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A new localization method Genetic Simulated Annealing Monte Carlo Localization (GSAMCL) is presented for mobile robots in this paper. By using the observation matching as the fitness function to make the particles adjust to the high probability area meanwhile utilizing the high optimization performance of Genetic Simulated Annealing Algorithm, GSAMCL alleviates particle recession and improves the...
Coal mine detect robot is a kind of mobile robot. It goes into explosion environment and detects gas content, temperature, etc. Environment dates are send to control people in safe field. Coal mine is a dangerous field, varies fatal factors menace people. Especially when coal mine disaster is occur. Rescuer doesn't know mine tunnel actual situation. It is very dangerous to go into mine tunnel without...
After earthquake, many people are buried under ruins. Rescue is very important in the first 48 hours. Snake robot is a very useful tool in climbing into ruins to detect people. This paper designs a new snake robot with all body drive system based on rope system. All snake robot body has drive ropes to drive it move. It is simple in drive system and control system. Any point touched ground, wall or...
A new wall climbing robot suction method called ldquoNPT methodrdquo has been primarily proposed by our lab, it is based on compositive effect of negative pressure force and thrust. This paper presents the suction principle in detail, then the key parameters are given and a model of the robot is designed. Using computational fluid dynamics simulation, key parameters are analyzed. Finally the attraction-gap-motor...
Light mobile robotpsilas weight design is a important problem which decides function and ability of mobile robot. In this paper, a total design method is advanced. There are many factors to consider, include mechanical part, electrical part, and task part. Each parts of robot must be carefully calculated and designed. There are many experiences in it. A light mobile robot is carefully analyzed as...
To provide proper coverage of their random deployment regions, wireless sensor networks (WSN) should employ abundant nodes. In this paper we correct such situations by employing some mobile robots as mobile nodes in WSN which can actively move to desired locations for repairing the broken networks. According to the pre-research work we know that the number of nodes employed by WSN is closely relevant...
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