Research Interests
My interests lie in the integration of compliant control and machine learning for the design, modeling, and control of soft and continuum mechanical systems, with a particular focus on bio-inspired robotics where rigid-body paradigms are limited. I am especially drawn to embodied intelligence and impedance-shaped interaction, exploring how the natural dynamics of compliant bodies can be harnessed instead of canceled, to achieve dexterous manipulation and adaptive locomotion. My goal is to develop principled frameworks for perception and control that enable robust and versatile behavior in contact-rich environments.
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01
Interaction Control of Soft Robots
Control architectures that exploit the natural dynamics of soft and continuum systems instead of suppressing them.
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02
Modeling and Sensing of Compliant Structures
Hybrid analytical and data-driven models for proprioception and state estimation of mechanically intelligent bodies.
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03
Design of Bio-Inspired Robots
Robotic platforms drawn from aquatic and terrestrial animals, with morphology and control co-designed for adaptive behavior.