The Momentum Lab at Carnegie Mellon University's Robotics Institute researches dexterous manipulation, soft robotics, 3D computer vision, and robot learning. We develop methods for in-hand and bimanual manipulation, deformable objects, contact-rich control, and vision foundation models, with applications in healthcare, manufacturing, and everyday assistance.
Control and learning methods for high-speed, contact-rich interactions where timing, compliance, and dynamics are critical to task success.
In-hand and multi-finger manipulation with precise force/pose control, leveraging tactile, proprioceptive, and vision feedback for robust policies.
Design and control of soft end-effectors and compliance-aware planners enabling safe, adaptive interaction with deformable objects and people.
Foundation models for 3D perception and understanding that power scalable recognition, reconstruction, and policy learning in real-world scenes.
Assistant Professor at CMU Robotics Institute
Researcher in RISE lab, University of California at Berkeley, 2019-2022
Master Student
3D multimodal future with the fusion of 3D representation and Vision Language Models