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IROS
2008
IEEE
121views Robotics» more  IROS 2008»
14 years 4 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso
ICRA
2003
IEEE
120views Robotics» more  ICRA 2003»
14 years 3 months ago
Design and implementation of a behavior-based control and learning architecture for mobile robots
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...
Il Hong Suh, Sanghoon Lee, Bong Oh Kim, Byung-Ju Y...
PRICAI
2004
Springer
14 years 3 months ago
Covisibility-Based Map Learning Method for Mobile Robots
In previous work, we proposed a unique landmark-based map learning method for mobile robots based on the “co-visibility” information i.e., very coarse qualitative information o...
Takehisa Yairi
ICES
2003
Springer
125views Hardware» more  ICES 2003»
14 years 3 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
ICRA
2005
IEEE
137views Robotics» more  ICRA 2005»
14 years 3 months ago
Learning Opportunity Costs in Multi-Robot Market Based Planners
— Direct human control of multi-robot systems is limited by the cognitive ability of humans to coordinate numerous interacting components. In remote environments, such as those e...
Jeff G. Schneider, David Apfelbaum, Drew Bagnell, ...