Assist. Prof. Dr. Peng Zhou is an Assistant Professor at Great Bay University whose research focuses on robotic manipulation, task and motion planning, robot learning, and bimanual manipulation, with a strong emphasis on deformable object manipulation and human–robot collaboration. His work integrates advanced perception, learning-based control, model predictive optimization, and latent representation frameworks to enable robots to interact robustly with complex, compliant, and dynamic objects. He has authored approximately 15 peer-reviewed publications in leading international journals and conferences, including IEEE Robotics and Automation Letters, IEEE Transactions on Industrial Informatics, IEEE/ASME Transactions on Mechatronics, and Robotics and Computer-Integrated Manufacturing. His research has attracted growing citations and reflects sustained impact across robotics, manufacturing systems, and intelligent automation. Dr. Zhou has collaborated extensively with internationally recognized researchers and institutions, contributing to interdisciplinary teams spanning robotics, AI, and industrial engineering. His work supports real-world applications in smart manufacturing, safe human–robot interaction, and automation, demonstrating both scientific significance and societal relevance.
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