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AAAI
2010
15 years 5 months ago
Online Learning of Uneven Terrain for Humanoid Bipedal Walking
We present a novel method to control a biped humanoid robot to walk on unknown inclined terrains, using an online learning algorithm to estimate in real-time the local terrain fro...
Seung-Joon Yi, Byoung-Tak Zhang, Daniel D. Lee
147
Voted
AMS
2007
Springer
296views Robotics» more  AMS 2007»
15 years 9 months ago
Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Karl-Theodor Kalveram, André Seyfarth
JMLR
2010
163views more  JMLR 2010»
14 years 10 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar
127
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ROBOCUP
1999
Springer
122views Robotics» more  ROBOCUP 1999»
15 years 8 months ago
The RoboCup - NAIST
Abstract. To make a robot team perform a soccer game, various technologies must be developed. To date, we constructed a multi-sensor based mobile robot for robotic soccer research....
Takayuki Nakamura, Kazunori Terada, Hideaki Takeda...
142
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ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
15 years 10 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer