Development of an Autonomous Mobile Robot for Radiation Source Detection Using Neural Networks
This paper presents the design of an autonomous mobile robot to map out the radiation sources on a contaminated surface. This involves simulation of a mobile robot with sensors and the radiation sources on a surface. The basic search criteria are dependent on the strength of the source and distance it is from the robot. A neural network is developed to navigate the mobile robot to the radiation sources. This paper provides an alternative to human involvement in detection and identification of radiation contamination. Preliminary simulation results are promising and are presented in the paper.
M. Buragohain et al., "Development of an Autonomous Mobile Robot for Radiation Source Detection Using Neural Networks," Artificial Neural Networks in Engineering Conference, 2004, American Society of Mechanical Engineers (ASME), Nov 2004.
Electrical and Computer Engineering
Keywords and Phrases
Autonomous Mobile Robot; Neural Network; Radiation sources
Article - Conference proceedings
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.
01 Nov 2004