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AROBOTS
2002
115views more  AROBOTS 2002»
13 years 6 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
ICML
2000
IEEE
14 years 7 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
ROBOCUP
2005
Springer
146views Robotics» more  ROBOCUP 2005»
13 years 11 months ago
Using a Symmetric Rotor as a Tool for Balancing
Abstract. In the Humanoid Leagues balancing during walking and running is still the biggest challenge for most of the teams. We present here some work in which a dynamic walker is ...
Norbert Michael Mayer, Minoru Asada, Rodrigo da Si...
NIPS
2008
13 years 7 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
CHI
2004
ACM
13 years 11 months ago
Topobo: a constructive assembly system with kinetic memory
We introduce Topobo, a 3D constructive assembly system embedded with kinetic memory, the ability to record and playback physical motion. Unique among modeling systems is Topoboʼs...
Hayes Raffle, Amanda J. Parkes, Hiroshi Ishii