Publication of Benoit Renault in the IROS International conference, NAMO (NavigationAmong Movable Obstacles) is a domain where robots move objets in order to reach their objectives.This paper, Modeling a Social Placement Cost to Extend NavigationAmong Movable Obstacles (NAMO) Algorithms, intends to optimize object placement choices regarding some social constraints (not in the middle, narrow is worth, not breaking room connectivity).

The paper is available here HAL. Paper reference: B. Renault, J. Saraydaryan, O. Simonin, “Modeling a Social Placement Cost to Extend Navigation Among Movable Obstacles (NAMO) Algorithms”. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

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