Potential Field Method Parameters Tuning Using Fuzzy Inference System for Adaptive Formation Control of Multi-Mobile Robots
Nowadays, employing more than one single robot in complex tasks or dangerous environments is highly required. Thus, the formation of multi-mobile robots is an active field. One famous method for formation control is the Potential Field Method due to its simplicity and efficiency in dynamic environme...
Main Authors: | Basma Gh. Elkilany, A. A. Abouelsoud, Ahmed M.R. Fathelbab, Hiroyuki Ishii |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
|
Series: | Robotics |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-6581/9/1/10 |
Similar Items
-
An Algorithm Based on Neuro-Fuzzy Controller Implemented in A Smart Clothing System For Obstacle Avoidance
by: Senem Kursun Bahadir, et al.
Published: (2013-05-01) -
Robust mobile robot navigation in cluttered environments based on hybrid adaptive neuro-fuzzy inference and sensor fusion
by: Muhammad Husnain Haider, et al.
Published: (2022-11-01) -
Network weight and time-varying potential function for obstacle avoidance of swarm robots in column formation
by: Shotaro Shibahara, et al.
Published: (2022-12-01) -
Can Genetic Algorithms Be Used for Real-Time Obstacle Avoidance for LiDAR-Equipped Mobile Robots?
by: Zoltán Gyenes, et al.
Published: (2023-03-01) -
Collision Risk Assessment and Operation Assistant Strategy for Teleoperation System
by: Shigang Peng, et al.
Published: (2023-03-01)