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7
Project Teams
52+
Professors
7+
Partner Institutions
CITR Research Center
50+
Research Members

Bringing together world-class engineers and cognitive psychology experts to break through technological barriers.

About the Center

The Center for Intelligent Team Robotics and Human–Machine Collaboration is built around artificial intelligence, integrating cross-disciplinary technologies such as robotic control, multimodal sensing, human–machine interaction, the Internet of Things, and digital twins, with a focus on smart healthcare and smart manufacturing applications.

The center is dedicated to developing intelligent robots capable of understanding their environment, making autonomous decisions, and safely collaborating with humans. Through seven sub-projects, it advances key technology research and development, system integration, standardization and validation, and real-world deployment.

At the same time, the center emphasizes human–robot trust, privacy and security, ethical considerations, and industry requirements. It also cultivates interdisciplinary talent and promotes industry–academia collaboration, enhancing Taiwan’s technological autonomy and international competitiveness in intelligent robotics.

  • Intelligent perception, semantic understanding, and AI-driven autonomous decision-making
  • Multi-robot collaborative control, communication, and intelligent scheduling
  • Digital twins, human–machine interaction, and cyber–physical integration
Explore Our Vision

Two Major Application Domains and Core Technologies

This center is built upon foundational technologies including artificial intelligence, team-based robotics, multimodal sensing, human–machine interaction, intelligent control, robot IoT, and digital twins. It focuses on two key domains—smart healthcare and smart manufacturing—to advance core technology development, system integration, standard validation, and real-world deployment.

Smart Healthcare Domain

Intelligent Human–Machine Interaction in Healthcare

Integrates large language models, multimodal sensing, semantic understanding, SOP-based task logic, and explainable AI to develop ward guidance, nursing assistance, intelligent Q&A systems, and clinical decision support.

Smart Pharmacy and Automated Operations

Develops AI virtual pharmacists, drug recognition systems, automated radiopharmaceutical dispensing, multi-robot arm collaboration, and TSDC dose compensation technologies to improve dispensing accuracy and reduce personnel exposure risks.

Bio-inspired Assistive and Rehabilitation Robotics

Integrates bio-inspired actuation, flexible pressure sensing, pneumatic lifting arms, dexterous hands, lower-limb exoskeletons, and brain–computer interfaces to support turning, standing, assisted walking, and active rehabilitation training.

Healthcare Services and Care Applications

Develops nursing collaboration robots, material delivery systems, autonomous disinfection robots, and home care robots, combined with digital twins and remote interaction technologies to enhance healthcare efficiency, service quality, and operational safety.

Smart Manufacturing Domain

AI-Driven Flexible Assembly

Combines vision-language models, long-horizon imitation learning, dual-arm manipulation, learning from demonstration, and atomic action libraries to enable robots to understand tasks and autonomously perform grasping, handling, insertion, and assembly.

Precision Sensing and Intelligent Control

Develops sub-millimeter-level hand–eye calibration, depth vision, force feedback, collision detection, and path planning technologies to enhance robot positioning accuracy, operational precision, and adaptability in complex environments.

Multi-Robot Collaboration and Smart Logistics

Integrates autonomous mobile robots, dynamic scheduling, formation control, task allocation, and low/no-code interfaces to improve material delivery, production scheduling, and rapid line change efficiency.

Digital Twins and Smart Facility Validation

Establishes a cyber-physical platform integrating 5G/6G, AI-RAN, O-RAN, robot IoT, and edge-cloud computing to support multi-robot simulation, real-time communication, AI-based visual inspection, standardized testing, and cross-domain deployment.