research Imitation Learning Learning from demonstrations—hybrid trajectory and force imitation, diffusion policies, learning from few demos and haptic teleoperation for contact-rich manipulation. Active Compliance Control Learning force and variable compliance control for contact-rich manipulation with position-controlled robots, RL for assembly, and industrial deployment. Passive Compliance (Soft Robots) Soft wrists and hands, tactile sensing, and compliant contact-rich manipulation via physical softness rather than active force control. Vision-Language and Task and Motion Planning Language-guided robot task planning, vision-language interpreters, and integrated task and motion planning (TAMP) for manipulation. Cooking Robotics Robot learning for cooking—food slicing, task and motion planning for food preparation, and integrated TAMP for real-world cooking tasks. Universal Robots ROS1 Control Collection of utilities for easily controlling Universal Robots either on the Gazebo simulator or the real robots. internship WRS2020 Robotic Assembly Challenge. Robotic Industrial Assembly Challenge at WRS2020 World Robot Summit. As part of the O2AC team, we achieve the 3rd place. GSoC & Moveit: Simultaneous Trajectory Execution 2022 Google Summer of Code participant. Open Source Project with MoveIt on the feature Simultaneous Trajectory Execution fun OpenBotV MVP - Robotics 4.0 Educational robot: First prototype of robot arm, and corresponding Android app.
