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 focuses on advancing robotics research through innovative approaches to manipulation, learning, and human-robot interaction. Our research spans soft robotics, computer vision, machine learning, and multi-agent systems, 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.

Dextrous 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

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

Bardienus P. Duisterhof

Bardienus P. Duisterhof

Vision foundation models for scalable automation

Uksang Yoo

Uksang Yoo

Dexterous in-hand manipulation

Master Students

Arthur Jakobsson

Arthur Jakobsson

Dexterous and deformable object manipulation

Jeffrey Ke

Jeffrey Ke

Demonstration learning for deformable object manipulation

Alumni

Aviral Agrawal

Aviral Agrawal

Master Student

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

Yatharth Ahuja

Yatharth Ahuja

Master Student

Failure Recovery in Manipulation Tasks

Yunchao Yao

Yunchao Yao

Master Student

Learning from demonstrations, Reinforcement learning

Jan Oberst

Jan Oberst

Master Student

Dense Scene Flow of Deformable Scenes