3D kinematic modeling of a self-reconfigurable wheeled mobile robot for enhancing multimode motion capability

底盘 运动学 机器人 移动机器人 反向动力学 导线 计算机科学 工程类 地形 流离失所(心理学) 滑脱 模拟 控制理论(社会学) 运动(物理) 运动控制 机器人运动学 控制工程 树遍历 多模光纤 执行机构 航向(导航) 运动规划 机器人控制 工作(物理) 机器人运动 加速度 逆动力学 机器人末端执行器 职位(财务) 控制重构 联动装置(软件) 砰砰机器人 关节式机器人 能见度 帧(网络) 机器人学
作者
Liang Ding,Huanan Qi,X D Li,Shu Li,Qiannan Cheng,Huaiguang Yang,Haibo Gao,Zdravko Terze,Zongquan Deng
出处
期刊:The International Journal of Robotics Research [SAGE Publishing]
标识
DOI:10.1177/02783649261458409
摘要

Self-reconfigurable wheeled mobile robots (SRWMRs) are capable of achieving multiple motion modes and subsequent switching between them through the coordinated sequential movements of multiple rocker–bogie joints, leading to overcoming dynamic obstacles posed by different terrains. However, real-time coordination of internal joints for executing reconfiguration actions while maintaining strong adhesion between the wheels and terrain remains challenging, particularly during action transitions. To enhance multimode motion capability by using a unified model, this work develops an inverse kinematics control (IKC) method, including 3D kinematic modeling of an SRWMR with actively and passively articulated suspensions, and additional motion-constraint inequalities for multi-joints in the wheel-suspension system. Specifically, the 3D model is built to achieve horizontal movements and vertical lifting of the robot chassis and its wheels. To further stabilize body posture and reduce wheel slippage during multimode motion, motion constraints are proposed to regulate the relative velocities among multiple joints and the displacement of the robot’s center of mass. According to the results of physical experiments with the HIT-MRII robot, Wheel Rolling, Wheel Crabbing, Wheel Lifting, Robot Chassis Lifting, Robot Creeping modes, and parts of their hybrid modes are achieved steadily and safely by the developed IKC method. The maximum motion performance of each mode is achieved by the proposed motion constraints. The enhanced mobility of the robot is demonstrated by comparing various traversal modes on soil terrain and presenting the corresponding control strategies.
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