| ||||||||||||||
|
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.
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]
|
