplified self-tuning algorithm and model reduction for robot control." Thesis, University of Newcastle Upon Tyne, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373053.

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Mudgal, Apurva. "Worst-case robot navigation in deterministic environments." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33924.

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We design and analyze algorithms for the following two robot navigation problems: 1. TARGET SEARCH. Given a robot located at a point s in the plane, how will a robot navigate to a goal t in the presence of unknown obstacles ? 2. LOCALIZATION. A robot is "lost" in an environment with a map of its surroundings. How will it find its true location by traveling the minimum distance ? Since efficient algorithms for these two problems will make a robot completely autonomous, they have held the interest of both robotics and computer science communities. Previous work has focussed mainly on desig
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Yan, Yu Pei. "A path planning algorithm for the mobile robot in the indoor and dynamic environment based on the optimized RRT algorithm." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3951594.

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Wang, Yi. "MRI-Compatible Pneumatic Actuation Control Algorithm Evaluation and Test System Development." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/1041.

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"This thesis presents the development of a magnetic resonance imaging (MRI) compatible pneumatic actuation test system regulated by piezoelectric valve for image guided robotic intervention. After comparing pneumatic, hydraulic and piezoelectric MRI-compatible actuation technologies, I present a piezoelectric valve regulated pneumatic actuation system consisted of PC, custom servo board driver, piezoelectric valves, sensors and pneumatic cylinder. This system was proposed to investigate the control schemes of a modular actuator, which provides fully MRI-compatible actuation; the initial goal i
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Albin, Aaron Thomas. "Musical swarm robot simulation strategies." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42862.

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Swarm robotics for music is a relatively new way to explore algorithmic composition as well as new modes of human robot interaction. This work outlines a strategy for making music with a robotic swarm constrained by acoustic sound, rhythmic music using sequencers, motion causing changes in the music, and finally human and swarm interaction. Two novel simulation programs are created in this thesis: the first is a multi-agent simulation designed to explore suitable parameters for motion to music mappings as well as parameters for real time interaction. The second is a boid-based robotic swarm si
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Rigaud, Adrien. "Synthesis Algorithm of Control Strategy for Multi-Robot Systems with Collaborative Behavior under LTL Specifications." Thesis, KTH, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138439.

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In this thesis, we present a formal control strategy synthesis algorithm for multirobot systems subject to both individual specications and collaboration requirements. We work in an environment that has been abstracted into nonoverlapping regions. The specications are expressed in Linear Temporal Logic, constructed over some predicates on the actions performed by the robots. Each collaboration requirement is given as a set of complementary actions which are distributed on the robots and must always be performed at the same time. In order to avoid computing a synchronized product of the robot b
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Splendori, Roberta. "Development of control algorithm for adjusting the needle insertion path during robot assisted breast biopsy procedure." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The MURAB project, created and developed by the RAM group at the university of Twente in the Netherlands, aims to improve the precision and the efficiency of the breast biopsy procedure, reducing as much as possible the intervention time and the discomfort for the patient. In this framework, a lot of studies have been conducted concerning efficient control methods capable of positioning the end effector of a KUKA LBR Med robotic arm at the location where the hypothetical lesion has been individualized. Starting from these methods, the main goal of this Thesis is to develop a control algorithm
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Books on the topic "Robot control algorithm"

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Clark, Christopher M. Neural network algorithms for robot control. National Library of Canada, 1998.

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Jain, Abhinandan. Robot and Multibody Dynamics: Analysis and Algorithms. Springer Science+Business Media, LLC, 2011.

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Palm, William J. A control-configured end effector for a visual servoing algorithm. Dept. of Mechanical Engineering, the University of Rhode Island, 1985.

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Palm, William J. A control-configured end effector for a visual servoing algorithm. Dept. of Mechanical Engineering, the University of Rhode Island, 1985.

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Bullo, Francesco. Distributed control of robotic networks: A mathematical approach to motion coordination algorithms. Princeton University Press, 2009.

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P, Giesy Daniel, Langley Research Center, and United States. National Aeronautics and Space Administration., eds. Algorithms for efficient computation of transfer functions for large order flexible systems. National Aeronautics and Space Administration, Langley Research Center, 1998.

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United States. National Aeronautics and Space Administration., ed. A comparison of force control algorithms for robots in contact with flexible environments. Center for Intelligent Robotic Systems for Space Exploration, Rensselaer Polytechnic Institute, 1992.

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Dirik, Mahmut, Oscar Castillo, and Fatih Kocamaz. Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69247-6.

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A, Fijany, and Bejczy A, eds. Parallel computation systems for robotics: Algorithms and architectures. World Scientific, 1992.

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Song, Dezhen. Sharing a Vision: Systems and Algorithms for Collaboratively-Teleoperated Robotic Cameras. Springer Berlin Heidelberg, 2009.

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Book chapters on the topic "Robot control algorithm"

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Lee, Seungyeol. "Control Algorithm for Human–Robot Cooperation." In Glazed Panel Construction with Human-Robot Cooperation. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1418-6_2.

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Cao, Xuyang, and Changlin Pu. "Algorithm Design of a Variable Height Wheel-Legged Robot with Fuzzy Theory and PID Fusion Control." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_3.

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AbstractA balancing control algorithm for a wheel-legged robot is designed for current logistics and distribution mobile robots. Since the wheel-legged robot is a nonlinear underactuated system, it is crucial to realize the balanced control and robustness of the wheel-legged robot in the absence of an accurate dynamics model. In this paper, an optimal control scheme for the wheel-legged robot based on the fusion control of variable-height adaptive fuzzy PID and conventional PID is designed. The balance of the wheel-legged robot is controlled by adaptive fuzzy PID control, the lifting and attit
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Zhang, Yunong, and Zhijun Zhang. "Numerical Algorithm 94LVI." In Repetitive Motion Planning and Control of Redundant Robot Manipulators. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37518-7_6.

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Zhang, Yunong, and Zhijun Zhang. "Numerical Algorithm E47." In Repetitive Motion Planning and Control of Redundant Robot Manipulators. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37518-7_7.

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Shiba, Misato, and Hiroyoshi Miwa. "Path Control Algorithm for Weeding AI Robot." In Advances in Internet, Data & Web Technologies. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95903-6_40.

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Karpińska, Joanna, and Krzysztof Tchoń. "Optimal Extended Jacobian Inverse Kinematics Algorithm with Application to Attitude Control of Robotic Manipulators." In Robot Motion and Control 2011. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2343-9_20.

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Stoten, David Paul. "An Adaptive Control Algorithm for Robot Machine and Process Control." In Robotics and Factories of the Future ’87. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73890-6_42.

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Recker, Tobias, Bin Zhou, Marvin Stüde, Mark Wielitzka, Tobias Ortmaier, and Annika Raatz. "LiDAR-Based Localization for Formation Control of Multi-Robot Systems." In Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-74032-0_30.

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AbstractControlling the formation of several mobile robots allows for the connection of these robots to a larger virtual unit. This enables the group of mobile robots to carry out tasks that a single robot could not perform. In order to control all robots like a unit, a formation controller is required, the accuracy of which determines the performance of the group. As shown in various publications and our previous work, the accuracy and control performance of this controller depends heavily on the quality of the localization of the individual robots in the formation, which itself depends on th
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Hmidi, Mohamed Elhedi, Ines Ben Salem, and Lilia El Amraoui. "Canonical Particle Swarm Optimization Algorithm Based a Hybrid Vehicle." In New Developments and Advances in Robot Control. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2212-9_10.

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Wojtyra, Marek, and Łukasz Woliński. "On-line Velocity Scaling Algorithm for Task Space Trajectories." In ROMANSY 24 - Robot Design, Dynamics and Control. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06409-8_18.

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Conference papers on the topic "Robot control algorithm"

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Wang, Hyunkai, and Min Lee. "An intelligent garbage collection robot for highway cleaning." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3039414.

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Ding, Jiali, Junjie Lu, Jun Zhang, Chang Li, Zixin Huang, and Lejun Wang. "Research on gait control of humanoid robot based on DDPG algorithm." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3039486.

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Zhang, Zihao, and Guoliang Chen. "Robot-assisted instrument delivery method based on composite vision guidance." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3039373.

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Romasevych, Yuriy, and Viatcheslav Loveikin. "Robot Manipulator Optimal Control via Ring-Rot-PSO Algorithm." In 2024 IEEE 5th KhPI Week on Advanced Technology (KhPIWeek). IEEE, 2024. https://doi.org/10.1109/khpiweek61434.2024.10878014.

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Wang, Shih-Liang. "On Force and Motion Control of Serial-Parallel Robots." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/mech-1151.

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Abstract A serial-parallel robot has the high stiffness and accuracy of a parallel robot, and a large workspace and compact structure of a serial robot. In this paper, the resolved force control algorithm is derived for serial-parallel robots, including a 3-articulated-arm platform robot, a linkage robot, and two cooperating serial robots. A S matrix is derived to relate joint torque to the external load. Using the principle of virtual work, S is used in resolved rate control algorithm to relate the tool velocity to joint rate. S can be easily expanded to the control of redundant actuation, an
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Yaltirik, Hu¨seyin, A. Kerim Kar, and Bu¨lent Ekici. "Comparison of Contact Force Control Strategies on Different Robot Arm Types." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25404.

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Nowadays robots are used in various areas. There are extremely important applications where the robot arm tip comes in contact with the environment or an object. During controlling an object, static or in motion, the object or the robot arm should not be damaged. The interaction forces are important in such conditions. Whether the task succeeds or fails depends on how accurate the interaction forces are controlled. The interaction forces are changed depending on the motion of the robot arm. Therefore, to control interaction forces a force control algorithm must be developed. In this research a
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Price, Jack, Damien Laird, and Ioannis Raptis. "Spider Bots: A Low Cost Platform for Testing and Validating Cooperative Control Algorithms." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6041.

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A primary factor limiting the development, testing, and validation of decentralized algorithms for large-scale multi-robot teams is the high cost of the available systems. When a successful test necessitates that an algorithm functions on dozens or even hundreds of robots simultaneously, a low price tag on each robot is crucial. This paper presents Spider-Bots, a low cost platform for testing and validating control algorithms for multi-robot swarms. The platform is comprised of centimeter-scale mobile robots that can communicate wirelessly and interact with their environment, along with easy t
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Zharkov, Anatoliy, and Roman Maslii. "APPLICATION OF VISUAL INERTIAL SLAM ALGORITHM FOR AUTONOMOUS ROBOT NAVIGATION." In 17th IC Measurement and Control in Complex Systems. VNTU, 2024. https://doi.org/10.31649/mccs2024.2-13.

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This work investigates the application of the Visual-Inertial SLAM (Simultaneous Localization and Mapping) algorithm for the navigation of an autonomous robot. With the development of autonomous navigation technologies, there is a need for effective methods that allow robots to navigate in complex environments. Visual-Inertial SLAM combines data from cameras and inertial measurement devices, which ensures high accuracy of localization and map construction. Several SLAM approaches based on particle filter, extended Kalman filter, and neural networks have been investigated over the decades. Thes
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Lew, Jae Y., Yung-Tsan Jou, and Hajrudin Pasic. "Human-Robot Interactive Control Sharing Same Workspace." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2406.

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Abstract The paper presents a basic motion planning / feedback control algorithm for a robot working with a human in the same workspace. With the proposed control scheme, robots can be safe and easy to use when unexpected events occur. The algorithm is based on: (1) inertia reduction (2) passivity and (3) parametric path planning. A preliminary simulation study is performed to show its effectiveness with a two link manipulator.
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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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Reports on the topic "Robot control algorithm"

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Eslami, Keyvan, and Thomas M. Phelan. The Art of Temporal Approximation: An Investigation into Numerical Solutions to Discrete and Continuous-Time Problems in Economics. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202310.

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A recent literature within quantitative macroeconomics has advocated the use of continuous-time methods for dynamic programming problems. In this paper we explore the relative merits of continuous-time and discrete-time methods within the context of stationary and nonstationary income fluctuation problems. For stationary problems in two dimensions, the continuous-time approach is both more stable and typically faster than the discrete-time approach for any given level of accuracy. In contrast, for convex lifecycle problems (in which age or time enters explicitly), simply iterating backwards fr
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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and
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