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  • Video 
    PAIR seminar : human-centred intelligent robotics: case studies, lessons learnt, and opportunities

    PAIR seminar : human-centred intelligent robotics: case studies, lessons learnt, and opportunities

    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:
    Mechanical Engineering and Computing, Data Science and Artificial Intelligence
    Keywords:
    Artificial intelligence Robotics Human-robot interaction
    Resource Type:
    Video
     
  • Video 
    Two-Dimensional Quantum Materials: From Pure Inorganic To Organic-inorganic Hybrid

    Two-Dimensional Quantum Materials: From Pure Inorganic To Organic-inorganic Hybrid

    In this video, it covers the topic of (1).2D layered transition metal dichalcogenides; (2) Theoretical study on opto-electronic properties of 2D materials; and (3) Molecularly thin 2D quantum ruddlesden-popper perovskites.FAST is organizing the Research at FAST Seminar Series 2021/22 in the coming months to explore collaboration opportunities within PolyU community. The series also serve as a platform for colleagues to get to know FAST researchers.

    Subjects:
    Materials Science
    Keywords:
    Two-dimensional materials Quantum chemistry
    Resource Type:
    Video
     
  • MOOC 
    Interdisciplinary Innovations for Population Ageing (Second Run)

    Interdisciplinary Innovations for Population Ageing (Second Run)

    Population ageing is a global phenomenon profoundly affecting the well-being of communities. Disciplines such as Social Sciences, Design, and Engineering offer unique, insightful innovations for ageing societies. Along with providing solutions catering to their professional niche, these disciplines achieve creative and practical innovations through interdisciplinary collaboration. This course intends to explore and examine the process of incubating innovations in these three disciplines and help the learners to appreciate the synergy created when working toward innovations by adopting an interdisciplinary approach.

    Subjects:
    Social Sciences
    Keywords:
    Older people -- Government policy Older people -- Services for Technology older people Ageing
    Resource Type:
    MOOC
     
  • e-book 
    Business Information Systems: Design an App for That

    Business Information Systems: Design an App for That

    We set out to design an introductory course governed by four themes: Give students a good idea of what a career in MIS looks like by doing MIS. Enhance the professionalism of deliverables by teaching design and usability concepts. Promote creativity by assigning projects that demand it. Teach students about cloud computing by having them do cloud computing. Students in an introductory Management Information Systems (MIS) course often ask what a career in MIS looks like. Lacking a clear vision, they make their own assumptions. Often they assume the career involves programming with little human interaction. That MIS is a technical field could not be further from the truth. MIS job descriptions typically require candidates to be able to collaborate, communicate, analyze needs and gather requirements. They also list the need for excellent written and communication skills. In other words, MIS workers are constantly interacting with other people both inside and outside the organization. They are coming up with creative solutions to business problems. This course is designed to help students get a feel for what a career in MIS would be like. Our students report that they learn more about information systems from their internships than from their IS courses. Consequently, we designed a course that looks very much like an internship—an introduction to the field followed by a substantial project. Chapter 1 begins by introducing the information systems landscape. Here we discuss all the usual suspects: the information systems triangle, the systems development life cycle, transaction systems (ERP, SCM, CRM), collaboration systems, and business intelligence systems. Other aspects of the landscape such as usability, outsourcing, database concepts and so forth are introduced throughout chapter in Chapter 2 where they fit in naturally with the flow of the project. Chapter 2 is the substantial project which runs over a number of chapters. Over the course of the semester, students plan, build, and develop a proposal for an iPhone application. They develop a very realistic mockup. They also build a website to help market and support the app. Students are engaged because the project is fun and feels real. However, they are simultaneously learning business concepts and MIS skills. Prior to the existence of this course, we were only able to give such an interesting project at the senior level. Now, even as freshmen, students have a real experience of MIS in operation. A by product of creating an engaging course is increased enrollment in the MIS major. Even students who have never heard of MIS become excited about the major and either switch majors or add it as a double major or minor. Many other books have students study tools and then do a case. By contrast, most of this book is a case. Much like the real world, we introduce tools when needed, and only to the extent needed, to get at each part of the case.

    Subjects:
    Computing, Data Science and Artificial Intelligence and Industrial and Systems Engineering
    Keywords:
    Business information services Management information systems Textbooks Application software -- Development
    Resource Type:
    e-book
     
  • MOOC 
    Decision-Making for Autonomous Systems

    Decision-Making for Autonomous Systems

    In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.

    Subjects:
    Electrical Engineering, Mechanical Engineering, and Transportation
    Keywords:
    Decision making Automobiles -- Design construction Automated vehicles
    Resource Type:
    MOOC
     
  • MOOC 
    Multi-Object Tracking for Automotive Systems

    Multi-Object Tracking for Automotive Systems

    Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.

    Subjects:
    Electrical Engineering, Mechanical Engineering, and Transportation
    Keywords:
    Automobiles -- Design construction Computer vision Automated vehicles
    Resource Type:
    MOOC
     
  • Presentation 
    Service Science Innovation Lab

    Service Science Innovation Lab

    This video was recorded at COIN / ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations, Aachen 2010. Organized by COIN FP7 Integrated Project (http://www.coin-ip.eu/) and ACTIVE FP7 Integrated Project (http://www.active-project.eu), the summer school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability through innovative software solutions and share the recent research developments from well-established researchers and educators. The main topics of the summer school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modeling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies. More about the event at http://coin-active-ss.ijs.si/

    Subjects:
    Management
    Keywords:
    Enterprise application integration (Computer systems) Internetworking (Telecommunication) Management information systems Information resources management
    Resource Type:
    Presentation
     
    OER