TY - JOUR
T1 - 基于碰撞检测的空间冗余机械臂避障路径规划
AU - Zhu, Zhanxia
AU - Jing, Sa
AU - Zhong, Jianfei
AU - Wang, Mingming
N1 - Publisher Copyright:
© 2020 Journal of Northwestern Polytechnical University.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - This paper focuses on the path planning of free-floating space redundant manipulator in an environment with obstacles. Firstly, based on the idea of spherical bounding volume and spatial superposition, the spatial occupying relationship between obstacles and manipulators is described in a simpler way. Then the relative position relationship between straight line segment and sphere is used to judge whether a collision between the manipulator and the obstacle. With the principle of forward kinematics, we use the joint parameterization method to transform the path planning problem into a parameter optimization problem with constraints. In this optimization problem, the objective function is a weighted optimization objective function, which includes two terms, the first term describes the base attitude disturbance and the second one is established according to the requirement of avoidance collision. The motion trajectories of the manipulator joints can be obtained by solving the optimization problem using the particle swarm optimization algorithm. We choose a 7-DOF space redundant manipulator for simulation study, and simulation results show the effectiveness of the proposed method, there is no collision between the manipulator and obstacles, and there is no disturbance on the base attitude. What's more, the trajectory of the joint is smooth, which can make the end-effector reach the desired pose with a high accuracy.
AB - This paper focuses on the path planning of free-floating space redundant manipulator in an environment with obstacles. Firstly, based on the idea of spherical bounding volume and spatial superposition, the spatial occupying relationship between obstacles and manipulators is described in a simpler way. Then the relative position relationship between straight line segment and sphere is used to judge whether a collision between the manipulator and the obstacle. With the principle of forward kinematics, we use the joint parameterization method to transform the path planning problem into a parameter optimization problem with constraints. In this optimization problem, the objective function is a weighted optimization objective function, which includes two terms, the first term describes the base attitude disturbance and the second one is established according to the requirement of avoidance collision. The motion trajectories of the manipulator joints can be obtained by solving the optimization problem using the particle swarm optimization algorithm. We choose a 7-DOF space redundant manipulator for simulation study, and simulation results show the effectiveness of the proposed method, there is no collision between the manipulator and obstacles, and there is no disturbance on the base attitude. What's more, the trajectory of the joint is smooth, which can make the end-effector reach the desired pose with a high accuracy.
KW - Collision detection algorithm
KW - Motion trajectory
KW - Obstacle avoidance path planning
KW - Particle swarm optimization
KW - Simulation
KW - Space redundant manipulator
KW - Spatial superposition
KW - Spherical bounding volume
UR - http://www.scopus.com/inward/record.url?scp=85081285338&partnerID=8YFLogxK
U2 - 10.1051/jnwpu/20203810183
DO - 10.1051/jnwpu/20203810183
M3 - 文章
AN - SCOPUS:85081285338
SN - 1000-2758
VL - 38
SP - 183
EP - 190
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 1
ER -