Robot-Animal Interaction Using Emotional Perception and Behavioral Generation

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Date 29.07.2025
Hour 13:3014:30
Speaker Qing Shi received the Ph.D. degree from Waseda University, Japan, in 2012. He had been a Research Associate at GCOE Global Robot Academia of Waseda University from 2009 to 2013. He is currently a Professor and the Vice Director of Intelligent Robotics Institute, Beijing Institute of Technology. His research interests are focused on bio-inspired robotics, biomimetics, micro-nano manipulation, visual tracking, etc. Dr. Shi won the National Natural Science Funds for Excellent Young Scholar, Technical Invention Award of Chinese Association of Automation and Beijing Nova Program, and he has published more than 90 papers in top journals like Nature Machine Intelligence, PNAS, IEEE Trans. Robotics, and has granted more than 40 domestic and international patents. He received the Best Journal Paper Award of Advanced Robotics (2015), and Best Paper Award in Automation of ICRA 2021. He has delivered more than 10 invited talks for international and domestic conferences, and is currently the Associate Editor of IEEE Transactions on Robotics, IEEE Transactions on Medical Robotics and Bionics, and Cyborg and Bionic Systems. Additionally, he has served as Associate Editor of IEEE ICRA and IROS, committee chairs (e.g., General Chair, Program Chair, Organizing Chair) for 10 international conferences like IEEE CBS 2025, IEEE RCAR 2024, IEEE IROS 2025.
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Category Conferences - Seminars
Event Language English

Robotics has become a crucial tool for the study of animal behavior, showing promises in the discovery of novel traits in organisms. It is of great scientific significance for utilizing biomimetic robots to enable autonomous behavioral interactions in animal experiments. Thanks to the development of information technology, existing biomimetic robots are able to perform basic behavioral interactions. However, state-of-the-art interactive robots still struggle to convey multi-level, heterogeneous information within biological systems, making it challenging to effectively mediate the complex interaction process. This report focuses on the research progress of the research team at Beijing Institute of Technology (BIT) in the areas of robot-animal interaction, which mainly includes emotion perception and behavior prediction in rats, data-driven robot social behavior generation and planning, object detection and tracking control in robot-rat interaction, and modulating behavioral emotional states of rats during the interaction process. These studies hold great potential for applications in the field of neuroscience (e.g., animal behavior research).

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Tags

robotics biomimetic animal behaviors

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