"Smart and Sustainable Systems for Human-Robot Collaborative Disassembly"

This event is sponsored by FAMU-FSU Engineering Department of Industrial & Manufacturing Engineering.

Abstract: Collaborative robots open new opportunities to enhance operational efficiency and provide assistance for humans in demanding tasks. This talk will discuss advancements in safety and proactive human-robot collaboration paradigm, addressing challenges in dynamic behavior recognition and robotics vision learning. The first part of the talk will focus on modeling spatial-temporal behavioral data for complex disassembly operations, while the second part will highlight innovations in the automatic detection of end-of-use products with varying conditions. I will showcase the progress in adaptive robotics sensing and intelligent system decision-making through the development of AI-learning and data-driven technologies. Besides discussing recent research studies, I will emphasize their potential applications in across multidisciplinary fields and conclude with my future research plan.

Xinyao (Cynthia) Zhang, Ph.D. Candidate

Engineering School of Sustainable Infrastructure & Environment

University of Florida

Speaker Bio: Xinyao (Cynthia) Zhang is a Ph.D. candidate in the Engineering School of Sustainable Infrastructure & Environment at the University of Florida, expected to complete her degree in May 2025. Her research interests focus on developing artificial intelligence and digitization methods to optimize systems that prioritize human-centric design and promote sustainable management. Her current work spans humanrobot collaboration and smart remanufacturing, with 8 first-author publications. She is an active member of the American Society of Mechanical Engineers (ASME) and reviews for journals such as Journal of Mechanical Design, IEEE Transactions on Human-Machine Systems, Scientific Reports, and workshops at the International Conference on Machine Learning (ICML), among others.