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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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ISRR
2005
Springer
149views Robotics» more  ISRR 2005»
15 years 3 months ago
Emergence, Exploration and Learning of Embodied Behavior
A novel model for dynamic emergence and adaptation of embodied behavior is proposed. A musculo-skeletal system is controlled by a number of chaotic elements, each of which driving...
Yasuo Kuniyoshi, Shinsuke Suzuki, Shinji Sangawa
ICML
2006
IEEE
15 years 10 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
ICRA
2003
IEEE
143views Robotics» more  ICRA 2003»
15 years 3 months ago
Cooperative task planning of multi-robot systems with temporal constraints
This paper discusses a design methodology of cooperative trajectory generation for multi-robot systems. The trajectory of achieving cooperative tasks, i.e., with temporal constrai...
Feng-Li Lian, Richard M. Murray
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 4 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
ICDE
2005
IEEE
161views Database» more  ICDE 2005»
15 years 11 months ago
Network-Based Problem Detection for Distributed Systems
We introduce a network-based problem detection framework for distributed systems, which includes a data-mining method for discovering dynamic dependencies among distributed servic...
Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Id&eacu...