A non-deterministic planner for planetary rovers

M. Ceriotti, Nicolas Croisard, Massimiliano Vasile

Research output: Contribution to conferencePaperpeer-review


This paper presents an integrated planning and scheduling algorithm based on co-evolutionary algorithms. This planner is the core of the delibera-tive level of a three-layer autonomous system (called Wisdom) for planetary rovers. The planner operates at two different levels: at a higher level reallocates and transforms mission goals, based on contingent events, in order to reach scientifically interesting targets and minimize the risk of a failure, at a lower level it generates scheduled sequences of actions that optimize a number of objectives. A particular implementation of co-evolutionary algorithms is used to generate sets of Pareto-optimal plans for every given sequence of goals. Some tests will illustrate the main characteristics of the algorithm.
Original languageEnglish
Publication statusPublished - 6 Jan 2007
EventInternational Joint Conference on Artificial Intelligence (IJCAI) - Hyderabad, India
Duration: 6 Jan 200712 Jan 2007


ConferenceInternational Joint Conference on Artificial Intelligence (IJCAI)
CityHyderabad, India


  • planning and scheduling algorithm
  • planetary rovers
  • co-evolutionary algorithms
  • pareto-optimal plans
  • mission goals


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