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About

Dr. Zhenxuan Zhao is at the forefront of advancing robotic intelligence, with key research spanning tactile sensing, human-robot collaboration, and multi-embodiment manipulation. Their most impactful contribution is the development of a large-scale integrated flexible tactile sensor array for smart robotic touch, published in 2022 and cited over 125 times—a foundational work that addresses the critical gap in robotic tactile perception. Building on this, Zhao has pioneered the use of foundation models to enhance human-robot collaboration in manufacturing, enabling more adaptive and generalizable assembly systems. Their landmark project, RoboMIND, introduces a comprehensive benchmark dataset containing 107,000 demonstration trajectories across 479 diverse tasks, providing normative data essential for training robots across multiple embodiments. This resource, with over 14 citations since its 2025 release, is already shaping how researchers approach robot manipulation learning. Zhao also explores novel actuation materials, investigating electrothermal and photothermal performance in V2CTx/PE composites. Through this integrated portfolio—from tactile hardware to large-scale benchmarks—Zhao is systematically building the sensory and cognitive foundations for the next generation of dexterous, collaborative robots.