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.

autonomous science, belief networks, guidance systems, planetary exploration, Planetary robotics
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