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ICML
2009
IEEE
16 years 7 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
MSN
2007
Springer
130views Sensor Networks» more  MSN 2007»
16 years 13 days ago
Localized Mobility Control Routing in Robotic Sensor Wireless Networks
The paper addresses mobility control routing in robotic sensor wireless networks, where either mobile sensors or mobile actuators assist in wireless data intensive transmissions fr...
Hai Liu, Amiya Nayak, Ivan Stojmenovic
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 10 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
EPIA
1995
Springer
15 years 10 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
CDC
2008
IEEE
188views Control Systems» more  CDC 2008»
15 years 8 months ago
A method for stereo-vision based tracking for robotic applications
Vision based tracking of an object using the ideas of perspective projection inherently consists of nonlinearly modelled measurements although the underlying dynamic system that en...
Pubudu N. Pathirana, Adrian N. Bishop, Andrey V. S...