This innovation is equipped with an advanced sensor suite. Through the technologies of deep learning and sensor fusion, MiniMover is capable of planning suitable path with collision avoidance of obstacles in crowded and dynamic environment. Moreover, Minimover can take lift rides and pass-through doorways autonomously to carry out short-path delivery mission.

  • MiniMover 0
  • MiniMover 1
  • MiniMover 2
Technical name of innovation
Development of Enhanced Deep Learning System for Low-speed Autonomous Mobility
Commercialisation opportunities
Problem addressed

The system can address the severe shortage in human labour, handle complicated tasks that required round-the-clock processing, reduce human errors, and lower the risk of pandemic outbreak due to human contact.

  • Through unmanned delivery, last-mile delivery tasks can be performed in a more frequent and less labour-intensive way, while avoiding collision.
  • Respond to different site scenarios, including taking lift rides and pass through doorways, and move to the destination autonomously.
  • With Artificial Intelligence (AI) algorithms applied, inspection and patrolling can be performed with staff and MiniMover working together, enhancinge the operation efficiency at customised sites.
Key impact
  • Allow full customisation for different applications and scenarios.
  • Instant communication with lifts and doorways to perform delivery tasks autonomously.
  • The 2nd Asia Exhibition of Inventions Hong Kong – Silver Medal (December 2019).
  • Silver Medal in the 2021 Geneva International Exhibition of Inventions.
  • Carry out last-mile delivery among buildings, parks and warehouses
  • Perform inspection and patrol tasks
  • Provide indoor delivery services within various kind of buildings


Hong Kong Short-term Patent:


Automotive Platforms and Application Systems (APAS)

Automotive Platforms and Application Systems (APAS) R&D Centre was established in 2006 by the Innovation and Technology Commission of HKSAR Government and hosted by the Hong Kong Productivity Council. The Centre undertakes R&D programmes as well as commercialising R&D results in collaboration with industry, universities and technology institutes for the development of the APAS technology. Since its establishment, APAS R&D Centre has carried out over 100 R&D projects and focus on 3 R&D areas, Green Transportation, Smart Mobility and Intelligent Systems. To facilitate greater synergy and further enhance cost effectiveness, APAS is form part of the Hong Kong Productivity Council with effect from 1 Nov 2012.