Patent published

Waiman Meinhold, Ai-Ping Hu, Daniel Martinez, John Oshinski, and Jun Ueda, US Patent Application 17/404,619 “SYSTEMS AND METHODS FOR MAGNETIC RESONANCE IMAGING GUIDED ROBOTICS” Filed: August 17, 2021 GTRC Reference No.: 8246 Emory Ref.: 19225 US Our Reference No.: GTRC8246

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Ueda receives the 7th Nagamori Award

Dr. Ueda has been selected as one of the awardees of the 7th Nagamori Award. Jun Ueda’s Actuator Research Garners Nagamori Foundation Recognition | Research Horizons | Georgia Tech’s Research News (gatech.edu) https://www.nidec.com/en/nagamori-f[LINK]. Jun Ueda Professor, George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyCellular actuators inspired by…

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New NSF Awards

BRHML is excited to start new project and collaboration with support from NSF: National Science Foundation, CMMI, DCSD, A Geometric Approach for Generalized Encrypted Control of Networked Dynamical Systems (#2112793), PI: Ueda, 08/15/2021-08/14/2024 National Science Foundation, ERC-Eng Research Centers, Planning Grant: Engineering Research Center for Connected Eldercare (#2124319), PI: H.…

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Daniel’s paper published in JMRR

Super Resolution for Improved Positioning of an MRI-Guided Spinal Cellular Injection Robot Martinez, D. E., Meinhold, W., Oshinski, J., Hu, A. P., & Ueda, J. (2021). Super Resolution for Improved Positioning of an MRI-Guided Spinal Cellular Injection Robot. Journal of Medical Robotics Research This paper presents the development of a…

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Daniel Martinez receives NSF Graduate Research Fellowship

Congratulations, Daniel !! He has been selected for the prestigious NSF Graduate Research Fellowship Program. http://me.gatech.edu/20201-NSF-Graduate-Fellows About GRFP: The NSF Graduate Research Fellowship Program (GRFP) helps ensure the vitality of the human resource base of science and engineering in the United States and reinforces its diversity. The program recognizes and…

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Paper on IOT smart tendon hammer has been published in Frontiers in Robotics and AI

Meinhold, W., Yamakawa, Y., Honda, H., Mori, T., Izumi, S. I., & Ueda, J. (2021). A Smart Tendon Hammer System for Remote Neurological Examination. Frontiers in Robotics and AI, 8, 28. https://www.frontiersin.org/articles/10.3389/frobt.2021.618656/full The deep tendon reflex exam is an important part of neurological assessment of patients consisting of two components,…

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