NUS Seed Grant Programme in Robotics
The NUS Robotics Seed Grant Programme, a new initiative by the College of Design and Engineering (CDE) aims to advance robotics innovation through cross-disciplinary collaboration. Launched in early 2024 as part of the NUS Grand Challenge on Robotics Science and Engineering, the programme was developed following a series of workshops within the NUS community. These discussions identified five key research areas where robotics can have a transformative impact:
- Healthcare - Enhancing robotic capabilities in medical and assistive care
- Personalised medicine - Integrating robotics with tailored treatment approaches
- Workforce automation - Developing intelligent robotic systems for industry
- Personal assistance - Creating robots to support daily living
- Sustainable robotics - Designing eco-friendly robotic solutions
By funding projects in these domains, the programme fosters collaboration across faculties and encourages breakthroughs that push the boundaries of robotics research. Under the programme, the Advanced Robotics Centre (ARC) at CDE will provide dedicated space and resources to facilitate cooperation and ensure the research teams can work closely together.
2025 Projects
Soft Robots for Underwater Monitoring
Developing soft robotic systems for underwater environmental monitoring using sensing, modeling, and autonomous swarm control.
Impact of Robotics in Manufacturing and Healthcare
Developing soft robotic systems for underwater environmental monitoring using sensing, modeling, and autonomous swarm control.
Intelligent Systems for Robotic Surgery Training
Developing intelligent systems to enhance robotic surgery training through real-time feedback and simulation.
AI-Driven Exoskeleton for Assisted Mobility
Designing AI-driven wearable robotic systems to support mobility for elderly and disabled users.
2026 Projects
Sustainable Electrohydraulic Soft Robots for Ecological Monitoring
Integrated modeling, sensing and autonomous swarm control for distributed underwater intelligence and ecological monitoring.
Language-Guided Motion Intelligence for Robotic Cooking
Language-guided motion intelligence enabling autonomous robotic cooking and learning human-tool interactions.
Sustainable Robots
Designed with environmental consciousness, offering minimal ecological footprints while functioning effectively in natural settings.