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Research

Research in the CLMC-Lab encompasses a broad spectrum, ranging from applied to theoretical research and from research with robotic systems to research on biological topics, including experiments with human subjects and topics in computational neuroscience. The following list gives examples of the research foci of the recent years:

• Statistical Learning
• Reinforcement Learning
• Imitation Learning
• Motor Primitives
• Nonlinear Control
• Humanoid Robotics
• Legged Locomotion
• Computational Neuroscience

Acknowledgements:

This research was supported in part by National Science Foundation grants ECS-0326095, IIS-0535282,CNS-0619937, IIS-0917318, CBET-0922784, EECS-0926052, the DARPA program on Learning Locomotion, the Okawa Foundation, and the ATR Computational Neuroscience Laboratories.