This paper presents recent results on applying robust state-of-the-art AI Planning and Scheduling (P&S) techniques to mobile space robotic domains. We introduce an adaptation of an advanced constraint-based, resource driven reasoner for deciding feasible sequences of movements for a mobile robot in charge of executing a set of mission exploration-related jobs in a planetary terrain by reasoning upon complex temporal and resource constraints, in special energy demands. The major contribution of this paper is the inclusion of autonomous energy management capabilities within the general problem solving method.
Toward a CSP-Based Approach for Energy Management in Rovers
Contributo in atti di convegno
IEEE Computer Society, Los Alamitos [CA], USA
IEEE Fourth International Conference on Space Mission Challenges for Information Technology, 2011, pp. 121–128, Palo Alto, CA, USA, 2-4 August 2011