Prof. Sarah Bergbreiter — Research Profile
Carnegie Mellon University · Mechanical Engineering
About
Prof. Sarah Bergbreiter at Carnegie Mellon University Mechanical Engineering lists Bioinspired robotics, Micro/nano-robotics, Soft robotics, Wearable robotics as their registered research area.
Research keywords
Recent papers
- Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical ComputationAdvanced Materials Technologies · Sep 28
- When to Waddle: A Comparative Study of Bipedal Torso-Stabilization on Low-Friction SurfacesNewPreprintarXiv (Cornell University) · Sep 18
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Robotic Locomotion and Control
Koushil Sreenath 교수 연구실
University of California, Berkeley · Mechanical Engineering
Evolution of humanoid locomotion controlScience Robotics · Aug 19Novel Mobile Robots Lab
University of Illinois Urbana-Champaign · Mechanical Science and Engineering
A Long-Legged, Direct-Drive Monopedal Robot Achieves Exceptional Jump HeightPreprintarXiv (Cornell University) · Sep 24Mattia Gazzola 교수 연구실
University of Illinois Urbana-Champaign · Mechanical Science and Engineering
Inside Back Cover: Digital Twins for the Design, Interactive Control, and Deployment of Modular, Fiber‐Reinforced Soft Continuum Arms (Adv. Intell. Syst. 10/2026)NewAdvanced Intelligent Systems · Oct 1
Other labs in this department
- Aaron Johnson 교수 연구실
Robotics, Legged and aerial robotics, Controls and automation, Bioinspired robotics
- Alan McGaughey 교수 연구실
Energy, Transport phenomena, Nanoscience, Multiscale modeling, Materials science
- Amir Barati Farimani 교수 연구실
Machine learning, Computational fluid dynamics, Computational modeling, Robotics, Digital twins
- Burak Ozdoganlar 교수 연구실
Advanced manufacturing, Micro/nanoengineering, Biomanufacturing, Precision engineering, Medical devices
- Carmel Majidi 교수 연구실
Soft robotics, Wearable robotics, Advanced manufacturing, Micro/nanoengineering
- Christopher McComb 교수 연구실
Machine learning, Engineering design, Human-AI teaming, Generative design