Next Article in Journal
Better Safe Than Sorry: Constructing Byzantine-Robust Federated Learning with Synthesized Trust
Next Article in Special Issue
Adaptive Control of Unmanned Aerial Vehicles with Varying Payload and Full Parametric Uncertainties
Previous Article in Journal
Distributed Adaptive Fault-Tolerant Control for Leaderless/Leader–Follower Multi-Agent Systems against Actuator and Sensor Faults
Previous Article in Special Issue
Path Planning of Mecanum Wheel Chassis Based on Improved A* Algorithm
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Optimal Trajectory Planning for Manipulators with Efficiency and Smoothness Constraint

1
School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China
2
Key Laboratory of Modern Textile Equipment Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
3
State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
*
Authors to whom correspondence should be addressed.
Electronics 2023, 12(13), 2928; https://doi.org/10.3390/electronics12132928
Submission received: 8 May 2023 / Revised: 18 June 2023 / Accepted: 29 June 2023 / Published: 3 July 2023
(This article belongs to the Special Issue Path Planning and Control for Robotics)

Abstract

Path planning to generate an appropriate time sequence of positions for a complex trajectory is an open challenge in robotics. This paper proposes an optimization method with the integration of an improved ant colony algorithm and a high-order spline interpolation technique. The optimization process can be modelled as the travelling salesman problem. The greatest features of this method include: (1) automatic generation for complex trajectory and a new idea of selecting the nearest start point instead of using the traditional way of human operation; (2) an optimized motion sequence of the manipulator with the shortest length of the free-load path improves efficiency by nearly 65% and (3) trajectories both in Cartesian space and joint space are interpolated with good smoothness to reduce shocks and vibrations. Simulations and experiments are conducted to demonstrate the good properties of this method.
Keywords: manipulator; path planning; ant colony algorithm; spline interpolation manipulator; path planning; ant colony algorithm; spline interpolation

Share and Cite

MDPI and ACS Style

Xu, Z.; Wang, W.; Chi, Y.; Li, K.; He, L. Optimal Trajectory Planning for Manipulators with Efficiency and Smoothness Constraint. Electronics 2023, 12, 2928. https://doi.org/10.3390/electronics12132928

AMA Style

Xu Z, Wang W, Chi Y, Li K, He L. Optimal Trajectory Planning for Manipulators with Efficiency and Smoothness Constraint. Electronics. 2023; 12(13):2928. https://doi.org/10.3390/electronics12132928

Chicago/Turabian Style

Xu, Zequan, Wei Wang, Yixiang Chi, Kun Li, and Leiying He. 2023. "Optimal Trajectory Planning for Manipulators with Efficiency and Smoothness Constraint" Electronics 12, no. 13: 2928. https://doi.org/10.3390/electronics12132928

APA Style

Xu, Z., Wang, W., Chi, Y., Li, K., & He, L. (2023). Optimal Trajectory Planning for Manipulators with Efficiency and Smoothness Constraint. Electronics, 12(13), 2928. https://doi.org/10.3390/electronics12132928

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop