Sciweavers

329 search results - page 25 / 66
» A Neural Network-Based Approach to Robot Motion Control
Sort
View
FBIT
2007
IEEE
14 years 3 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
MVA
1990
160views Computer Vision» more  MVA 1990»
13 years 9 months ago
Estimating the Pose and Motion of a Known Object for Real-Time Robotic Tracking
An approach for estimating the pose and motion of a known moving object in three dimensions from a sequence of monocular images is considered. The principle is to obtain initial e...
Olli Silvén
IROS
2009
IEEE
164views Robotics» more  IROS 2009»
14 years 3 months ago
Complex networks of simple neurons for bipedal locomotion
— Fluid bipedal locomotion remains a significant challenge for humanoid robotics. Recent bio-inspired approaches have made significant progress by using small numbers of tightl...
Brian F. Allen, Petros Faloutsos
KES
1998
Springer
14 years 25 days ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...
ICRA
2003
IEEE
111views Robotics» more  ICRA 2003»
14 years 1 months ago
Multi-robot team response to a multi-robot opponent team
Adversarial multi-robot problems, where teams of robots compete with one another, require the development of approaches that span all levels of control and integrate algorithms ra...
James Bruce, Michael H. Bowling, Brett Browning, M...