Research Focus
We explore how physical embodiment and learning from demonstrations can improve dexterous manipulation, skill transfer, and intelligent robotic behavior.
- Autonomous vision-guided robotic manipulation using deep learning methods.
- Learning from human demonstration and synthetic simulation data.
- Robot development workflows using ROS, ROS2, RoboDK, Isaac Sim, and Isaac Lab.
- Simulation and teleoperation of robotic systems in augmented and virtual environments.