A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Kinematic and Dynamic Optimal Trajectory Planning of Industrial Robot Using Improved Multi-objective Ant Lion Optimizer
https://orcid.org/http://orcid.org/0000-0002-5410-4345
https://orcid.org/http://orcid.org/0000-0002-2486-4001
In this paper, an optimal robotic trajectory planning subjected to kinematic and dynamic constraints has been described. The kinematic parameters like jerk and dynamic parameters like torque rate mainly influence the smoothness of the travel of robot end effector along the trajectory path. Therefore, these parameters are to be constrained for reducing the robot positional error, but it leads to vast increase in total travel time of robot which in the end affects the productivity. Therefore, an improved multi-objective ant lion optimization technique has been applied to obtain the optimal trajectory with minimization time-jerk–torque rate for a 6 axis Kawasaki RS06L industrial robot. After implementation of the algorithm, the torque rate and jerk have been reduced considerably and the total travel time before and after optimization has been found to be 34.38 s and 28.21 s.
Kinematic and Dynamic Optimal Trajectory Planning of Industrial Robot Using Improved Multi-objective Ant Lion Optimizer
https://orcid.org/http://orcid.org/0000-0002-5410-4345
https://orcid.org/http://orcid.org/0000-0002-2486-4001
In this paper, an optimal robotic trajectory planning subjected to kinematic and dynamic constraints has been described. The kinematic parameters like jerk and dynamic parameters like torque rate mainly influence the smoothness of the travel of robot end effector along the trajectory path. Therefore, these parameters are to be constrained for reducing the robot positional error, but it leads to vast increase in total travel time of robot which in the end affects the productivity. Therefore, an improved multi-objective ant lion optimization technique has been applied to obtain the optimal trajectory with minimization time-jerk–torque rate for a 6 axis Kawasaki RS06L industrial robot. After implementation of the algorithm, the torque rate and jerk have been reduced considerably and the total travel time before and after optimization has been found to be 34.38 s and 28.21 s.
Kinematic and Dynamic Optimal Trajectory Planning of Industrial Robot Using Improved Multi-objective Ant Lion Optimizer
https://orcid.org/http://orcid.org/0000-0002-5410-4345
https://orcid.org/http://orcid.org/0000-0002-2486-4001
In this paper, an optimal robotic trajectory planning subjected to kinematic and dynamic constraints has been described. The kinematic parameters like jerk and dynamic parameters like torque rate mainly influence the smoothness of the travel of robot end effector along the trajectory path. Therefore, these parameters are to be constrained for reducing the robot positional error, but it leads to vast increase in total travel time of robot which in the end affects the productivity. Therefore, an improved multi-objective ant lion optimization technique has been applied to obtain the optimal trajectory with minimization time-jerk–torque rate for a 6 axis Kawasaki RS06L industrial robot. After implementation of the algorithm, the torque rate and jerk have been reduced considerably and the total travel time before and after optimization has been found to be 34.38 s and 28.21 s.
Kinematic and Dynamic Optimal Trajectory Planning of Industrial Robot Using Improved Multi-objective Ant Lion Optimizer
J. Inst. Eng. India Ser. C
Rout, Amruta (author) / Mahanta, Golak Bihari (author) / Bbvl, Deepak (author) / Biswal, Bibhuti Bhusan (author)
Journal of The Institution of Engineers (India): Series C ; 101 ; 559-569
2020-06-01
11 pages
Article (Journal)
Electronic Resource
English
Optimal Trajectory Planning for Robot
| British Library Conference Proceedings | 2011
Optimal bridge maintenance planning using improved multi-objective genetic algorithm
| Taylor & Francis Verlag | 2006
Ant lion optimizer for optimization of finite perforated metallic plate
| British Library Online Contents | 2019