Real-time hierarchical POMDPs for autonomous robot navigation

@misc{citeulike:3007037, abstract = {This paper proposes a new hierarchical formulation of POMDPs for autonomous robot navigation that can be solved in real-time, and is memory e\#cient. It will be referred to in this paper as the Robot Navigation - Hierarchical POMDP (RN-HPOMDP). The RN-HPOMDP is utilized as a unified framework for autonomous robot navigation in dynamic environments. As such, it is used for localization, planning and local obstacle avoidance. Hence, the RN-HPOMDP decides at each time step the actions the robot...}, author = {Foka, A. and Trahanias, P. }, citeulike-article-id = {3007037}, keywords = {hierarchical, model\_based, reinforcement\_learning}, posted-at = {2008-07-15 22:23:55}, priority = {2}, title = {Real-time hierarchical POMDPs for autonomous robot navigation}, url = {http://citeseer.ist.psu.edu/732595.html} }

TY - GEN ID - citeulike:3007037 L3 - citeulike-article-id:3007037 TI - Real-time hierarchical POMDPs for autonomous robot navigation N2 - This paper proposes a new hierarchical formulation of POMDPs for autonomous robot navigation that can be solved in real-time, and is memory e#cient. It will be referred to in this paper as the Robot Navigation - Hierarchical POMDP (RN-HPOMDP). The RN-HPOMDP is utilized as a unified framework for autonomous robot navigation in dynamic environments. As such, it is used for localization, planning and local obstacle avoidance. Hence, the RN-HPOMDP decides at each time step the actions the robot... KW - hierarchical KW - model_based KW - reinforcement_learning AU - Foka, A AU - Trahanias, P UR - http://citeseer.ist.psu.edu/732595.html ER -