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NTU International Joint Laboratory Initiative

  • Powered by GCEEC to Advance Global Research Collaboration and Industrial Innovation

     

    The NTU Intelligent Perception Joint Laboratory is a groundbreaking cross-border R&D initiative jointly developed by Nanyang Technological University (NTU), Singapore, and a high-level university in Shenzhen, China, under the guidance and coordination of the Global Cultural and Educational Exchange Committee (GCEEC). This project exemplifies GCEEC’s mission to facilitate global cooperation in science, technology, and education through the creation of international joint laboratories and research centers.

Vision and Purpose

The joint lab serves as a dynamic platform for scientific innovation, advanced engineering, and technology transfer in fields critical to the future of intelligent systems and sustainable development. With a focus on real-world applicability and interdisciplinary integration, the lab supports the end-to-end transformation of research into industry-ready solutions.

Laboratory Structure and Resources

  • The joint laboratory operates across two locations:

    1. 1. NTU Campus in Singapore, anchored by the Smart Perception and Automatic Control Engineering (SPACE) Lab at CleanTech Park, equipped with robotics simulation platforms, AI modeling tools, and multimodal sensing systems.
    2. 2. Shenzhen Campus, situated within an advanced research environment with strong vocational education infrastructure and extensive access to enterprise collaboration networks.
    3.  

    The laboratory adopts a “1+1+N+M” model:

    • 1+1: Strategic co-leadership by NTU and the Shenzhen university.
    • N: Research teams, academic committees, and technical platforms from both institutions.
    • M: Industrial stakeholders, technology incubators, and investment partners supporting commercialization and pilot deployment

Key Research Areas

  • 1

    AI-empowered Robotics

    Development of humanoid robots equipped with real-time reinforcement learning, multimodal perception, and natural language interaction capabilities.

  • 2

    3D Environment Modeling and Digital Twin Systems

    Creation of intelligent mapping platforms using LiDAR, UAVs, infrared thermal imaging, and BIM technologies for smart city and industrial applications.

  • 3

    Multimodal Sensor Fusion & Control Optimization

    Research in environment-adaptive sensing and kinematics-aware reinforcement learning to enhance robotic responsiveness and energy efficiency.

  • 4

    Structural Health Monitoring

    AI-driven defect detection and predictive maintenance for buildings, bridges, and critical infrastructure.

     

  • 5

    Green Technologies and Urban Sustainability

    1. Integration of environmental sensors for air quality, carbon emissions, and ecological restoration, enabling data-driven urban management.

Cross-Border Collaboration & Talent Exchange

The initiative supports two-way mobility of researchers, graduate students, and technical staff. Joint academic training programs, workshops, and exchange visits will strengthen academic integration and cross-cultural collaboration. NTU’s high-maturity R&D outputs will be matched with Chinese industry partners to drive product incubation, licensing, and scalable deployment.

Industrialization & Technology Transfer

The lab aims to serve as a springboard for industrial applications through joint development projects, enterprise collaborations, and public-private partnerships. Key focus areas include: Robotics and automation for manufacturing and logistics; Smart infrastructure monitoring and digital urban planning; Clean energy and AI-enabled sustainability solutions; Deep-tech incubation and start-up acceleration.

Strategic Importance

This international collaboration exemplifies GCEEC’s role in bridging world-class research institutions and applied innovation ecosystems. By combining NTU’s cutting-edge research capabilities with Shenzhen’s industrial depth and rapid prototyping environment, the lab supports a globally replicable model for joint R&D platforms.