Visionary Scholar Professor Xilin Chen Sheds Light on Non-Verbal Communication for Human-Robot Interaction

6 Mar 2024
Professor Xilin Chen shares his expertise on how robots can become synchronised with humans in the area of non-verbal communication during the distinguished lecture.
During the group discussion, students gain invaluable insights and tips from Professor Xilin Chen on how to conduct quality research.

Professor Xilin Chen, a prominent scholar at the Chinese Academy of Sciences (CAS), delivered an enlightening lecture titled "Understanding Non-Verbal Communication: Decoding Facial Expressions and Gestures for Seamless Human-Robot Interaction” on 19 February 2024.

In a world where robotics and artificial intelligence are increasingly integrated into society, Professor Chen emphasised the ever-growing significance of robotics in our daily lives and stressed the critical role of robots in comprehending non-verbal human cues. With the advancements in natural language processing (NLP), robots have made strides in comprehending spoken language, but Professor Chen pointed out human communication is multifaceted, often relying heavily on the silent language of our facial expressions and body movements.

Beyond being mere supplements to verbal communication, non-verbal channels play a pivotal role in emphasising key points and conveying genuine attitudes. Professor Chen underscored the significance of these cues, especially in the realm of human-centred robotics, where the ability of robots to interpret such signals can greatly enhance interaction efficiency and user experience.

Following the lecture, our research postgraduate students seized the opportunity to engage with Professor Chen in a stimulating discussion about “How to Do Quality Research?”. This exchange not only enriched their academic pursuits but also opened doors for personal growth opportunities within China. The students expressed deep gratitude for the invaluable knowledge and wisdom imparted by Professor Chen.

As a distinguished Fellow of acclaimed prestigious institutions such as the Association of Computing Machinery (ACM), Institute of Electrical and Electronics Engineers (IEEE), International Association for Pattern Recognition (IAPR), and China Computer Federation (CCF), Professor Chen continues to pioneer in his field, pushing the boundaries of computer vision and its impact on future technologies.


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