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Titlebook: Climbing and Walking Robots; Proceedings of the 7 Manuel A. Armada,Pablo González Santos Conference proceedings 20051st edition Springer-Ve

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楼主: 厌倦了我
发表于 2025-3-23 12:25:01 | 显示全部楼层
Local Positive Velocity Feedback (LPVF): Generating Compliant Motions in a Multi-Joint Limbor using local positive velocity feedback (LPVF) on the single joint level. The underlying control principle of LPVF is derived. As a final benchmark we simulate a planar manipulator, which is equipped with compliant joints each controlled by LPVF. This setup is able to turn a crank at different velocities.
发表于 2025-3-23 13:58:57 | 显示全部楼层
Bifurcating Recursive Processing Elements in Neural Architectures for Applications in Multi-Dimensiolies of bifurcating recursive nodes that exhibit chaotic dynamics. An array of multiple time-dependent inputs, dealing with logical and analog variables, is sensed and drives the control system, which is implemented through the coordinated operation of a network of oscillators.
发表于 2025-3-23 18:51:18 | 显示全部楼层
Mobile Mini Robots for MAShould be explored. The behavior of a single agent depends on the accuracy and dynamics of the vision system as well as the robot itself. In this paper the development of a vision system for a vision-based Hardware-MAS and of two mini robots “Roby-Go” and “Roby-Run” are described.
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The State of Program Design and Development,ted approach is that it is easy scalable because control is based on general rule that determines behaviour of all robots and control is entirely distributed. Presented solutions are illustrated by simulation results.
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Artificial Potential Based Control for a Large Scale Formation of Mobile Robotsted approach is that it is easy scalable because control is based on general rule that determines behaviour of all robots and control is entirely distributed. Presented solutions are illustrated by simulation results.
发表于 2025-3-24 20:57:03 | 显示全部楼层
Two Neural Approaches for Solving Reaching Tasks with Redundant Robotsemented on a visuo-motor robotic platform for reaching and grasping applications. The obtained results allow to compare the robustness and accuracy capabilities of both neural models for reaching and tracking objects as well as to give a solution when redundant robots are considered.
发表于 2025-3-25 00:33:04 | 显示全部楼层
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