Jorge Cortés


Receding-horizon multi-objective optimization for disaster response
K. Lee, S. Martínez, J. Cortés, R. H. Chen, M. B. Milam
Proceedings of the American Control Conference, Milwaukee, Wisconsin, USA, 2018, pp.5304-5309


This paper proposes a receding-horizon, multi-objective optimization approach for robot motion planning in disaster response scenarios. During a search and rescue mission, a robot is deployed in the disaster area to find and egress all victims. In doing so, multiple criteria characterize the effectiveness of such plan. We define three objective functions (performance, uncertainty about victim locations, and uncertainty about the environment) and formulate a multi-objective optimization problem employing a combined weighted-sum and $\epsilon$-constraint method. To handle dynamic scenarios, we employ a receding-horizon approach that allows to dynamically adapt the $\epsilon$ constraint. We illustrate the effectiveness of the proposed method via simulations.


Mechanical and Aerospace Engineering, University of California, San Diego
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