Xupeng Wang

Xi'an University of Technology, University of Electronic Science and Technology of China

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Total Citations

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About

Xupeng Wang is a leading researcher at the intersection of human augmentation and artificial intelligence security, with pioneering work in both wearable robotics and adversarial machine learning. His most impactful contribution is the development of a wearable lower limb exoskeleton that demonstrably reduces the energy cost of human movement—a breakthrough with 61 citations that directly addresses the core challenge of delaying fatigue and enhancing human performance in real-world locomotion. This work positions him at the forefront of human body enhancement through robotic systems. In parallel, Wang has made significant strides in AI safety, authoring a highly cited 2023 study on topology-aware universal adversarial attacks for 3D object tracking. This research exposes critical vulnerabilities in deep neural networks used for autonomous driving and robotics, demonstrating how subtle perturbations can compromise spatial perception. By bridging the gap between physical human-robot interaction and the robustness of perception algorithms, Wang’s dual-track research offers a comprehensive vision for safer, more effective autonomous systems—from exoskeletons that empower human movement to AI that can withstand sophisticated attacks.