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PAMI
2008
391views more  PAMI 2008»
14 years 11 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
75
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IROS
2009
IEEE
126views Robotics» more  IROS 2009»
15 years 6 months ago
Engineering self-adaptive modular robotics: A bio-inspired approach
— In nature, animal groups achieve robustness and scalability with each individual executes a simple and adaptive strategy. Inspired by this phenomenon, we propose a decentralize...
Chih-Han Yu, Radhika Nagpal
SASO
2008
IEEE
15 years 6 months ago
Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we pr...
David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chri...
ROMAN
2007
IEEE
104views Robotics» more  ROMAN 2007»
15 years 6 months ago
A study of interaction between dialog and decision for human-robot collaborative task achievement
Abstract— Human-robot collaboration requires both communicative and decision making skills of a robot. To enable flexible coordination and turn-taking between human users and a ...
Aurélie Clodic, Rachid Alami, Vincent Montr...
ICRA
2006
IEEE
107views Robotics» more  ICRA 2006»
15 years 5 months ago
Passive Bilateral Teleoperation with Constant Time Delays
— We propose a novel control framework for bilateral teleoperation of a pair of multi-degree-of-freedom (DOF) nonlinear robotic systems under constant communication delays. The p...
Dongjun Lee, Mark W. Spong