Agents that learn to act.
Reinforcement learning agents that train in simulation and transfer to real hardware. Legged locomotion, manipulation, sim-to-real policy learning.
BK Robotics Lab
Where AI meets the physical world.
A personal engineering lab building robotics and embodied AI systems at the overlap of artificial intelligence, spatial computing, and robotics.
Interfaces between humans and machines.
Telepresence, digital twins, and XR for human–robot interaction — the spatial dimension robotics has been missing.
The loop, closed in real time.
ROS, embedded control, and the perception pipelines (vision, SLAM, sensor fusion) that close the loop on real hardware.