The main theme of our research is about living with technologies, whereby we explore techniques and applications of technologies in our natural living environment to support and improve our lifestyle. At current stage, our projects are mainly on embedding “normal” technologies in the environment (ambient intelligence) as well as using robots as a physical agent within the environment. We would like to make robot to be able to live with human and support them effectively. By “normal” we try to keep the solution realistic to be able to deploy easily instead of requiring elaborated procedure and setup. With smart devices or Internet of Things (IoT) becoming a “norm” in many modern houses, the integration and connection of the smart environment (cyber-physical systems) and robotics are hope to be able to provide realistic solutions. It is fair to say that cyber-physical systems are finding their applications in the wild. Being in the Borneo Island with the oldest rainforest in the world, we are finding interests in the applications of digital technologies in the natural habitat of the wildlife.

Self-supervised Object Discovery

We extend our interest in self-supervised learning that we have developed in human activity discovery. In this research, we aim to develop an ability in intelligent systems to be able to distinguish one object from another object, or to discover different objects in its environment without being trained in a supervised manner, i.e. without the labels. Read more>>

Unsupervised Human Activities Recognition

We are developing a framework for autonomous Human Activity Recognition suitable in our natural living environment, i.e. the sensor-less homes. The framework uses unsupervised learning approach to enable a robot, acting as a mobile sensor hub, to autonomously collect data (observe) and learn the different human activities without requiring manual (human) labeling of the data. Read more>>

Multimodal Human Intention Perception for Human Robot Interaction

One of the key abilities for effective human-robot interaction is the understanding of human intention by the robots. In this research, we started with the focus on recognition of human facial and body expressions from multimodal input signals, i.e. visual and audio. Read more>>

File-based Internet of Things (IoT) System

Major companies for IoT systems usually have their own proprietary cloud server running their server side applications to connect their smart devices. However, not all inventors are capable of hosting their cloud server to cater for large volume of users. This restricts the development of IoT systems to large companies. To address this issue and to allow amateur inventors to build IoT systems, we are developing a new form of of IoT implementation where the connectivity is achieved by exploiting public-cloud services that are widely used by general public such as OneDrive, DropBox and Google Drive. Read more>>

Self-Driving Car

Self-driving car technologies are growing and maturing. It will be part of the future transport system. In the modern world. Venturing into this domain is inline with our interest in robot navigation. In this research, we will learn the various aspects of self-driving car. Read more>>

Personal Robots

Projects in personal robots are where we learn about the different technologies associated with robotics including sensors, actuators, perception, localisation, mapping, navigation and machine intelligence. Read more>>