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ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 5 months ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
CONNECTION
2006
117views more  CONNECTION 2006»
13 years 10 months ago
Bootstrap learning of foundational representations
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
Benjamin Kuipers, Patrick Beeson, Joseph Modayil, ...
ICRA
2007
IEEE
133views Robotics» more  ICRA 2007»
14 years 5 months ago
A visual bag of words method for interactive qualitative localization and mapping
— Localization for low cost humanoid or animal-like personal robots has to rely on cheap sensors and has to be robust to user manipulations of the robot. We present a visual loca...
David Filliat
AAAI
2004
14 years 5 days ago
Machine Learning for Fast Quadrupedal Locomotion
For a robot, the ability to get from one place to another is one of the most basic skills. However, locomotion on legged robots is a challenging multidimensional control problem. ...
Nate Kohl, Peter Stone
ICCBR
2009
Springer
14 years 5 months ago
S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control
A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Brandon Rohrer