2026 29th International Conference on Computer
Supported Cooperative Work in Design (CSCWD 2026)
May 13 - 15, 2026, Fuzhou, China

Organized by

Fuyao University of Science & Technology
CSCWD International Working Group

Co-Sponsored by

IEEE SMC Society (pending approval)

General Conference Chair

Weiming Shen

General Conference Co-Chairs

Jano de Souza
Amy Trappey
Luis Camarinha-Matos
Peter Kropf
Hugo Paredes

Program Committee Co-Chairs

Jean-Paul Barthès
Junzhou Luo
Yanjun Shi

Publication Chair

Jinghui Zhang

Special Session Chair

Haibin Zhu

Finance Chair / Treasurer

Kunkun Peng

Local Arrangement Chair

Luyang Hou
Rong Xie

International Steering Committee

Co-Chairs

Jean-Paul Barthès
Junzhou Luo
Weiming Shen

Secretary

Jinghui Zhang
Kunkun Peng

Members

Marie-Hélène Abel
Pedro Antunes
Marcos Borges
Kuo-Ming Chao
Gang Chen
Jano de Souza
Susan Finger
Giancarlo Fortino
Liang Gao
Ning Gu
Anne James
Peter Kropf
Weidong Li
Xiaoping P. Liu
Xiaozhen Mi
Hugo Paredes
José A. Pino
Yanjun Shi
Amy Trappey
Adriana Vivacqua
Chunsheng Yang
Jianming Yong
Qinghua Zheng

Special Sessions

AI-Driven Human/Humanoid Robot Collaboration and Applications
  • Jing Ma, Auckland University of Technology, jing.ma@aut.ac.nz
  • Luyang Hou, Fuyao University of Science and Technology, Luyang.hou@fyust.edu.cn
  • Yanjun Shi, Dalian University of Technology, syj@ieee.org
  • Abstract
    This special session aims to bring together researchers and practitioners from academia and industry to present their latest advancements in intelligent systems and robotics, with a particular focus on AI-integrated intelligent systems, including mobile robots, explainable artificial intelligence (XAI), and AI applications in software engineering. As intelligent agents and robots increasingly operate in dynamic, human-centric environments—from automated warehouses to software testing pipelines—challenges in explainability, adaptability, and coordination become central to their development and deployment.
    The session invites contributions that address these challenges through novel AI methods, system architectures, and real-world applications, especially in contexts such as smart logistics, human-robot collaboration, multi-agent systems, and AI-enhanced development environments.
    Topics of Interest include (but are not limited to):
  • AI in mobile robot navigation and warehouse automation
  • Explainable AI (XAI) in robotics and autonomous systems
  • Humanoid robot perception, interaction, and control
  • Multi-agent systems for coordination and task allocation
  • AI-assisted software testing and automated debugging
  • Human-robot collaboration in dynamic environments
  • Simulation, digital twins, and AI-driven robotics modeling
  • Machine learning for predictive maintenance in robotics
  • Robotics and intelligent systems for Industry 4.0
  • Trust, transparency, and ethics in intelligent systems
  • Data and knowledge driven multi-human-robot system