A Kinematic Equivalence Trajectory Planning Method of Hybrid Active and Passive Cable-Driven Segmented Hyper-Redundant Manipulator*

A hybrid active and passive cable-driven segmented hyper-redundant manipulator is very flexible and dexterous to conduct tasks in highly cluttered environment. However, computation load of inverse kinematics and trajectory planning are also very large. In the paper, a kinematic equivalence method is proposed for the hybrid active and passive cable-driven segmented hyper-redundant manipulator to overcome the above challenge when the position and direction of end-effector are considered. The kinematic equivalence method is an effective way to solve the inverse kinematics and trajectory planning by simplifying and rearranging joints of each segment. The mechanism and joint layout of the manipulator are first analyzed. Then, the kinematics model is established by both traditional DH method and kinematic equivalence method. The calculated amount is decreased by reducing the number of rotation axis that needs to be processed in each segment. Furthermore, the desired trajectory is generated for the end effector of the arm to approach the target point. Finally, the proposed method is applied to a practical prototype, which has five segments and each segment consists of six subsegments. Simulation results verified the proposed method.

[1]  Gregory S. Chirikjian,et al.  An obstacle avoidance algorithm for hyper-redundant manipulators , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[2]  A. Barrientos,et al.  The Natural-CCD Algorithm, a Novel Method to Solve the Inverse Kinematics of Hyper-redundant and Soft Robots. , 2018, Soft robotics.

[3]  Hironori Mitake,et al.  Stable posture control for planar hyper-redundant arms using selective control points , 2017, Adv. Robotics.

[4]  Hong Liu,et al.  Motion planning of hyper-redundant manipulators based on ant colony optimization , 2016, 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[5]  Dinesh Manocha,et al.  Efficient Inverse Kinematics for Redundant Manipulators with Collision Avoidance in Dynamic Scenes* , 2018, 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[6]  Junghwan Lee,et al.  PROT: Productive regions oriented task space path planning for hyper-redundant manipulators , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Wenfu Xu,et al.  A modular amphibious snake-like robot: Design, modeling and simulation , 2015, 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[8]  Wenfu Xu,et al.  A Segmented Geometry Method for Kinematics and Configuration Planning of Spatial Hyper-Redundant Manipulators , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[9]  Gregory S. Chirikjian,et al.  A Geometric Approach to Hyper-Redundant Manipulator Obstacle Avoidance , 1992 .

[10]  Elias K. Xidias,et al.  Time-optimal trajectory planning for hyper-redundant manipulators in 3D workspaces , 2018 .

[11]  Gregory S. Chirikjian,et al.  A modal approach to hyper-redundant manipulator kinematics , 1994, IEEE Trans. Robotics Autom..

[12]  Gregory S. Chirikjian,et al.  A hyper-redundant manipulator , 1994, IEEE Robotics Autom. Mag..

[13]  Wenfu Xu,et al.  A modified modal method for solving the mission-oriented inverse kinematics of hyper-redundant space manipulators for on-orbit servicing , 2017 .

[14]  Yangmin Li,et al.  Kinematics, Dynamics, and Control of a Cable-Driven Hyper-Redundant Manipulator , 2018, IEEE/ASME Transactions on Mechatronics.

[15]  Sheng Huang,et al.  Control of a piecewise constant curvature continuum manipulator via policy search method , 2018, 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[16]  Lukáš Bláha,et al.  Path planning of hyper-redundant manipulator in developed view , 2018, 2018 19th International Carpathian Control Conference (ICCC).

[17]  Mahmoud Moghavvemi,et al.  Geometrical approach of planar hyper-redundant manipulators: Inverse kinematics, path planning and workspace , 2011, Simul. Model. Pract. Theory.