Biorobotics and Human Modeling Lab, Dr. Jun Ueda, Georgia Tech

Dr. Ueda attended the 12th Sino-American Technology and Engineering Conference (SATEC) held between 5/13-5/19 in China. Ten U.S. experts invited through ASME (led by Dr. Schmiedeler with University of Notre Dame) in intelligent robotics visited companies and institutions in Anhui province and attended a meeting in Beijing. The ASME group…

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Melih Turkseven and Jun Ueda, Model Based Force Control of Pneumatic Actuators with Long Transmission Lines, IEEE /ASME Transactions on Mechatronics, [LINK Xplore]. Pneumatic systems with long transmission lines have recently gained popularity in tele-operated robotic applications, such as medical robots designed for operations in magnetic resonance (MR) rooms, mobile…

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Quincey Lowery presented his MS thesis on Shock Absorbing Exoskeleton for Vertical Mobility System and successfully completed the MS program. Great work and congratulations.

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Michael Libretto (ME), Yingxin Qiu (ME) and Waiman Meinhold (Robotics) passed the PhD qualifying exam. Congratulations!!

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Ellenor Brown, Yasuhide Yoshitake, Minoru Shinohara, Jun Ueda, “Automatic analysis of ultrasound shear-wave elastography in skeletal muscle without non-contractile tissue contamination,” International Journal of Intelligent Robotics and Applications https://link.springer.com/article/10.1007/s41315-018-0050-1

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An interdicipinary team at Georgia Tech led by Dr. Ansari at ECE will develop muscle-inspired piezoelectric actuators. Georgia Tech Institute for Electronics and Nanotechnology (IEN), Micro-/Nano- Electronics and Photonics for Challenges of Global Significance, $225,000 (for 3 years), Muscle-Inspired Actuators for Multiscale Robotics (MIAMuR), PI: Azadeh Ansari, co-PIs: Sponberg, Goldman,…

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Terese won a $1,500 award at the 2018 CRIDC poster competition for the presentation titled “Stent Insertion for the Treatment of Glaucoma.” This is our new collaboration with Dr. Reay Brown with Atlanta Ophthalmology Associates.  Congratulations!!

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Michael D. Kim and Jun Ueda, Dynamics-based motion de-blurring improves the performance of optical character recognition during fast scanning of a robotic eye, IEEE Transactions on Mechatronics [Link Early Access]. Abstract: This paper presents a quantitative evaluation of the dynamics-based de-blurring method using an optical character recognition (OCR) technology. Although…

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Woodruff School Associate Professor Dr. Ueda was recently awarded a $300K grant from the National Science Foundation to study dynamic robot vision inspired by the principles of human vision for effective image de-blurring and panoramic image stitching. [ME News]

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