@inproceedings{SisLab2612,
       booktitle = {Tuy?n t?p c{\^o}ng tr{\`i}nh HNKH to{\`a}n qu?c l?n th? 3 v? {\dj}i?u khi?n \& T? {\dj}?ng ho{\'a} VCCA - 2015},
          volume = {1},
          number = {1},
           title = {Light source detection using multirobot systems with particle swarm optimization approach},
          author = {Anh Quy Hoang and Minh Trien Pham},
            year = {2016},
         journal = {PROCEEDING of Publishing House for Science and Technology},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2612/},
        abstract = {Exploration and searching in unknown or hazardous environments using Multirobot 
System (MRS) is among the principal topics in robotics. There have been numerous 
researches on searching and detection of odor, fire or pollution sources. In this paper, we 
present results on detecting light sources with MRS using modified Particle Swarm 
Optimization (PSO). The robot swarm makes use of Artificial Potential Field (APF) to avoid 
collision with obstacles or other robots while heading towards areas of highest ...}
}