Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field
Author:
Affiliation:
1. Faculty of Physics, Astronomy and Informatics, Institute of Engineering and Technology, Nicolaus Copernicus University in Torun, Torun, Poland
Funder
“Excellence Initiative - Research University” Programme of Nicolaus Copernicus University, Poland
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09755133.pdf?arnumber=9755133
Reference36 articles.
1. Model Predictive Path Planning Based on Artificial Potential Field and Its Application to Autonomous Lane Change
2. Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning Perspective
3. A Real-Time Collision Avoidance Strategy in Dynamic Airspace Based on Dynamic Artificial Potential Field Algorithm
4. Hybrid Path Planning Algorithm Based on Membrane Pseudo-Bacterial Potential Field for Autonomous Mobile Robots
5. Modeling and experimental study for minimization of energy consumption of a mobile robot
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