Machine Learning and Robot Perception 2005
Bruno Apolloni, Ashish Ghosh, Ferda Nur Alpaslan, Lakhmi C. Jain, Srikanta Patnaik (Eds.):
Machine Learning and Robot Perception.
Studies in Computational Intelligence Vol. 7 Springer 2005, ISBN 978-3-540-26549-8 
- Mario Mata, Jose M. Armingol, Arturo de la Escalera:
Learning Visual Landmarks for Mobile Robot Topological Navigation.
1-55
- Mohammed Yeasin, Rajeev Sharma:
Foveated Vision Sensor and Image Processing - A Review.
57-98
- Yu Sun, Ning Xi, Jindong Tan:
On-line Model Learning for Mobile Manipulations.
99-135
- María Jesús López Boada, Ramón Barber, Verónica Egido, Miguel Angel Salichs:
Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot.
137-165
- Gozde B. Unal, Anthony J. Yezzi, Hamid Krim:
Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking.
167-202
- Johnny Park, Guilherme N. DeSouza:
3-D Modeling of Real-World Objects Using Range and Intensity Images.
203-264
- Christopher Richard Wren:
Perception for Human Motion Understanding.
265-324
- Hirotaka Asai, Takamasa Koshizen, Masataka Watanabe, Hiroshi Tsujino, Kazuyuki Aihara:
Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.
325-351
Copyright © Sat Nov 28 22:08:16 2009
by Michael Ley (ley@uni-trier.de)
