Intelligent multi-agent dispatching solution for large-scale sorting AGVs


The intelligent dispatching solution developed by FLAIR is able to perform task allocation and scheduling efficiently according to the order system, to find optimal plan for robots based on real-time traffic and information exchange and to provide a digital twin environment for AGV simulation and performance dashboard.

  • Intelligent multi-agent dispatching solution for large-scale sorting AGVs 0
Commercialisation opportunities
Technology licensing agreement
Problem addressed

Due to the high rental and labour costs, automation has been introduced into warehouse management for recent years. To make the system smarter, a more efficient path planning solution could further optimize the overall throughput and/or tardiness which directly minimize costs and maximize productivity.

  • Online task allocation and scheduling based on the feedback from robots in response to the current situation
  • Scalable and real-time path planning for robots using reinforcement learning based on current traffic and information exchange
  • Closer-to-reality simulator to create a digital twin environment with different key parameter configuration for performance analysis
Key impact
  • The solution is flexible and can be deployed to various AGV robot in different scales
  • The real-time path planning and online scheduling make error handling much easier
  • The solution can handle larger and more complex scenarios than existing methods
  • Logistics and Warehouse Management
  • Stores (storage) and Distribution Centers

The Hong Kong Industrial Artificial Intelligence & Robotics Centre (FLAIR) is established by the Hong Kong Productivity Council (HKPC) at the Hong Kong Science Park and is part of AIR@InnoHK, which is one of the two world-class research clusters being established by InnoHK Clusters of the HKSAR Government, to support Hong Kong in developing into an international innovation and technology hub.

FLAIR aims to engender synergy and achieve a clustering effect by attracting top-notch local, Mainland and overseas research institutions to engage in research collaboration. It will also actively approach private enterprises and industry associations for consultation and solicit their involvement in FLAIR’s work to ensure its industry orientation in addressing major R&D problems encountered by the industries in AI adoption.

As the sole founder, HKPC works together with RWTH Aachen Campus of Germany, the major collaborator of FLAIR, by bundling their strengths and repertoire of resources in technical expertise, networks, innovation and patents etc. to set up the FLAIR and support its operation.

For more information, please visit FLAIR’s website: