Abstract
New research on Robotics is the subject of a report. According to news reporting from Mianyang, People’s Republic of China, by NewsRx journalists, research stated, “Accidental loss of radioactive sources can pose a significant threat to human health and the ecological environment. This paper proposes a distributed collaborative decision algorithm for multi-robot radioactive source search to solve this problem.” Funders for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Sichuan Province. The news correspondents obtained a quote from the research from the Southwest University of Science and Technology, “The algorithm utilizes a Gaussian parameter fusion method based on cognitive consistency to estimate the posterior probability distribution of source parameters within a Bayesian framework. Also, the algorithm enhances the cognitive consistency of robots through the fusion of shared Gaussian distribution parameters and cognitive difference variables. Each robot calculates a reward function for its next action based on the deviation angle and distance. In addition, the proposed algorithm uses a distributed collaborative search strategy to guide the robot’s search through the robot’s behavioral decisions and behavioral decisions from neighboring robots. Experimental results show that the algorithm achieves a mean search time of only 1.74s and a 100% search success rate.”
NETL
NSTL
Elsevier