Chonnam National University College of AI Convergence Moves to Lead Next-Generation "Physical AI"

The College of AI Convergence at Chonnam National University visited Japan from January 28-31 to benchmark education, research, and industry-academia collaboration practices in the field of Physical AI at Ritsumeikan University and Kansai University. Provided by Chonnam National University

The College of AI Convergence at Chonnam National University is expanding its research horizons into the field of Physical AI, which combines robots, sensors, biosignals, and human-robot interaction (HRI), as it moves to secure a leading position in this next-generation core AI domain.

According to Chonnam National University on February 10, the College of AI Convergence visited Japan from January 28 to 31 to benchmark operational models of education, research, and industry-academia collaboration in the field of Physical AI at Ritsumeikan University and Kansai University.

This visit was carried out as part of the Glocal University 30 project. It was organized to analyze best practices at leading overseas universities in the Physical AI field, which is drawing attention as a next-generation core technology encompassing robots, artificial intelligence (AI), sensors, biosignals, and human-robot interaction (HRI), and to reflect these insights in the College of AI Convergence’s mid- to long-term development strategy at Chonnam National University.

The delegation, composed of faculty and staff members from the College of AI Convergence, visited Ritsumeikan University to attend a thesis presentation session by graduate students working on Physical AI, and held in-depth discussions on research achievements at each university and the potential for future collaboration. In particular, by examining curricula design, research organization management, and industry-academia collaboration-based demonstration research cases centered on laboratories in the fields of robotics, AI, and sensing, they were able to directly observe convergence research systems operating at a global level.

At Kansai University, which they visited next, cases were introduced in which AI is applied to education and research not only in engineering but also in the field of business administration. Through meetings with faculty members of the Department of Business Administration at Kansai University, the delegation confirmed how AI is being utilized across business administration, including data-driven decision-making, business strategy analysis, and organizational management.

In particular, the operational model in which AI technologies are not confined to specific engineering fields but are extended into management and social sciences, and are connected to convergence education and practice-oriented research, offered important implications for expanding the educational and research scope of the College of AI Convergence. Through this, the College of AI Convergence at Chonnam National University was able to significantly broaden the range of comparisons and analyses of AI research models that span basic research, applied research, and industrial linkages.

A representative of the College of AI Convergence at Chonnam National University stated, "Through this benchmarking visit to universities in Japan, we were able to gain a broad understanding of advanced operational models for education, research, and industry-academia collaboration in the Physical AI field, which goes beyond software-centered AI to combine robots, sensors, biosignals, and human-robot interaction," adding, "Based on the outcomes of this visit, we plan to gradually promote international joint research, curriculum advancement, and the expansion of global cooperation in connection with the Glocal University 30 project."

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