Human-AI Collaborative Design (HI-CoDe) Group

Assistant Professor Song Binyang

HI-CoDe (Human-AI Collaborative Design)
Research Vision
The research group aims to harness generative AI to optimise robot design and improve human-robot collaboration

Core Research Areas
  • Data-driven robotic linkage design leveraging Generative AI
  • Topology optimisation and Generative AI to advance robotic design
  • AI-driven drone fleet design and operations
  • Design of interactive and adaptable robots for enhanced human-robot collaboration such as adaptable robots and large language model-based system
Applications & Impact
  • AI can increase efficiency of design of complex and optimised robotic linkage mechanisms
  • Optimised topology enables robots to have lightweight structures, material efficiency, improved mechanical performance, customisation for specific applications, integration with additive manufacturing, enhanced motion and dynamics, cost reduction and more.
  • Drones designed or integrated with AI can lower costs and improve efficiency in applications such as logistics
  • Adaptable robots can be tailored for different users, enabling scalable customisation and personalisation