Zhang Shuailong, Li Fenggang, Fu Rongxin, Li Hang, Zou Suli, Ma Nan, Qu Shengyuan, Li Jian
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing 100081, China.
Cyborg Bionic Syst. 2023;4:0003. doi: 10.34133/cbsystems.0003. Epub 2023 Feb 24.
Continuum robots with their inherent compliance provide the potential for crossing narrow unstructured workspace and safely grasping various objects. However, the display gripper increases the size of the robots, and therefore, it tends to get stuck in constrained environments. This paper proposes a versatile continuum grasping robot (CGR) with a concealable gripper. The CGR can capture large objects with respect to the robot's scale using the continuum manipulator and can grasp various objects using the end concealable gripper especially in narrow and unstructured workspaces. To perform the cooperative operation of the concealable gripper and the continuum manipulator, a global kinematic model based on screw theory and a motion planning approach referred to as "multi-node synergy method" for the CGR are presented. The simulation and experimental results show that objects of different shapes and sizes can be captured by the same CGR even in complex and narrow environments. Finally, in the future, the CGR is expected to serve for satellite capture in harsh space environments such as high vacuum, strong radiation, and extreme temperatures.
具有固有柔顺性的连续体机器人具有穿越狭窄非结构化工作空间并安全抓取各种物体的潜力。然而,展示夹爪增加了机器人的尺寸,因此,它在受限环境中容易卡住。本文提出了一种具有可隐藏夹爪的通用连续体抓取机器人(CGR)。CGR可以使用连续体机械手抓取相对于机器人尺寸较大的物体,并且可以使用末端可隐藏夹爪抓取各种物体,特别是在狭窄和非结构化的工作空间中。为了实现可隐藏夹爪和连续体机械手的协同操作,提出了一种基于螺旋理论的全局运动学模型和一种针对CGR的称为“多节点协同方法”的运动规划方法。仿真和实验结果表明,即使在复杂和狭窄的环境中,同一CGR也能抓取不同形状和尺寸的物体。最后,在未来,CGR有望用于在高真空、强辐射和极端温度等恶劣空间环境中的卫星捕获。