This workshop is dedicated to discussing computational methods for sensing and recognition of nonverbal cues and internal states in the wild to realize cooperative intelligence between humans and intelligent systems. We gather researchers from different expertise, yet having the common goal, motivation, and resolve to explore and tackle this delicate issue considering the practicality of industrial applications. We are calling for papers to discuss novel methods to realize human-robot cooperative intelligence by sensing and understanding humans’ behavior, internal states, and to generate empathetic interactions. 

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. We invite authors to submit unpublished papers (2-4 pages excluding references) to our workshop, to be presented at a workshop session upon acceptance. Submissions will undergo a peer-review process by the workshop's program committee and accepted papers will be invited to present their works at the workshop.

We are pleased to announce that award will be given to the best paper accepted by this workshop.

Presentation Format

Accepted papers should be presented in three-way presentation approach to foster active participation

• Spotlight talks (6 mins talk, Q&A in the poster session)
• In-person A0 posters for in-depth discussions
• Short pre-recorded videos (about 2 minutes) to be uploaded on the workshop webpage

Publication Format

Authors are recommended to archive their papers and inform workshop organizers once this procedure is completed. Accepted papers which have been archived will be hosted on the workshop webpage.

• Link to arXiv: https://info.arxiv.org/help/submit/index.html

As with the previous IROS2024 workshop, extensions of the papers presented at this ICRA2025 workshop will be invited to submit to a special issue journal to-be-announced at a later date.

List of Topics

• Human internal state inference, e.g., cognitive, emotional, intention models.
• Recognition of nonverbal cues, e.g., gaze and attention, body language, para-language.
• Multi-modal sensing fusion for scene perception.
• Nonverbal behavior generation for robots/agents, e.g., gaze salience, gesture.
• Synchronization of nonverbal and verbal behavior
• Learning algorithms, e.g., cross-embodiment and cross-context learning, imitation learning.
• Generative and adversarial algorithms to enhance human-robot interaction, e.g., LLMs, diffusion models, VLMs.
• Empathetic interaction between humans and intelligent systems.
• Robust sensing of facial and body key points.
• Social interaction dynamics modeling, e.g., harmony level, engagements.
• Personalization of intelligent systems from nonverbal cues and trust evaluation.
• Applications of cooperative intelligence in the wild.

Organizing Committees

• Jouh Yeong Chew, Honda Research Institute Japan, jouhyeong.chew@jp.honda-ri.com (point of contact)
• Andreas Bulling, University of Stuttgart, andreas.bulling@vis.uni-stuttgart.de
• Daisuke Kurabayashi, Institute of Science Tokyo (formerly Tokyo Institute of Technology), kurabayashi.d.aa@m.titech.ac.jp
• Eiichi Yoshida, Tokyo University of Science, eiichi.yoshida@rs.tus.ac.jp
• Iolanda Leite, KTH Royal Institute of Technology, iolanda@kth.se
• Sarah Gillet, KTH Royal Institute of Technology, sgillet@kth.se
• Siyu Tang, ETH Z¨urich, siyu.tang@inf.ethz.ch
• Xucong Zhang, TU Delft, xucong.zhang@tudelft.nl

Invited Speakers

• Tetsuya Ogata, Waseda University, Japan
• Marynel Vázquez, Yale University, USA
• Sehoon Ha, Gergia Institute of Technology, USA
• Tetsunari Inamura, Tamagawa University, Japan

Publication

Papers accepted and presented at this workshop will be archived by the workshop's GitHub repository. See the previous year's repository https://nocworkshop.github.io/2024/

As with the previous IROS2024 workshop, extensions of the papers presented at this ICRA2025 workshop will be invited to submit to a special issue journal to-be-announced at a later date.

Contact

All questions about submissions should be emailed to Jouh Yeong Chew, Honda Research Institute Japan, jouhyeong.chew@jp.honda-ri.com

Sponsors

• Honda Research Institute Japan
• IEEE Technical Committee for Cognitive Robotics