多关节履带式机器人自适应不平整地形行驶设计

Dooyeol Koh, K. Hyun, S. Kim
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引用次数: 1

摘要

许多城市搜救任务都发展了各种适应不均匀环境的驱动机制。履带式机构被广泛应用于保持机器人姿态的稳定性,并在不平坦的地形上产生较大的牵引力。然而,由于旋转时的摩擦力,它具有能量效率低的缺点。此外,当身体被高投影捕获时,单履带机构可能会出现问题,因此履带无法与地面接触。提出了一种可变换履带机构来解决这些问题。该机构被设计成由轨道环绕的几个关节,用于在机器人靠近障碍物时产生攻角。由于楼梯是USAR任务中最困难的障碍物之一,因此对该机器人的爬楼梯能力进行了分析。爬楼梯过程分为四个独立的静态分析阶段。根据静力分析的几何限制对设计参数进行优化。根据优化后的设计参数生成了该机构,并在人工搭建的不均匀环境和实际楼梯中进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of multi-joint tracked robot for adaptive uneven terrain driving
Various driving mechanisms to adapt to uneven environment have been developed for many urban search and rescue (USAR) missions. A tracked mechanism has been widely used to maintain the stability of robot's pose and to produce large traction force on uneven terrain in this research area. However, it has a drawback of low energy efficiency due to friction force when rotating. Moreover, single tracked mechanism can be in trouble when the body gets caught with high projections, so the track doesn't contact on the ground. A transformable tracked mechanism is proposed to solve these problems. The mechanism is designed with several articulations surrounded by tracks, used to generate an attack angle when the robot comes near obstacles. The stair climbing ability of proposed robot was analyzed since stairs are one of the most difficult obstacles in USAR mission. Stair climbing process is divided into four separate static analysis phases. Design parameters are optimized according to geometric limitations from the static analysis. The proposed mechanism was produced from optimized design parameters, and demonstrated in artificially constructed uneven environment and the actual stairway.
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