TY - GEN
T1 - Trajectory planning for multi-robot formation by one hybrid particle swarm optimization algorithm
AU - Wang, Jingwen
AU - Ren, Xuemei
AU - Liu, Jun
PY - 2013
Y1 - 2013
N2 - A hybrid particle swarm optimization (PSO) algorithm which consists of continuous and discrete PSO algorithm is introduced to solve the trajectory planning problem of multi-robot formation. The continuous PSO algorithm is utilized to optimize the center position and rotation angle of the desired formation, while the discrete PSO algorithm is to optimize the matching relationship between the initial and target positions. To demonstrate the correctness and validity of the proposed algorithm, simulation results of the trajectory planning for typical formation and another transformed formation are presented.
AB - A hybrid particle swarm optimization (PSO) algorithm which consists of continuous and discrete PSO algorithm is introduced to solve the trajectory planning problem of multi-robot formation. The continuous PSO algorithm is utilized to optimize the center position and rotation angle of the desired formation, while the discrete PSO algorithm is to optimize the matching relationship between the initial and target positions. To demonstrate the correctness and validity of the proposed algorithm, simulation results of the trajectory planning for typical formation and another transformed formation are presented.
KW - Hybrid PSO algorithm
KW - Multi-robot formation
KW - Trajectory planning
UR - https://www.scopus.com/pages/publications/84891925176
U2 - 10.1109/IHMSC.2013.88
DO - 10.1109/IHMSC.2013.88
M3 - Conference contribution
AN - SCOPUS:84891925176
SN - 9780769550114
T3 - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
SP - 344
EP - 348
BT - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
T2 - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Y2 - 26 August 2013 through 27 August 2013
ER -