A Novel Multi-Objective Trajectory Planning Method for Robots Based on the Multi-Objective Particle Swarm Optimization Algorithm
The three performance indexes of the space robot, travel time, energy consumption, and smoothness, are the key to its important role in space exploration. Therefore, this paper proposes a multi-objective trajectory planning method for robots. Firstly, the kinematics and dynamics of the Puma560 robot...
Saved in:
| Main Authors: | Jiahui Wang, Yongbo Zhang, Shihao Zhu, Junling Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/23/7663 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design of Fractional–PID Controller Based on Grey Wolf Optimization for Robotic Manipulator
by: Ahmed A. Oglah, et al.
Published: (2025-08-01) -
ONLINE and multi-objective trajectory planner for robotic systems
by: Habib Mohamad, et al.
Published: (2025-01-01) -
Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction
by: Mehrdad Ahmadi Kamarposhti, et al.
Published: (2025-04-01) -
Trajectory Planning for Robotic Manipulators in Automated Palletizing: A Comprehensive Review
by: Samuel Romero, et al.
Published: (2025-04-01) -
Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization
by: Mohammadreza Shahriari
Published: (2024-08-01)