Alain Haït

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This paper addresses motion planning for a mobile robot moving on a rough terrain. We proposed in 14] a geometrical planner for a particular architecture of robot. The approach was based on a discrete search technique operating in the (x; y;) connguration space of the robot, and on the evaluation of elementary feasible paths between two conngurations. The(More)
In this paper we describe a motion planner for a mobile robot on a natural terrain. This planner takes into account placement constraints of the robot on the terrain and landmark visibility. It is based on a two-step approach: during the rst step, a global graph of subgoals is generated in order to guide the robot through the landmark visibility regions;(More)
Genetic algorithm is one of the main heuristics that have been applied to scheduling problems in the last few decades. This paper presents a generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique. The generalization consists of handling fuzzy time parameter and fuzzy(More)
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