Research

 

 

 

 

Research Statement

 

 

Philosophy of Research

 

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.

 

 

Focuses of Research

 

As shown in the Figure below, my research is centred around two keywords which are: intelligence and motion. My basic research is focused on artificial intelligence while my applied research is focused on both humanoid robots and autonomous driving

 

 

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Research Achievements

 

My research achievement in motion-centric research includes the invention of the independent actuation of any complex robot systems by a single motor.

 

My research achievements in intelligence-centric research include:

  • The discovery and proof of the 3D projective equation in binocular vision. This finding has resulted in the general solution for X-Eye coordination in autonomous robots.
  • The inverse strategy of 3D reconstruction in binocular vision.
  • The inverse strategy of undertaking the operations of matching in binocular vision.
  • The inverse strategy of undertaking motion planning in any robot/vehicle systems.
  • The large knowledge model which embraces both symbolic representations and numeric representations.
  • A deterministic solution underlying the transformation from image or photo to 3D scene.
  • The formulation of the true foundation of artificial intelligence which must be Mind-Centric.

 

My accumulated achievements over the years have contributed to the unprecedent publication of:

  • One book in robotics which links perception to action in 2003.
  • One book in artificial intelligence which establishes the true foundation of AI in 2021.

 

 

 

 

 

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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