訾斌,王炳尧,刘浩,钱森.可重构柔索并联机器人协同避障方法研究[J].仪器仪表学报,2017,38(3):593-601
可重构柔索并联机器人协同避障方法研究
Study on the collaborative obstacle avoidance method for reconfigurable cable driven parallel robot
  
DOI:
中文关键词:  可重构柔索并联机器人  协同避障  力封闭工作空间  多指抓握  最优索力分布
英文关键词:reconfigurable cable driven parallel robot  collaborative obstacle avoidance  force closure workspace  multi finger grasp  optimal distribution of cable force
基金项目:国家自然科学基金(51575150)项目资助
作者单位
訾斌 合肥工业大学机械工程学院合肥230009 
王炳尧 合肥工业大学机械工程学院合肥230009 
刘浩 合肥工业大学机械工程学院合肥230009 
钱森 合肥工业大学机械工程学院合肥230009 
AuthorInstitution
Zi Bin School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China 
Wang Bingyao School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China 
Liu Hao School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China 
Qian Sen School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China 
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中文摘要:
      针对可重构索驱动机器人自身结构与环境障碍物间高碰撞风险问题,设计了一种基于临界支撑线及多指抓握的可重构柔索机器人协同避障方法。通过简化环境障碍物与机器人结构得到一类可重构柔索机器人在复杂环境下的一般模型,在此模型基础上利用其结构的拓扑约束及障碍物间的临界支撑线求取机器人的无碰撞运动区域;通过凸包算法及凸包映射算法求取不同构型及障碍物分布下可重构柔索并联机器人的力封闭工作空间,并分析不同构型及障碍物分布对机器人无碰撞力封闭工作空间的影响;随后,通过优化算法求取指定运动轨迹上最优索分布;最后在重构索驱动机器人实验平台对所得优化结果进行验证。实验结果显示,所设计的可重构柔索机器人协同避障方法能有效避免重构索驱动机器人运动过程中的碰撞。
英文摘要:
      In order to deal with the collision between the components of the reconfigurable cable-driven parallel robot(RCDPR) and the obstacles in operating environment, a novel collaborative obstacle avoidance method is presented based on critical support lines and multi-finger grasp. Firstly, the general model of RCDPR in complex environment is derived by simplifying the robot structures and obstacles. Based on the model, the collision-free area of the RCDPR is estimated using the topological constraint of robot structure and the critical support lines between obstacles. The collision-free force closure workspace of different types of RCDPRs and obstacle distribution is obtained with convexhull method and convexhull mapping method, respectively. The impact of obstacle distribution and robotic type is analyzed. Then, in terms of a specific trajectory for the end-effector of the RCDPR, the optimal distribution of cables is derived with optimization algorithm. Finally, the verification is conduction the RCDPR prototype. The experimental results indicate that the presented method can effectively prevent the collision during the RCDPR movement.
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