Exploiting Bacteria Swarms for Pollution Mapping
Inspired by the simplicity of how nature solves its problems, we develop a flocking controller that would enable the localisation and subsequent mapping of environmental pollutants. Pollutants could range from checimal leaks to invisible air borne harzardous materials. We use simulation results to validate our approach and then brie.y discuss how to implement the controller onto a real robotic platform. Our motivation is to use the advantages offered by swarm robotics- simple, multiple and cheap agents- to achieve a collective complex single goal of mapping an environmental pollutant spread over a large area. We aim to make our approach as simple as possible yet highly effective in generating the map.
Bacterium Inspired Algorithm Environmental Monitoring Flocking.
John Oyekan Huosheng Hu Dongbing Gu
School of Computer Science and Electronic Engineering University of Essex,Wivenhoe Park,Colchester CO3 4SQ,U.K.
国际会议
2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)
桂林
英文
39-44
2009-12-19(万方平台首次上网日期,不代表论文的发表时间)