Motion coordination for industrial robotic systems with redundant degrees of freedom

Robotics and Computer-Integrated Manufacturing

Volumn 25, Issue 2, 2009, Pages 417-431

  Vosniakos, George Christopher ^a   Kannas, Zenon ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Genetic algorithms; Redundancy; Robot motion planning

Indexed keywords

FUNCTION EVALUATION; GENETIC ALGORITHMS; MATLAB; MECHANICS; MOTION PLANNING; NAVIGATION; QUALITY ASSURANCE; REDUNDANCY; ROBOTS; TIME SERIES; TOOLS;

ACCELERATION LIMITS; COMPUTING POWER; DEGREES OF FREEDOMS; END-EFFECTOR; FITNESS FUNCTIONS; INDUSTRIAL ROBOTIC SYSTEMS; KINEMATICS AND DYNAMICS; MOTION COORDINATIONS; OPTIMISATION; OPTIMISATION CRITERIONS; POSITIONING TABLES; ROBOT MOTION PLANNING; SINGULAR POINTS; STRAIGHT LINES; TIME INTERVALS; TOTAL WORKS; UPPER BOUNDS; VIOLATION OF CONSTRAINTS; WORK PIECES;

ROBOTICS;

EID: 63749110727     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2008.02.005     Document Type: Article

References (16)

1. Jouaneh M.K., Wang Z., and Dornfeld D.A. Trajectory planning for coordinated motion of a robot and a positioning table: part 1-path specification. IEEE Trans Robot Automat 6 6 (1990) 735-745
2. Chiacchio P., Chiaverini S., and Siciliano B. Direct and inverse kinematics for coordinated motion tasks of a two-manipulator system. Trans ASME J Dyn Syst Meas Control 118 4 (1996) 691-697
3. Cho H.-K., Lee B.-H., and Ko M.-S. Path constrained time-optimal motion of a cooperative two robot system. Robotica 13 4 (1995) 363-374
4. Mayorga R.V., and Wong A.K.C. A robust method for the concurrent motion planning of multi-manipulators systems. J Intell Robot Syst 19 1 (1997) 73-88
5. Latombe J.-C. Motion planning: a journey of robots, molecules, digital actors, and other artifacts. Int J Robot Res 18 11 (1999) 1119-1128
6. Nearchou A., and Aspragathos N. A genetic path planning algorithm for redundant articulated robots. Robotica 15 (1997) 213-224
7. Nearchou A., and Aspragathos N. Application of genetic algorithms to point-to-point motion of redundant manipulators. Mech Mach Theory 31 (1996) 261-270
8. Nearchou A. Solving the inverse kinematics problem of redundant robots operating in complex environments via a modified genetic algorithm. Mech Mach Theory 33 (1998) 273-292
9. Wu L., Cui K., and Chen S.B. Redundancy coordination of multiple robotic devices for welding through genetic algorithm. Robotica 18 6 (2000) 669-676
10. Zaers A.H., Nasir M., Sikander M., and Muhammad A. Cartesian path generation of robot manipulators using continuous genetic algorithms. Robot Auton Syst 41 (2002) 179-223
11. Takanori S., Tamotsu A., Kazuo T., and Matsuo N. Skill based motion planning in hierarchical intelligent control of a redundant manipulator. Robot Auton Syst 18 (1996) 65-73
12. Ramos M.C., and Koivo A.J. Fuzzy logic-based optimisation for redundant manipulators. IEEE Trans Fuzzy Syst 10 4 (2002) 498-509
13. The Mathworks: SimMechanics for use with Simulink: modeling, simulation, implementation, users guide, version 2, 2006.
14. Mitchell M. An introduction to genetic algorithms (1996), MIT Press, Cambridge, USA
15. Houck CR, Joines JA, Kay MG. A genetic algorithm for function optimization: a Matlab implementation. North Carolina State University internal report NCSU-32-22, 1995.
16. Krimpenis A, Liakopoulos PIK, Giannakoglou KC, Vosniakos G-C. Multi-objective design of optimal sculptured surface rough machining through Pareto and Nash techniques. In: Schilling R, Haase W, Periaux J, Baier H, Bugeda G, editors. CD-proceedings EUROGEN 2005, evolutionary and deterministic methods for design, optimization and control with applications to industrial and societal problems, Munich, September 2005.