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ICIAP
2009
ACM
14 years 2 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...
ICRA
2007
IEEE
136views Robotics» more  ICRA 2007»
14 years 1 months ago
Automated Nanomanipulation with Atomic Force Microscopes
Abstract—Automation has long been recognized as an important goal in AFM (Atomic Force Microscope) nanomanipulation research. For the precise manipulation of small particles with...
Babak Mokaberi, Jaehong Yun, Michael Wang, Aristid...
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
13 years 12 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
ICPR
2000
IEEE
13 years 11 months ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
MVA
1990
133views Computer Vision» more  MVA 1990»
13 years 8 months ago
Using and Generating Environment Models for Indoor Mobile Robots
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Yuval Roth-Tabak, Terry E. Weymouth