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» Using Stochastic Grammars to Learn Robotic Tasks
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ROBOCUP
2004
Springer
94views Robotics» more  ROBOCUP 2004»
14 years 2 months ago
Optic Flow Based Skill Learning for a Humanoid to Trap, Approach to, and Pass a Ball
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
Masaki Ogino, Masaaki Kikuchi, Jun'ichiro Ooga, Ma...
IROS
2009
IEEE
160views Robotics» more  IROS 2009»
14 years 3 months ago
A minimum jerk predictor for teleoperation with variable time delay
— In this paper we describe a method for bridging internet time delays in a teleoperation scenario. In the scenario, the sizes of the time delays is not only stochastic, but it i...
Claes Christian Smith, Henrik I. Christensen
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
14 years 3 months ago
Learning sequential visual attention control through dynamic state space discretization
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
14 years 3 months ago
Bipedal walking on rough terrain using manifold control
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...
Tom Erez, William D. Smart
ATAL
2009
Springer
14 years 3 months ago
An empirical analysis of value function-based and policy search reinforcement learning
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Shivaram Kalyanakrishnan, Peter Stone