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Video
The seminar began with a warm welcome by Prof. ZHANG Weixiong, Associate Director of PAIR, followed by a brief introduction of the speaker by Prof. ZHANG Chengqi, Chair Professor of Artificial Intelligence. Prof. Liu kick-started his presentation by outlining the key milestones in the evolution of robotics, and pointed out that human-centred intelligent robots should be able to co-exist, cooperate and collaborate with humans. He stated that robotics is a truly interdisciplinary field that combines engineering, science and humanities. Next, through a series of case studies, Prof. Liu examined how intelligent robots have been designed to work alongside humans in various applications, including civil infrastructure maintenance, construction, and manufacturing. He then discussed the dynamics of collaboration between humans and robots, and examined issues such as trust, computational modelling, physical and cognitive workload, brain-robot interface and human-centred design. By reflecting on the lessons learnt from these case studies, Prof. Liu highlighted both successes and challenges. At the end of his presentation, Prof. Liu emphasised that human-robot teaming is an interdisciplinary field. He also pointed out some areas for further development in the field, highlighting the many opportunities in robotics.
Event date: 10/10/2024
Speaker: Prof. LIU Dikai
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Computing, Data Science and Artificial Intelligence and Mechanical Engineering
- Keywords:
- Human-robot interaction Artificial intelligence Robotics
- Resource Type:
- Video
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Video
The seminar commenced with a welcome speech and speaker introduction by Prof. CHEN Qingyan, Director of the PolyU Academy for Interdisciplinary Research (PAIR). In his presentation, Prof. Cao stated that urban environment engineering seeks to apply system engineering to solve complex urban problems. He highlighted that interdisciplinary research that combines scientific and mathematical approaches is crucial for understanding the mechanisms and laws concerning the complex interactions between humans and the ecological environment. Prof. Cao emphasised that the modelling of urban pollution involves a mix of techniques, including remote sensing, big data, computational simulation, the Internet of Things, artificial intelligence, digital twins, etc. He gave various project examples to explain how different techniques can be used for scientific monitoring, fast prediction, assessment and regulation of urban pollution. To conclude, Prof. Cao pointed out that advancements in urban environment modelling and intelligent control can build the scientific foundation for sustainable urban development.
Event date: 22/05/2024
Speaker: Prof. CAO Shi-Jie
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Environmental Engineering
- Keywords:
- Urban ecology (Sociology) Urbanization -- Environmental aspects Urban pollution
- Resource Type:
- Video
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Courseware
Stanford Engineering Everywhere (SEE) expands the Stanford experience to students and educators online and at no charge. A computer and an Internet connection are all you need. The SEE course portfolio includes one of Stanford's most popular sequences: the three-course Introduction to Computer Science, taken by the majority of Stanford’s undergraduates, as well as more advanced courses in artificial intelligence and electrical engineering.
- Course related:
- EE1D01 Electrical Science for Everyone
- Subjects:
- Biomedical Engineering, Electronic and Information Engineering, Mechanical Engineering, and Computing, Data Science and Artificial Intelligence
- Keywords:
- Engineering Computer science
- Resource Type:
- Courseware
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Video
People have been grappling with the question of artificial creativity -- alongside the question of artificial intelligence -- for over 170 years. For instance, could we program machines to create high quality original music? And if we do, is it the machine or the programmer that exhibits creativity? Gil Weinberg investigates this creative conundrum.
- Subjects:
- Electronic and Information Engineering
- Keywords:
- Robotics Artificial intelligence
- Resource Type:
- Video
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e-journal
This Journal is devoted to the advancement of the applied science and technology of airborne flight through the dissemination of original archival papers describing significant advances in aircraft, the operation of aircraft, and applications of aircraft technology to other fields. The Journal publishes qualified papers on aircraft systems, air transportation, air traffic management, and multidisciplinary design optimization of aircraft, flight mechanics, flight and ground testing, applied computational fluid dynamics, flight safety, weather and noise hazards, human factors, airport design, airline operations, application of computers to aircraft including artificial intelligence/expert systems, production methods, engineering economic analyses, affordability, reliability, maintainability, and logistics support, integration of propulsion and control systems into aircraft design and operations, aircraft aerodynamics (including unsteady aerodynamics), structural design/dynamics , aeroelasticity, and aeroacoustics.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Aeronautics
- Resource Type:
- e-journal