TY - GEN
T1 - Multi-Objective GA for Path Planning of Robot Manipulators Based on Dual Quaternion
AU - Cea-Montufar, C. E.
AU - Merchan-Cruz, E. A.
AU - Ramirez-Gordillo, J.
AU - Vergara-Hernandez, E.
AU - Cerro-Ramirez, M. A.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/23
Y1 - 2019/1/23
N2 - This paper presents a path planning strategy for robotic manipulators based on genetic algorithms and dual quaternions, designing a multi-objective function that allow trajectories be planned in an obstacle-free space and singularity-free kinematic restrictions for robotic manipulators as an optimization problem satisfying position and orientation conditions.
AB - This paper presents a path planning strategy for robotic manipulators based on genetic algorithms and dual quaternions, designing a multi-objective function that allow trajectories be planned in an obstacle-free space and singularity-free kinematic restrictions for robotic manipulators as an optimization problem satisfying position and orientation conditions.
KW - dual quaternion
KW - multi-objective genetic algorithm
KW - path planning
KW - robot manipulator
UR - http://www.scopus.com/inward/record.url?scp=85062549283&partnerID=8YFLogxK
U2 - 10.1109/LA-CCI.2018.8625213
DO - 10.1109/LA-CCI.2018.8625213
M3 - Contribución a la conferencia
AN - SCOPUS:85062549283
T3 - 2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
BT - 2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2018
Y2 - 6 November 2018 through 9 November 2018
ER -