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National University of Singapore
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  • Offer Profile
  • Social Robotics Laboratory (SRL) is dedicated in research and development in making social robots ubiquitous parts of our day to day lives and bridging across the physical and virtual space as well as the embodiment of complementary spaces. Social Robots are able to interact and integrate seamlessly with the virtual world and at the same time, they can be the physical manifestations of the virtual world. We are to work with distinguished individuals and leading research groups internationally to make social robots available for the betterment of human life, and social robotics a subject of creativity and imagination. The main research thrusts include social robotics for education, healthcare and entertainment.  
Product Portfolio
  • Research/Projects

    • Control for Offshore Oil and Gas Platforms

    • Recent years have seen the formation and growth of the global deepwater offshore industry, which has been driven by increased demand for oil and gas stemming from years of economic growth, reduction in production of existing hydrocarbon fields, and depleting shallow-water reserves. These factors have encouraged operators to invest billions annually chasing this offshore frontier and the development of floating production and subsea systems as solutions for deepwater hydrocarbon extraction.
      Currently, 15% of total offshore oil production is carried out in deep waters, and this proportion is expected to rise to 20% in the next few years. The harsher marine environment and need for subsea production systems in remote deepwater developments opens a set of challenges and opportunities for the control theorist and engineer.
    • Social Robots: Breathing Life into Machine

    • This project aims to develop intelligent and socially aware robots able to interact and communicate with humans, and even live among humans. Robots will no longer just be industrial machines but companions too. Possible duties include stay-at-home companions for the elderly and medical robots.

    • Interactive Robotic Pet

    • In this project, we focus on the development of a few selected modules, drawing inspiration from and mimicking human social behaviors, to make robots sociable and to push towards effective interactions between humans and robots. The modules we have developed include the recognition of human expression, an expressive robotic face, sound localization, touch reaction, wireless communications and conversation.

    • GeNUS Humanoid

    • MaNUS Humanoid

    • Interactive Robot Usher (IRU)

    • Expressive Robot Face

    • Robot falling in love

    • Lovotics = Love + Robotics

      The Human & robot may fall in Love one day
      Chat with Lovotic, The robot which is located in the National university of Singapore and may fall in love by artificial intelligence.

    • 3D HEAD

    • Talking heads are anthropomorphic representations of a software agent used to facilitate interaction between humans and the agent. They can be thought of as virtual humans capable of carrying on conversations with humans by both understanding and producing facial expressions and speech. The issues to be dealt with for the creating such agents span two major areas of research namely animation and AI. With regard to the design of conversational agents, the problems faced are similar to the issues in the Natural Language Processing of AI. AIML, a state-of-the-art technology which attempts to overcome these issues has been used for the design of the brain of the agent developed in this project. It implements a pattern-matching algorithm and gives the user a great amount of functionality by offering tags which helps to make the agent seem context aware and intelligent. Efficient visual presentation of this agent is made possible by the use of superior facial deformation techniques and scripting languages which provide the user with a high level view of the animations that can be realized.
    • Facial Expression Recognition

    • This is a real time facial expression recognition system. Initially, a front view image of the tester's neutral face is captured. This image is processed to detect the tester's face region, extract the eyebrows, eyes, nose and mouth features. The features location are then mapped to the real time video according to the video's resolution. Once the initialization is completed, the tester can express his emotion freely. The feature points can be predicted and tracked frame by frame using Kalman filter and Lucas-Kanade optical flow method. The displacement and velocity of each feature points are recorded at each frame. Once a expression is occur, the detection system will choose the maximum value among all the normal dot products and make a judgement displaced at the video. When one expression is over, the tester can expression his following emotions or re-initial the system if any tracker is lost.
    • Brain game

    • In this project, we aim to develop a low cost, easy to use, and accurate EEG monitoring system. Furthermore, the DIY EEG module will be used in a Brain Computer Interface (BCI) to let people play computer games by simply thinking.

    • Mind Robotics

    • Objective
      Mind Robotics aim to develop a system which analyze and extract features from brain signals for the communication and control of robots. In a preliminary stage, we already designed a prototype of two channel EEG acquisition equipment with novel active electrodes and wireless communication module.