A rehabilitation device for upper limb rehabilitation after stroke
Lightweight, portable robotic arm for post-stroke rehabilitation
Principal Investigator: Dr HU Xiaoling, Department of Biomedical Engineering
Combining neuro-muscular electrical stimulation, soft pneumatic artificial muscle and exoskeleton, the device can sense the electromyogram (EMG) signals of paretic muscles and provide voluntary motor intention control for users. It thus offers effective self-help and mobile upper limb rehabilitation for patients after stroke. Its soft and flexible design makes it lightweight, compact and comfortable to wear, enabling patients to use it for training anywhere, anytime.
Combining neuro-muscular electrical stimulation, soft pneumatic artificial muscle and exoskeleton, the device can sense the electromyogram (EMG) signals of paretic muscles and provide voluntary motor intention control for users. It thus offers effective self-help and mobile upper limb rehabilitation for patients after stroke. Its soft and flexible design makes it lightweight, compact and comfortable to wear, enabling patients to use it for training anywhere, anytime.
Integrating computer vision with machine learning for automated object detection
Eyes and intelligence for construction site management
Principal Investigator: Prof. Heng LI, Department of Building and Real Estate
PI is a vision-based AI-enabled construction site management system that uses computer vision and deep learning to perform laborious management tasks. The smart system can be adopted in almost all aspects of site management including resource allocation, quality control, safety and progress management, greatly relieving the managers and inspectors of their heavy burden.
PI is a vision-based AI-enabled construction site management system that uses computer vision and deep learning to perform laborious management tasks. The smart system can be adopted in almost all aspects of site management including resource allocation, quality control, safety and progress management, greatly relieving the managers and inspectors of their heavy burden.
A smart robotic warehouse solution that refines warehouse picking and replenishment operations
Smart and cost-efficient solution for congested warehouse space
Principal Investigator: Dr Carman LEE Ka-man, Department of Industrial and Systems Engineering
The smart system applies Industrial Internet of Things (IoT), cloud computing and robotics to redefine logistics operations and warehouse picking and replenishment processes. Using autonomous mobile robots and advanced intelligent robotic algorithms, it revolutionizes the conventional labour-intensive man-to-goods procedures by adopting goods-to-man automation operation. The system of high operational efficiency also helps enhance labour and space utilization in warehousing.
The smart system applies Industrial Internet of Things (IoT), cloud computing and robotics to redefine logistics operations and warehouse picking and replenishment processes. Using autonomous mobile robots and advanced intelligent robotic algorithms, it revolutionizes the conventional labour-intensive man-to-goods procedures by adopting goods-to-man automation operation. The system of high operational efficiency also helps enhance labour and space utilization in warehousing.
Improving inspection accuracy and flight safety
Principal Investigator: Dr Stephen O’BRIEN, Aviation Services Research Centre
“Pitting” is a surface defect found on critical jet engine components of complex shapes and different sizes. The newly-developed automated system by Aviation Services Research Centre (ASRC) of PolyU employs robotics, artificial intelligence and deep learning, image processing, 3D scanning, optical metrology, and non-destructive testing technologies to identify and measure “corrosive pitting” such that precise information such as pitting position, depth and diameter can be obtained.
“Pitting” is a surface defect found on critical jet engine components of complex shapes and different sizes. The newly-developed automated system by Aviation Services Research Centre (ASRC) of PolyU employs robotics, artificial intelligence and deep learning, image processing, 3D scanning, optical metrology, and non-destructive testing technologies to identify and measure “corrosive pitting” such that precise information such as pitting position, depth and diameter can be obtained.
A low-cost and energy-efficient technology to make micro- and nano-lenses
Principal Investigator: Dr Lihua LI, Department of Industrial and Systems Engineering
The novel micro-embossing equipment with graphite-like carbon film can produce micron-level micro-structural optical components in glass using self-developed heating technology and innovative mould design. The equipment enables rapid and accurate impression of small aspheric lens and fine optical microstructures such as microlens array.
The novel micro-embossing equipment with graphite-like carbon film can produce micron-level micro-structural optical components in glass using self-developed heating technology and innovative mould design. The equipment enables rapid and accurate impression of small aspheric lens and fine optical microstructures such as microlens array.
