Welcome to

CMU's Momentum Lab

at Carnegie Mellon University's Robotics Institute

About Our Lab

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.

Computer Vision Dexterity Bimanual Manipulation Deformable Objects Soft Robotics Dynamic Movement

Research Topics

Dynamic Manipulation

Control and learning methods for high-speed, contact-rich interactions where timing, compliance, and dynamics are critical to task success.

Dexterous Manipulation

In-hand and multi-finger manipulation with precise force/pose control, leveraging tactile, proprioceptive, and vision feedback for robust policies.

Soft Robotics

Design and control of soft end-effectors and compliance-aware planners enabling safe, adaptive interaction with deformable objects and people.

3D Vision Foundation Models

Foundation models for 3D perception and understanding that power scalable recognition, reconstruction, and policy learning in real-world scenes.

Selected Works

Members

Principal Investigator

Jeffrey Ichnowski, principal investigator at CMU Momentum Lab

Jeffrey Ichnowski

Assistant Professor at CMU Robotics Institute

Education:
  • • B.A. Computer Science and Asian Studies, University of California at Berkeley
  • • Ph.D. Computational Robotics, University of North Carolina at Chapel Hill, 2019
Postdoctoral Training:

Researcher in RISE lab, University of California at Berkeley, 2019-2022

PhD Students

Master Students

Arthur Jakobsson, master's student at CMU Momentum Lab

Arthur Jakobsson

Dexterous and deformable object manipulation

Haoran Hao, master's student at CMU Momentum Lab

Haoran Hao

Machine learning, multimodal perception, and robotic manipulation

Alumni

Uksang Yoo, former phd student at CMU Momentum Lab

Uksang Yoo

PhD Student

Dexterous in-hand manipulation

Jeffrey Ke, former master student at CMU Momentum Lab

Jeffrey Ke

Master Student

Demonstration learning for deformable object manipulation

Rajath Aralikatti, former master student at CMU Momentum Lab

Rajath Aralikatti

Master Student

Manipulation using 3D Vision models

Xilin Zhang, former master student at CMU Momentum Lab

Xilin Zhang

Master Student

Robot learning and computer vision

Shahram Najam Syed, former master student at CMU Momentum Lab

Shahram Najam Syed

Master Student

Vision-language-action models and visuo-acoustic manipulation

Aviral Agrawal, former master student at CMU Momentum Lab

Aviral Agrawal

Master Student

3D multimodal future with the fusion of 3D representation and Vision Language Models

Yatharth Ahuja, former master student at CMU Momentum Lab

Yatharth Ahuja

Master Student

Failure Recovery in Manipulation Tasks

Yunchao Yao, former master student at CMU Momentum Lab

Yunchao Yao

Master Student

Learning from demonstrations, Reinforcement learning

Jan Oberst, former master student at CMU Momentum Lab

Jan Oberst

Master Student

Dense Scene Flow of Deformable Scenes