Estimating uncertain spatial relationships in robotics
Autonomous robot vehicles
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters
IEEE Transactions on Robotics
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The use of mobile robots to collect the sensor readings required to generate radiation maps has the significant advantage of eliminating the risk of exposure that humans would otherwise face by collecting the readings by hand. In this work, a mobile robotic platform designed specifically to collect this information to synthesize radiation maps is presented. Details of the design are discussed, focusing in particular on the physical map generating capabilities of this new platform that are necessary to enable the generation of the radiation maps. The physical maps are generated using a laser range finder based implementation of Simultaneous Localization and Mapping (SLAM).