Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6867486 | Robotics and Autonomous Systems | 2015 | 28 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jayanta Kumar Pothal, Dayal R. Parhi,