A parallel collision-avoidance algorithm for robot manipulators

被引:7
作者
Gill, MAC
Zomaya, AY
机构
[1] Adept Elect Solut, Perth, WA, Australia
[2] Univ Western Australia, Dept Elect & Elect Engn, Parallel Comp Res Lab, Nedlands, WA 6907, Australia
来源
IEEE CONCURRENCY | 1998年 / 6卷 / 01期
关键词
D O I
10.1109/4434.656781
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The authors present a straightforward method to handle collision avoidance among multiple robot manipulators. The method allows manipulators to move from a specified starting point to a goal without colliding with any other manipulators or objects in their 3D environment. Potential fields guide the end-effector through Cartesian space, and parallel genetic algorithms calculate suitable joint Variables for the manipulator trajectory.
引用
收藏
页码:68 / +
页数:12
相关论文
共 13 条
[1]  
[Anonymous], PARALLEL DISTRIBUTED
[2]   ROBOT MOTION PLANNING - A DISTRIBUTED REPRESENTATION APPROACH [J].
BARRAQUAND, J ;
LATOMBE, JC .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1991, 10 (06) :628-649
[3]  
BESSIERE P, 1993, P IEEE C INT ROB SYS
[4]  
Craig J J, 1986, Introduction to Robotics: Mechanics & Control, V3rd, DOI DOI 10.1016/0005-1098(87)90105-1
[5]  
Denavit J., 1955, J APPL MECH, V22, P215, DOI DOI 10.1115/1.4011045
[6]  
GILL MAC, 1995, CYBERNET SYST, V26, P165, DOI 10.1080/01969729508927495
[7]  
Goldberg D.E., 1989, GENETIC ALGORITHMS S
[8]  
GREFENSTETTE JJ, 1989, P 3 INT C GEN ALG, P12
[9]  
Holland JH., 1992, ADAPTATION NATURAL A, DOI DOI 10.7551/MITPRESS/1090.001.0001
[10]  
KHOOGAR AR, 1909, P 1991 IEEE SE, V1, P317