Inverted Modelling: An Effective Way to Support Motion Planning of Legged Mobile Robots

doi:10.1186/s10033-023-00851-3

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Chinese Journal of Mechanical Engineering ›› 2023, Vol. 36 ›› Issue (1) : 19-19. DOI: 10.1186/s10033-023-00851-3

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Mechanism and Robotics

Inverted Modelling: An Effective Way to Support Motion Planning of Legged Mobile Robots

Chenyao Zhao, Weizhong Guo

作者信息 +

Inverted Modelling: An Effective Way to Support Motion Planning of Legged Mobile Robots

Chenyao Zhao, Weizhong Guo

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文章历史 +

摘要

This paper presents an effective way to support motion planning of legged mobile robots—Inverted Modelling, based on the equivalent metamorphic mechanism concept. The difference from the previous research is that we herein invert the equivalent parallel mechanism. Assuming the leg mechanisms are hybrid links, the body of robot being considered as fixed platform, and ground as moving platform. The motion performance is transformed and measured in the body frame. Terrain and joint limits are used as input parameters to the model, resulting in the representation which is independent of terrains and particular poses in Inverted Modelling. Hence, it can universally be applied to any kind of legged robots as global motion performance framework. Several performance measurements using Inverted Modelling are presented and used in motion performance evaluation. According to the requirements of actual work like motion continuity and stability, motion planning of legged robot can be achieved using different measurements on different terrains. Two cases studies present the simulations of quadruped and hexapod robots walking on rugged roads. The results verify the correctness and effectiveness of the proposed method.

Abstract

导出引用

Chenyao Zhao, Weizhong Guo. Inverted Modelling: An Effective Way to Support Motion Planning of Legged Mobile Robots[J]. Chinese Journal of Mechanical Engineering, 2023, 36(1): 19-19 https://doi.org/10.1186/s10033-023-00851-3

Chenyao Zhao, Weizhong Guo. Inverted Modelling: An Effective Way to Support Motion Planning of Legged Mobile Robots[J]. Chinese Journal of Mechanical Engineering, 2023, 36(1): 19-19 https://doi.org/10.1186/s10033-023-00851-3

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