Generation of synchronized configuration space trajectories with workspace path constraints for an ensemble of robots

被引:16
作者
Kabir, Ariyan M. [1 ]
Thakar, Shantanu [1 ]
Malhan, Rishi K. [1 ]
Shembekar, Aniruddha, V [1 ]
Shah, Brual C. [1 ]
Gupta, Satyandra K. [1 ]
机构
[1] Univ Southern Calif, Viterbi Sch Engn, 2727 South Flower St, Los Angeles, CA 90007 USA
基金
美国国家科学基金会;
关键词
Path-constrained trajectory planning; manipulator path planning; manipulator trajectory planning; constrained-trajectory planning; motion planning; trajectory planning for redundant robots; motion planning for redundant robots; OPEN-CHAIN MANIPULATORS; MINIMUM-EFFORT MOTIONS; REDUNDANT MANIPULATORS; INVERSE KINEMATICS; OPTIMIZATION; OPERATIONS; ALGORITHM; TRACKING; SMOOTH;
D O I
10.1177/0278364920988087
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
We present an approach to generate path-constrained synchronous motion for the coupled ensemble of robots. In this article, we refer to serial-link manipulators and mobile bases as robots. We assume that the relative motion constraints among the objects in the environment are given. We represent the motion constraints as path constraints and pose the problem of path-constrained synchronous trajectory generation as a non-linear optimization problem. Our approach generates configuration space trajectories for the robots to manipulate the objects such that the given motion constraints among the objects are satisfied. We present a method that formulates the problem as a discrete parameter optimization problem and solves it using successive constraint refinement techniques. The method adaptively selects the parametric representation of the configuration variables for a given scenario. It also generates an approximate solution as the starting point for the successive constraint refinement stages to reduce the computation time. We discuss in detail why successive constraint refinement strategies are useful for solving this class of problems. We demonstrate the effectiveness of the proposed method on challenging test cases in simulation and physical environments with high-degree-of-freedom robotic systems.
引用
收藏
页码:651 / 678
页数:28
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