University of Utah Robotics Center
Higher Education
Salt Lake City, Utah 572 followers
A joint center with School of Computing, Mechanical Engineering, and Electrical and Computer Engineering
About us
The University of Utah Robotics Center is a research and educational center consisting of faculty, postdocs, and graduate students from the School of Computing, Department of Electrical & Computer Engineering, and Department of Mechanical Engineering. Our curriculum imparts fundamental knowledge about robotics and specific courses in mechanics, control, cognition, perception, human-robot interaction, and robot design.
- Website
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https://robotics.coe.utah.edu/
External link for University of Utah Robotics Center
- Industry
- Higher Education
- Company size
- 201-500 employees
- Headquarters
- Salt Lake City, Utah
- Type
- Educational
Locations
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Primary
Get directions
50 S. Central Campus Drive Room 3190
Salt Lake City, Utah 84112, US
Employees at University of Utah Robotics Center
Updates
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University of Utah Robotics Center reposted this
🚨 New Publication 🚨 I’m excited to share our latest paper, “A Biomechanical Analysis of Weighted Lifting With an Active Knee Exoskeleton,” just published in IEEE ACCESS. Manual material handlers—people who #lift and #move objects for a living—experience some of the highest rates of #workplace #injuries, often due to musculoskeletal strain. While #exoskeletons have been proposed as a solution, most prior studies focused on back support and lacked detailed biomechanical analysis at the joint level. This study presents the first comprehensive motion-capture and electromyography study of powered knee exoskeletons during lifting tasks. With rigorous measurements of joint torques, powers, and muscle activity, we found that: 🔹 Peak quadriceps activation decreased by ~30% with the exoskeleton. 🔹 Biological knee torque was reduced by over 50%. 🔹 Importantly, assistance at the knees also reduced effort at the ankles—without shifting strain to the hips or back. These results show that powered knee exoskeletons can help #workers maintain safer, knee-centric lifting strategies while reducing fatigue and injury risk. Beyond advancing fundamental science, our work points toward a future where exoskeletons may become #protective #equipment for workers, much like helmets and gloves today. Congratulations to the whole team! Margaret Meagher Grace Hunt Brendon Ortolano Lukas Gabert Bo Foreman Link to the open-access study in the comments! University of Utah John and Marcia Price College of Engineering University of Utah Robotics Center University of Utah Research The Rocky Mountain Center for Occupational and Environmental Health (RMCOEH)
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🚀 𝐓𝐡𝐞 𝐇𝐮𝐦𝐚𝐧-𝐑𝐨𝐛𝐨𝐭 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐦𝐞𝐧𝐭 𝐋𝐚𝐛 𝐝𝐞𝐛𝐮𝐭𝐬 𝐚𝐭 𝐈𝐂𝐎𝐑𝐑 𝟐𝟎𝟐𝟓! @ Laura Hallock https://lnkd.in/eDvSD26g https://lnkd.in/gh4TNgeW #ICORR #RehabWeek2025 #RehabilitationRobotics #HumanRobotInteraction #Neurorehabilitation #AssistiveTech #Robotics
🚀 𝐓𝐡𝐞 𝐇𝐮𝐦𝐚𝐧-𝐑𝐨𝐛𝐨𝐭 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐦𝐞𝐧𝐭 𝐋𝐚𝐛 𝐝𝐞𝐛𝐮𝐭𝐬 𝐚𝐭 𝐈𝐂𝐎𝐑𝐑 𝟐𝟎𝟐𝟓! Last week, our team had the privilege of presenting (for the first time as a lab!) at RehabWeek 2025 in Chicago, which brought together top researchers, clinicians, and device users from the ACRM | American Congress of Rehabilitation Medicine, ICORR Consortium, IISART, IFESS, ISVR, MiNT and RESNA to ideate on the future of human–robot interaction, neurorehabilitation, and assistive technology. Our lab presented five posters, each exploring novel approaches to rehabilitation challenges through robotics, computational analysis, game development and musculoskeletal sensing: 1. An Extensible Platform for Measurement and Modification of Muscle Engagement During Upper-Limb Robot-Facilitated Rehabilitation - Ajay Anand, Chad Berghoff, Carson Wynn, Evan Falconer, Gabriel Parra, Jonathan Jenkens, Caleb J. Thomson, W. Caden Hamrick, Jacob A. George and Laura Hallock 2. Optimization of Surface Electromyography Sensor Placement for Intuitive and Adaptive Assistive Device Control - Carson Wynn, Evan Falconer, Maria Herrera and Laura Hallock 3. Differentiating Ultrasound-Measured Active and Passive Muscle Deformation via Statistical Shape Modeling - Gavin Sueltz, Vikram Athithan and Laura Hallock 4. Enhancing 6-DoF Rehabilitation Task Guidance with Augmented Reality - Jonathan Jenkens and Laura Hallock 5. Toward a Muscle-Synergy-Based Model of Post-Stroke Pathology in Robot-Assisted Rehabilitation - Gabriel Parra, Chad Berghoff, Ajay Anand and Laura Hallock A huge thank you to the ICORR Consortium and the RehabWeek 2025 organizing committee for curating a phenomenal event that fostered collaboration, curiosity, and inspiration. We’re proud to be part of this vibrant community shaping the future of rehabilitation robotics. Follow the latest updates from the HRE lab on our website at https://lnkd.in/gvBvU_Jq . . . . . https://lnkd.in/gh4TNgeW #ICORR #RehabWeek2025 #RehabilitationRobotics #HumanRobotInteraction #Neurorehabilitation #AssistiveTech #Robotics
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