Research

Research Statement

Research is to make progress, but not to make production. Research is to discover better theories, but not to distort existing theories. Research is to invent better technologies, but not to engineer existing technologies. Research is to innovate better products, but not to imitate existing products. There are two driving forces behind research. One is the scientific problems which still look for better solutions. The other is the social needs which still look for better answers. Scientific problems propel basic research while social needs nurture applied research and product innovation.

As shown in the Figure below, my research is centered around two keywords which are: intelligence and motion. My proud contribution to motion-centric research includes the invention of the independent actuation of any complex robot systems by a single motor. In parallel, my proud contribution to intelligence-centric research include a) the discovery and proof of the 3D projective equation in binocular vision, b) the inverse strategy of 3D reconstruction in binocular vision, c) the inverse strategy of undertaking the operations of matching in binocular vision, d) the inverse strategy of undertaking motion planning in any robot/vehicle systems, e) the formulation of the new foundation for the third generation of artificial intelligence. In addition, I am serving as the technical advisor to the University’s team which has participated in Maritime RobotX Challenges (www.robotx.org) since 2014.

My research achievements have resulted in a) one published book in robotics which links perception to action, b) one published book in artificial intelligence which establishes the true foundation of AI, c) one SCI/SCIE-indexed journal which is historically dedicated to humanoid robotics (www.editorialmanager.com/ijhr), d) one national society (www.rss.org.sg) which is dedicated to promoting robotics in Singapore and beyond.

Last but not the least, I advocate that a faculty member’s abilities and contributions are to be evaluated according to quantity, quality, and competence of his or her teaching, research, and service. The better ways, or outcome-based ways, of assessing the quantity, quality, and competence of a faculty member’s research performance and excellence should be based on KPIs such as:

Research Quantity: The number of published research works in terms of published pages (which is more accurate than the number of the published books/papers/articles). The amount of revenue received from the sales of the published works (e.g. books).

Research Quality: The number of awards received from published works (e.g., best papers). The number of awards received from research projects (e.g., competition prizes).

Research Competence: The indicator of the return on investment (i.e., ROI) which is the ratio between the research quantity and the research spending (i.e., project funds spent). The assessment, in terms of the research leadership as well as the research challenge level, by the scientific committee in charge of research evaluation.

智能系统与机器人研究团队

智能系统与机器人研究团队是以“人形智能机器人系统”平台为核心研究领域，集自动化、智能化及应用技术为一体，采用多学科交叉互补，在智慧制造、智慧交通、智慧医疗和智慧服务等多个智能系统与机器人领域，从事高新理论技术的创新与产业化应用。我们的基础研究主要围绕机器人学科的两个关键词, 即: 运动和智能。我们重点关注的机器人运动的两大研究领域是: 智能设计和智能控制。同时, 我们重点关注的机器人智能的两大研究领域是: 认知视觉和认知听觉。在理论创新的推动下, 我们也积极从事机构、结构、外观、仿真、执行器、传感器、控制器、遥控器、视觉测量、视觉定位、视觉认知、视觉识别、语音数字化、语音符号化、语音意义化、语音知识化等领域的技术发明。

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