ARC Lab. focuses primarily on the study of novel control theories and high-performance actuation for intelligent robotics.
Control theory that stays robust under uncertainty and disturbances — from disturbance-observer (DOB) design in the H-infinity framework to robustness guarantees for learning-based control.
Bringing control theory to physical robots: high-performance actuation, vision-based and dual-arm manipulation, and pneumatically actuated humanoids.
Autonomous laboratories — robotic systems that synthesize materials and run chemical experiments with minimal human intervention.