{"title":"Implementing the analytical reachable body workspace for calculating the obstacle-crossing ability of a hexapod robot","authors":"Chenkun Qi, Huayang Li, F. Gao, Xianbao Chen, Yue Zhao, Zhijun Chen","doi":"10.1115/1.4062353","DOIUrl":null,"url":null,"abstract":"\n Calculating the maximum obstacle-crossing ability accurately in the mechanism design stage can better ensure that the manufactured robot prototype meets the predefined indices. The obstacle-crossing task of the legged robot is achieved by the collaborative movement of the leg and body. The reachable workspace constrains the spatial movement boundary of the foot tip and the robot body. The reachable workspace of the foot tip is invariant, while the shape and volume of the reachable body workspace vary with the supporting footholds. The body movement is modeled as a six-bar mechanism, and the reachable body workspace means the reachable workspace of the specified target point located on the moving platform of the six-bar mechanism. Unlike the previous work, the analytical method of calculating the reachable body workspace for the target point outside the moving platform named the external target point is studied. The influence of supporting footholds and shank-ground interference on the reachable body workspace is considered. The selection of supporting footholds, the collaborative motion sequences of the robot body and legs, and the determination of the maximum ability for crossing a ditch and climbing a step are demonstrated for implementing the analytical reachable body workspace. Finally, simulations corroborate the correctness of the theoretical analysis.","PeriodicalId":49155,"journal":{"name":"Journal of Mechanisms and Robotics-Transactions of the Asme","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mechanisms and Robotics-Transactions of the Asme","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1115/1.4062353","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Calculating the maximum obstacle-crossing ability accurately in the mechanism design stage can better ensure that the manufactured robot prototype meets the predefined indices. The obstacle-crossing task of the legged robot is achieved by the collaborative movement of the leg and body. The reachable workspace constrains the spatial movement boundary of the foot tip and the robot body. The reachable workspace of the foot tip is invariant, while the shape and volume of the reachable body workspace vary with the supporting footholds. The body movement is modeled as a six-bar mechanism, and the reachable body workspace means the reachable workspace of the specified target point located on the moving platform of the six-bar mechanism. Unlike the previous work, the analytical method of calculating the reachable body workspace for the target point outside the moving platform named the external target point is studied. The influence of supporting footholds and shank-ground interference on the reachable body workspace is considered. The selection of supporting footholds, the collaborative motion sequences of the robot body and legs, and the determination of the maximum ability for crossing a ditch and climbing a step are demonstrated for implementing the analytical reachable body workspace. Finally, simulations corroborate the correctness of the theoretical analysis.
期刊介绍:
Fundamental theory, algorithms, design, manufacture, and experimental validation for mechanisms and robots; Theoretical and applied kinematics; Mechanism synthesis and design; Analysis and design of robot manipulators, hands and legs, soft robotics, compliant mechanisms, origami and folded robots, printed robots, and haptic devices; Novel fabrication; Actuation and control techniques for mechanisms and robotics; Bio-inspired approaches to mechanism and robot design; Mechanics and design of micro- and nano-scale devices.