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« What is NAMO?

Navigation Among Movable Obstacles (NAMO) is a practical extension to navigation for humanoids and other dexterous mobile robots. The robot is permitted to reconfigure the environment by moving obstacles and creating free space for a path.

This is an exciting problem because it combines the field of traditional AI with navigation/manipulation planning and real-world dynamics. In doing so, NAMO planners can enable robots to perform complex tasks that appear to require intelligent thought.

In our project, we develop real-time algorithms for motion planning in the NAMO domain.

» Publications

J. van den Berg, M. Stilman, J. Kuffner, M. Lin, D. Manocha.
Path Planning among Movable Obstacles: a Probabilistically Complete Approach. Proc. Workshop on Algorithmic Foundation of Robotics - WAFR'08, 2008. [PDF]

M. Stilman, J. Schamburek, J. Kuffner, T. Asfour. Manipulation Planning Among Movable Obstacles Proceedings of the IEEE International Conference on Robotics and Automation, April, 2007. [PDF]

M. Stilman, K. Nishiwaki, S. Kagami and J. Kuffner. Planning and Executing Navigation Among Movable Obstacles Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct., 2006. [PDF]

M. Stilman and J.J. Kuffner. Planning Among Movable Obstacles with Artificial Constraints Workshop on the Algorithmic Foundations of Robotics, July, 2006. [PDF]

M. Stilman and J.J. Kuffner. Navigation Among Movable Obstacles: Real-time Reasoning in Complex Environments. (Updated Journal Version) International Journal of Humanoid Robotics Vol. 2, No. 4 (December 2005) [PDF]

M. Stilman and J.J. Kuffner. Navigation Among Movable Obstacles: Real-time Reasoning in Complex Environments. In Proc. IEEE Int. Conf. on Humanoid Robotics (Humanoids'04), 2004. [PDF]

 

Copyright 2004-2007
Mike Stilman.