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Titlebook: Climbing and Walking Robots; Proceedings of the 8 M. O. Tokhi,G. S. Virk,M. A. Hossain Conference proceedings 2006 Springer-Verlag Berlin H

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31#
發(fā)表于 2025-3-27 00:00:52 | 只看該作者
32#
發(fā)表于 2025-3-27 04:23:09 | 只看該作者
https://doi.org/10.1007/978-3-031-18100-9 first problem is the interference of the umbilical cord for the robot with its mobility and dynamics; the second problem is the slow traveling speed of climbing robots, affecting the overall working efficiency of the system; the third one is unforeseen variations of surface curvature of objects on
33#
發(fā)表于 2025-3-27 07:56:32 | 只看該作者
34#
發(fā)表于 2025-3-27 12:55:02 | 只看該作者
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35#
發(fā)表于 2025-3-27 15:54:28 | 只看該作者
Recent Developments in Implantable and Surface Based Dropped Foot Functional Electrical Stimulatorshere remain limitations with the current clinically used technology and the paper describes some recent developments addressing some of these problems. The paper describes initial work on an alternative surface-based solution and recent developments of an implantable two channel stimulator.
36#
發(fā)表于 2025-3-27 20:34:03 | 只看該作者
37#
發(fā)表于 2025-3-28 00:22:19 | 只看該作者
Risk Analysis and Scientific MethodProper navigation of walking machines in unstructured terrain requires a path planning algorithm that reflects the flexibility of the robots movements. This paper discusses the problem and presents a real time capable path planning algorithm for walking machines that also makes use of their climbing abilities.
38#
發(fā)表于 2025-3-28 04:57:05 | 只看該作者
Navigation of Walking Robots: Path PlanningProper navigation of walking machines in unstructured terrain requires a path planning algorithm that reflects the flexibility of the robots movements. This paper discusses the problem and presents a real time capable path planning algorithm for walking machines that also makes use of their climbing abilities.
39#
發(fā)表于 2025-3-28 07:12:56 | 只看該作者
40#
發(fā)表于 2025-3-28 13:17:36 | 只看該作者
https://doi.org/10.1007/978-94-009-5241-6ved by a Genetic Algorithm. While we can get each maximum climb-able step height corresponding to the number of links, we can make clear the relation that the height of the climb-able step increases as the number of crawler links increases.
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