A5083726618- Scheduling and Optimization Algorithms
- Assembly Line Balancing Optimization
- Advanced Manufacturing and Logistics Optimization
- Control and Dynamics of Mobile Robots
- Robotic Path Planning Algorithms
- Fuzzy Logic and Control Systems
- Manufacturing Process and Optimization
University of Electronic Science and Technology of China
2022-2024
Collision-free navigation of mobile robots is a challenging task, especially in unknown environments, and various studies have been carried out this regard. However, the previous shortcomings, such as low performance cluttered high computational costs, multiple controller models for navigation. This paper proposes an adaptive neuro-fuzzy inference system (ANFIS) global positioning (GPS) control to overcome these problems. The proposed method automates robot while averting obstacles densely...
Navigation of autonomous robots in unknown and cluttered environments lies among the marked trends robotics. Unlike animals humans, collision-free movement a robot is challenging requires processing complex information. An needs to cope with large amount uncertainty while navigating. The previous methods have limitations, such as lacking obstacle avoidance behaviour, having number governing rules, designing separate controller for each navigation avoidance, not considering robot's dynamics,...
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