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)
Nolde and Morari [10] study a steel manufacturing scheduling problem where the tasks must be scheduled such that electricity consumption matches to a pre-specified periodic energy chart. They propose a continuous time integer linear programming formulation to solve the problem. In this note, we present an alternative continuous time formulation that(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)
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)
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