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General Autonomous Robotics

Autonomous systems use sensory data, artificial intelligence, machine learning, and motion planning and control to make real-time decisions about how to act in changing environments.

Research Topics

Dynamic and nonprehensile manipulation

Dynamic and nonprehensile manipulation

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Legged locomotion

Legged locomotion

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Control synthesis and embodied intelligence

Control synthesis and embodied intelligence

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Physical information and active learning

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Scalable algorithms for physical systems

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Multi-fingered manipulation

Control of cyber-physical systems in uncertain environments

We develop algorithms that help complex cyberphysical systems to anticipate future uncertainty.

Collaborative manipulation

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