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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 7 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
16 years 3 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 7 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
123
Voted
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 8 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
235
Voted
ICDE
2005
IEEE
161views Database» more  ICDE 2005»
16 years 3 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...