Center for Aging Science Researchers Receive $88M Grant to Develop AI and Robotics for Geriatric Care
2024-07-17
Project Coordinator Prof. Bert SHI (center) delivered a presentation on the research project during a media briefing at the University Grants Committee office, along with HKUST winners of Theme-based Research Scheme projects (Profs. Jack CHENG, Jidong ZHAO, Jiheng ZHANG and Jia LI).
A research project led by Prof. Bert SHI, Director of the Center for Aging Science, was awarded and approved HK$88.481 million under the Areas of Excellence (AoE) Scheme 2024/25 of the Research Grants Council (RGC). The project titled "Frontier and Human-centric AI and Robotics Technology for Geriatric Care" focuses on improving older individuals' mental and physical care by developing human-centric frontier artificial intelligence (AI) and robotics technology, which will empower both the elderly themselves and their carers to manage health and address frailty. The team includes researchers from three universities. From HKUST, the team includes Profs. Bert SHI, Tim CHENG, Fumin ZHANG, Stuart GIETEL-BASTEN, Janet HSIAO, Qifeng CHEN, Xiaojuan MA, Yangqiu SONG, Can YANG, Hao CHEN and Xiaomeng LI. It also includes Prof. Jean WOO from CUHK and Dr. Patrick CHIU and Prof. Tao YU from HKU.
Apart from the above project, two other HKUST-led research projects were also awarded the Theme-based Research Scheme (TRS) 2024/25. For further details, please refer to the HKUST press release.
Project Coordinator Prof. Bert SHI (center) delivered a presentation on the research project during a media briefing at the University Grants Committee office, along with HKUST winners of Theme-based Research Scheme projects (Profs. Jack CHENG, Jidong ZHAO, Jiheng ZHANG and Jia LI).
Project Coordinator Prof. Bert Shi (center) discusses how to improve the performance of the AI system controlling a humanoid robot so that it interacts more smoothly with patients and provides better healthcare outcomes.
Prof. Jean Woo (fifth right) with a group of elderly after her patient consultations with them
Prof. Janet Hsiao, head of the human-centric benchmarking thrust, uses machine learning methods to monitor older individuals' cognitive behavior during cognitive stimulation therapy based on their eye gaze.
Prof. Xiaojuan Ma (center), head of the human-robot interaction thrust, and students are working to develop hand gesture control for a humanoid robot.
