Gait optimization of step climbing for a hexapod robot. Issue 1 (8th September 2021)

• Record Type: Journal Article
• Authors: Song, Xingguo; Zhang, Xiaolong; Meng, Xiangyin; Chen, Chunjun; Huang, Dashan
• Is Part Of: Journal of field robotics. Volume 39:Issue 1(2022)
• Page Start: 55
• Page End: 68
• Publication Date: 2021-09-08
• Subjects: claw‐shape legs -- climbing gait -- gait optimization -- legged robots -- step climbing; Robots, Industrial -- Periodicals; Automatic control -- Periodicals; 629.892
• DOI: 10.1002/rob.22037
• Languages: English
• ISSNs: 1556-4959

Abstract

Abstract: RHex‐style hexapod robot is a type of legged robot which can perform multiple moving gaits according to different applications, due to its simple structure and strong mobility. However, traversing high obstacles has always been a big challenge for legged robots. In this paper, gait optimization of a hexapod robot is proposed for climbing steps at different heights, which even enables the robot to climb the step 3.9 times of the leg length. First, a previous step‐climbing gait is optimized by adjusting body inclination when placing front legs on top of the step, which enables RHex with different sizes to perform the rising stage of the gait. Second, to improve the climbing heights, a novel quasi‐static climbing gait is proposed by using the reversed claw‐shape legs to reach the higher step. The nondeformable legs are used to raise the center of mass (COM) of the body by lifting the front and rear legs alternately so that the front legs can reach the top of the step, then the front and middle legs are lifted alternately to maneuver COM up onto the step. The simulations and dynamic analysis of climbing steps are utilized to verify the feasibility of the improved gait. Finally, the step‐climbing experiments at different heights are performed with the optimized gaits to compare with the existing gaits. The results of simulations and experiments show the superiority of the proposed gaits due to climbing higher steps.