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ICNC
2009
Springer
14 years 4 months ago
Model-Free Learning and Control in a Mobile Robot
A model-free, biologically-motivated learning and control algorithm called S-learning is described as implemented in an Surveyor SRV-1 mobile robot. S-learning demonstrated learni...
Brandon Rohrer, Michael Bernard, J. Daniel Morrow,...
ICRA
2006
IEEE
183views Robotics» more  ICRA 2006»
14 years 3 months ago
Anytime Dynamic Path-planning with Flexible Probabilistic Roadmaps
Abstract— Probabilistic roadmaps (PRM) have been demonstrated to be very promising for planning paths for robots with high degrees of freedom in complex 3D workspaces. In this pa...
Khaled Belghith, Froduald Kabanza, Leo Hartman, Ro...
ICRA
2003
IEEE
160views Robotics» more  ICRA 2003»
14 years 3 months ago
Adapting navigation strategies using motions patterns of people
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
NIPS
2003
13 years 11 months ago
Approximate Policy Iteration with a Policy Language Bias
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
Alan Fern, Sung Wook Yoon, Robert Givan
EOR
2006
66views more  EOR 2006»
13 years 9 months ago
Performance prediction of an unmanned airborne vehicle multi-agent system
Consider unmanned airborne vehicle (UAV) control agents in a dynamic multi-agent system. The agents must have a set of goals such as destination airport and intermediate positions...
Zhaotong Lian, Abhijit Deshmukh