Design and Implementation of a Multi-Sensor Based Object Detecting and Removing Autonomous Robot Exploration System

Fan Wu, Johnathan Williams

Computer Science Department, Tuskegee University, Tuskegee, AL, USA.
Electrical Engineering Department, Tuskegee University, Tuskegee, AL, USA.

DOI: 10.4236/jcc.2014.27002                

Abstract

Developing autonomous mobile robot system has been a hot topic in AI area. With recent advances in technology, autonomous robots are attracting more and more attention worldwide, and there are a lot of ongoing research and development activities in both industry and academia. In complex ground environment, obstacles positions are uncertain. Path finding for robots in such environment is very hot issues currently. In this paper, we present the design and implementation of a multi-sensor based object detecting and moving autonomous robot exploration system, 4RE, with the VEX robotics design system. With the goals of object detecting and removing in complex ground environment with different obstacles, a novel object detecting and removing algorithms is proposed and implemented. Experimental results indicate that our robot system with our object detecting and removing algorithm can effectively detect the obstacles on the path and remove them in complex ground environment and avoid collision with the obstacles.

Keywords

Autonomous Robot Exploration System, Object Detecting and Removing Algorithm, Multiple Sensors

Conflicts of Interest

The authors declare no conflicts of interest.

References

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