A highly interpretable fuzzy rule base using ordinal structure for obstacle avoidance of mobile robot

Author:

Samsudin Khairulmizam,Ahmad Faisul Arif,Mashohor Syamsiah

Publisher

Elsevier BV

Subject

Software

Reference30 articles.

1. Study of the new method for improving artifical potential field in mobile robot obstacle avoidance;Shi,2007

2. Visual navigation and obstacle avoidance using a steering potential function;Huang;Robotics and Autonomous Systems,2006

3. Histogramic in-motion mapping for mobile robot obstacle avoidance;Borenstein;IEEE Transaction on Robotic Automation,1991

4. Reinforcement learning neural network to the problem of autonomous mobile robot obstacle avoidance;Huang,2005

5. Evolved neural networks based on cellular automata for sensory-motor controller;Kim;Neurocomputing,2006

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