Yingxin’s paper has been published in IEEE T-MRB

Yingxin Qiu, Mengnan Wu, Lena Ting, and Jun Ueda, Two-Stage Optimized Perturbation Design for Efficient Human Arm Impedance Identification with Device Dynamics Compensation, IEEE Transactions on Medical Robotics and Bionics. System identification of human sensorimotor systems requires multiple experimental trials to achieve reliable parameter estimates, yet practical constraints limit the…

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New NSF award for research on cybersecurity in motion control systems

NSF Foundational Research in Robotics (FRR), Geometric Vulnerabilities in Networked Robotic Systems: Analysis of Affine Transformation-Based False Data Injection Attacks and Their Countermeasures (#2516189), PI: Ueda, $691,375, 09/01/2025-08/31/2028 This research develops a comprehensive theoretical framework using Lie group theory and differential geometry to characterize geometric vulnerabilities in networked robotic systems…

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IEEE TMECH Defense Mechanisms Against Undetectable Cyberattacks on Encrypted Telerobotic Control Systems

A paper on defense mechanisms against false data injection attacks utilizing malleability of homomorphic encryption has been published in IEEE TMECH. H. Kwon, J. Blevins and J. Ueda, “Defense Mechanisms Against Undetectable Cyberattacks on Encrypted TeleroboticControl Systems,” in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2025.3570933. Abstract: Networked control systems are vulnerable…

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