The high cost of planetary rover missions limits risk-taking and therefore restricts scientific exploration. Also, limited autonomy requires time-consuming manual commands that must be issued to the rover from a great distance. This paper explores the combination of vision-based geological information inferred from a Bayesian Network (BN) with the guidance system of a micro-rover scout. Simulation is used to study the abilities of the developed algorithm.

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2011 Canadian Conference on Electrical and Computer Engineering, CCECE 2011
Department of Mechanical and Aerospace Engineering

Gallant, M. (Marc), Ellery, A, & Marshall, J. (2011). Science-influenced mobile robot guidance using Bayesian Networks. In Canadian Conference on Electrical and Computer Engineering (pp. 1135–1139). doi:10.1109/CCECE.2011.6030639