My research focuses on understanding the fundamentals of embodied movement across biological, digital, and electromechanical systems. I am interested in building artificial beings—both digital and physical—that are indistinguishable from humans in their appearance, spatial reasoning, and behavioral intelligence.

I leverage tools from Machine Learning, Biomechanics, Robotics, and Optimal Control to design sample-efficient algorithms that scale to deliver embodied abilities surpassing human-level dexterity and agility. I strongly believe its possible to realize artificial agengts indistinguishable from humans in our lifetime.

Video highlights

Neuro
Muscular

Dexterous
Manipulation

Foundation Models for Robot Learning

Multi-Task / Hierarchical Learning

Model based
learning

Model-Free
Learning

Supervised
Learning

Reinforcement
Learning


Trajectory
Optimization

Adroit Manipulation Platform

Physically realistic Virtual Reality

Darpa Robotics Challenge (DRC)

Robot
Design

Benchmarking

Brain Machine
Interface

Tracking and
Calibration