摘 要:六足机器人在控制灵活的同时, 也存在步态规划策略制定困难等问题, 尤其当其遇到不可逾越的障碍时, 这一问题更为严重. 针对此问题, 提出了一种障碍自识别步态规划策略. 此策略以正逆运动学解算为基础并建立 D - H 坐标系, 进而对每条腿进行齐次坐标变换, 并根据足末端力反馈来自动识别障碍做出旋转和越障步态规划. 通过 ADAMS 的仿真结果分析, 验证了该策略的正确性和普适性.
Abstract
The hexapod robot has multiple degrees of freedom in the control flexibility. However,it has gaitplanning strategy formulation difficulties. In this paper,we propose an obstacle self- identify planning strategy. Thestrategy is based on the forward and inverse kinematics solver,and it builds the D- H coordinate system,and makeseach leg in homogeneous transformation. The rotation and crossing obstacles gait planning are made by the foot endforce feedback to automatically identify the barriers. Through the analysis of ADAMS simulation results,the cor-rectness and universality of the obstacle self- identify rotation gait planning strategy is verified.