The kinematics of motion planning for multilegged vehicles over uneven terrain

W.-J. Lee, D. Orin
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引用次数: 38

Abstract

A motion planning algorithm for uneven-terrain locomotion for a multilegged vehicle is described. The algorithm has been developed based on the vehicle/terrain kinematic relationships. The vehicle model is chosen from a hexapod vehicle, named the Adaptive Suspension Vehicle (ASV), which has been constructed at Ohio State University (OSU) and is currently being tested. A simple body-regulation plan has been designed based on the local slope of the terrain and should increase the safety and adaptability of the vehicle. The local terrain is estimated by using the support points of the supporting legs and proximity information from the transfer legs. The adjustment of the position and dimensions of the constrained working volume for each leg, which increases the vehicle stability over sloped terrain, is discussed. The algorithm has been implemented in simulation on a PDP-11/70 minicomputer, from which test results are given. >
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多足车辆在不平坦地形上的运动规划运动学
介绍了一种多足车辆非平坦地形运动规划算法。该算法是基于车辆/地形的运动学关系而开发的。车辆模型选择自适应悬架车辆(ASV)的六足车辆,该车辆已在俄亥俄州立大学(OSU)建造,目前正在进行测试。根据地形的局部坡度设计了简单的车身调节方案,以增加车辆的安全性和适应性。利用支撑支腿的支撑点和传递支腿的接近信息估计局部地形。讨论了调整各支腿的约束工作体积的位置和尺寸,以提高车辆在倾斜地形上的稳定性。该算法在PDP-11/70小型计算机上进行了仿真,并给出了测试结果。>
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