Navigation of multiple mobile robots in a highly clutter terrains using adaptive neuro-fuzzy inference system |
| |
| Affiliation: | 1. Department of Electromechanical Engineering, University of Burgos, 09006 Burgos, Spain;2. Institute of Knowledge Technology, Complutense University of Madrid, 28040 Madrid, Spain;1. Artificial Intelligence Laboratory, ETCE Department, Jadavpur University, Kolkata, India;2. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India |
| |
| Abstract: | In recent years, the interest in research on robots has increased extensively; mainly due to avoid human to involve in hazardous task, automation of Industries, Defence, Medical and other household applications. Different kinds of robots and different techniques are used for different applications. In the current research proposes the Adaptive Neuro Fuzzy Inference System (ANFIS) Controller for navigation of single as well as multiple mobile robots in highly cluttered environment. In this research it has tried to design a control system which will be able decide its own path in all environmental conditions to reach the target efficiently. Some other requirement for the mobile robot is to perform behaviours like obstacle avoidance, target seeking, speed controlling, knowing the map of the unknown environments, sensing different objects and sensor-based navigation in robot’s environment. |
| |
| Keywords: | Adaptive neuro-fuzzy inference system Fuzzy logic Neural network Navigation Mobile robot ANFIS |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
