Toward a CSP-Based Approach for Energy Management in Rovers

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.

Publication type: 
Contributo in atti di convegno
Author or Creator: 
Diaz, Daniel
Rodriguez-Moreno, Maria Dolores
Cesta, Amedeo
Oddi, Angelo
Rasconi, Riccardo
Publisher: 
IEEE Computer Society, Los Alamitos [CA], USA
Source: 
IEEE Fourth International Conference on Space Mission Challenges for Information Technology, 2011, pp. 121–128, Palo Alto, CA, USA, 2-4 August 2011
Date: 
2011
Resource Identifier: 
http://www.cnr.it/prodotto/i/204028
https://dx.doi.org/10.1109/SMC-IT.2011.24
info:doi:10.1109/SMC-IT.2011.24
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6007783
urn:isbn:978-1-4577-0712-4
Language: 
Eng
ISTC Author: 
Angelo Oddi's picture
Real name: 
Riccardo Rasconi's picture
Real name: 
Amedeo Cesta's picture
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