Summary of SGInnovate national robotics programme tech talk

Posted on August 18, 2025

Robotic tech talk

On Aug 18, 2025, I attended the robotic tech talk to learn the status and knowledge of roboic in Singapore. SGInnovate NRF tech talk. The take way from the workshop are:

  • Understanding the situation of Singapore robotic goverment support and industry development

  • Learning robotic development: simulation => physical deployment

  • Development tool for simulation: particularlly ROS 2. As a AI/ML algorithm and software background, it is interesting to study how to integrate ROS & AI/ML model

Summary of tech talk

Based on the images provided, here is a summary of the meeting content, which appears to be focused on the state of robotics in Singapore.

Key Themes:

  • Singapore’s Adoption of Robotics: Singapore is a major global player in robotics adoption. As of 2024, Singapore has a high robot density with 770 robots per 10,000 workers, making it the second-largest adopter of robotics in the world, behind the Republic of Korea. This is significantly higher than the average global robot density of 162 per 10,000 workers.

  • Economic Impact and Growth: The robotics sector is a key driver of Singapore’s economy. The revenue of the robotics sector is expected to grow by approximately 20% from 2025 to 2029, representing an estimated increase of USD 75 million. The presentation highlights a substantial impact on the medical, electronics, and logistics sectors over the past decade. A pie chart shows shifts in revenue share from 2016 to 2025, with medical and electric/electronic sectors seeing significant growth in revenue share, while logistics’ share has declined.

  • Strategic Focus and Initiatives: The presentation mentions SGInnovate, a key organization in Singapore’s deep tech ecosystem. Its mission is “to translate today’s technologies into tomorrow’s opportunities.” Key figures for SGInnovate as of March 2024 include:
    • Over 80 portfolio companies.
    • S$85 million invested.
    • A community of over 155,000 strong.
    • Catalyzing over S$1.2 billion in follow-on investments.
    • It is described as Singapore’s “only one-stop gateway for Deep Tech learning and career development.”

    The presentation also outlines Singapore’s Research Innovation & Enterprise 2025 masterplan, which focuses on four strategic domains:

    • Human Health & Potential
    • Smart Nation & Digital Economy
    • Urban Solutions & Sustainability
    • Manufacturing, Trade & Connectivity
  • Skills and Career Opportunities: Robotics professionals are in high demand in Singapore, but there is a shortage of available talent. The technical skills needed to work with robotics systems are categorized into:
    • Designing
    • Programming
    • Assembly & Implementation
    • Maintenance & Troubleshooting

    Industry sectors with high demand for robotics professionals include:

    • Healthcare (e.g., assistive robots)
    • Logistics and Supply Chain Management (e.g., warehouse automation)
    • Retail, Hospitality and Entertainment (e.g., customer service robots)
    • Advanced Manufacturing (e.g., 3D printing and precise assembly)
  • Physical vs. Simulation-Based Workspaces: A comparison table highlights the advantages of simulation-based robotic workspaces, which are increasingly important for design, testing, and optimization. Key advantages include:
    • Cost: Lower (software licenses vs. physical components).
    • Time: Faster (quick iteration in a virtual environment).
    • Safety: No risk of physical injury.
    • Flexibility: High (easy and instant changes).

    However, physical workspaces offer “real-world accuracy” for final validation and production.

  • Training and Education: The meeting seems to be promoting a course, possibly the “SIMTech SCPT in Industrial Automation.” The course features:
    • Broad and deep knowledge with a focus on “why.”
    • Hands-on learning combining theory and practical projects.
    • Focused technical expertise.

    Specific topics covered in the course include automation design and simulation, robotic system planning, and programming using tools like RoboDK and ROS, with hands-on experience in simulation tools.

  • Robot Operating System (ROS), defining it in three key ways:
    • It is a middleware software used to build advanced robotics solutions.
    • It provides a library of free software components and tools for robotic development.
    • It is a major international open-source project with hundreds of thousands of users.
  • showcases open-source projects built on the ROS framework, specifically ROS 2:
    • NAV 2: A framework for navigation in mobile or surface robots.
    • ROS 2 Control: A framework for developing hardware drivers.
    • MoveIt2: A framework for robotic manipulation, used for developing commercial applications, prototyping, and benchmarking algorithms.
    • Open-RMF: A software system that allows different robot fleets to work together and interact with building infrastructure.