Baiyue Wang

Southern University of Science and Technology, University of Michigan–Ann Arbor

Papers

Total Citations

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About

Baiyue Wang is a robotics researcher whose work bridges soft robotics and safe manipulation, with a focus on creating intelligent, physically robust systems. Their key research areas include soft actuator design, proprioceptive sensing, and real-time motion planning under uncertainty. Wang’s major contributions include the development of a volumetrically enhanced soft actuator with integrated proprioceptive sensing, enabling soft robots to achieve life-like motions while maintaining lightweight, compliant structures—a critical step toward bio-inspired robotic systems. This work has garnered 9 citations, reflecting its early impact on the field. In parallel, Wang has advanced safe manipulation for robotic arms through the “Can Not Touch This” framework, which addresses real-time collision avoidance, joint limit compliance, and uncertainty in mass and inertia. With 6 and 4 citations across two versions (2025 and 2023), this work demonstrates a commitment to practical, robust autonomy. Wang’s research is notable for its dual focus on hardware innovation and algorithmic safety, offering solutions that are both theoretically sound and deployable in real-world environments. Their achievements highlight a promising trajectory in robotics, with potential applications in manufacturing, healthcare, and human-robot interaction.