Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/2052| Title: | Target Seeking Behaviour of an Intelligent Mobile Robot Using Advanced Particle Swarm Optimization |
| Authors: | Deepak, B B V L Parhi, D R |
| Keywords: | autonomous mobile robot motion planning obstacle avoidance target seeking particle swarm optimization |
| Issue Date: | Dec-2013 |
| Publisher: | IEEE |
| Citation: | IEEE International Conference on Control, Automation, Robotics and Embedded System, 2013 |
| Abstract: | the present research work aims to develop two different motion planners for an autonomous mobile robot. The developed motion planners are inspired by particle swarm optimization and are useful for generating feasible paths by the robot within its unknown environment. Each motion planner works on its own fitness function and each fitness function are modelled based on the robot sensory information. Path analysis results showed that both motion planners are generating collision free paths and reaches its destination within its workspace. Finally, comparison has been done in between the developed PSO based motion planners. |
| Description: | Copyright belongs to the proceeding publisher |
| URI: | http://hdl.handle.net/2080/2052 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Target Seeking Behaviour of an Intelligent.pdf | 542.42 kB | Adobe PDF | View/Open |
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