Research

We are developing an Intelligent Omni-Directional Hybrid Vehicles (IOHEV) based on the technologies of hybrid electric, 4-Wheel drive/4-Wheel steering system and intelligent electronics. It can be applied to solve the problem of energy and emission, to maximize the efficiency of driving and to provide safety driving.

We have been developing some fundamental technologies for space robotics for many years and have made contributions in design, control, dynamics, modeling and real-time implementation of various space robotics systems.

We have developed a novel concept of mobile robot called Gyrover which is a single-wheel, gyroscopically stabilized robot, based on the principle of gyroscopic precession, as exhibited in stability of a rolling wheel.

The omni-directional kart, named “OK-1”, is a hybrid electric vehicle with technology of omni-directional steering, which is designed and developed in the Advance Robotics Lab. It is omni-directional, because it can make crab-like parallel translation and tornado-like rotation. Hence, parking becomes an easy manipulation for even a freshman of driving.

We are developing a novel concept of real-time wearable translating glasses, named intelligent glasses, which can realize real-time multilingual translation. It is useful to a tourist who does not know the local language.

This research provides a framework for abstracting human skills so as to facilitate analysis of human control, to allow machines to learn from human partners in human-machine cooperation, and to transfer skill from human to human through learning human machine interfaces.

We have developed a sensor-integrated shoe-based information gathering platform. This platform can be used for applications such as motion-based control interface, gait recognition, human identification.

Surveillance of a crowd of pedestrians in public places like squares and subway stations is a challenging issue to public security. The crisis might lurk in the motion of crowd. To deal with the above-mentioned problem, we establish a modeling approach called “crowd modeling” and have built up a series of surveillance systems for testing.

Battery management system (BMS) can not only prolong battery life-circle and assure battery functions by inspecting and estimating battery state-of-charge (SOC), state-of-function (SOF) and state-of-health (SOH), but also protect drivers and passengers from electric shock in accidents.

The HEV powertrain consists of such subsystem as engine, generator, motor, battery, etc and each subsystem has its own control system. With this increasing complexity of powertrain and the need of achieving multiple objectives, a two-level hierarchical control architecture is used.

Our goal in this project is to develop a mini-humanoid robot with a capability for transformation, 3-D motions planning with balance control, and effective real-time hand sign recognition system.

The system can recognize the driver's identity based on the learning of steering behaviors, which can be applied to develop intelligent car key due to the differences of driving behaviors among different drivers.

We present a low–cost surveillance system to model and analyze human actions based on leaning by demonstration. By teaching the system the difference between normal and abnormal human motions, the computational model built inside the trained machines can automatically identify whether the newly observed behaviors require security interference.

A mobile robot that can monitor, play with, and feed pets remotely when the owners are away from their pets.

We are developing techniques to model and analyze human real-time actions based on learning by demonstration.

A smart wheelchair with an human friendly interface for high-level control, to significantly enhance the usability and functionality of traditional electric wheelchairs.

We have developed a human-following wheeled mobile robot, which has the human tracking function, based on a sensory system to get the position of the target person in real-time. This mobile robot platform can be used for many applications. One potential application is the transportation of baggage in airports.

We are developing a coherent set of technologies which seamlessly integrate the computer-aided design, smart materials, learning algorithm, human interface, control strategy and network communication of smart toys.

We are developing the methodologies for developing and supporting distributed, wearable robot systems which can be used as mobile devices for communication and interaction.

We have built a free-floating underactuated robot with passive joints. We are currently examining the issues such as controllability, dynamic coupling index, control strategy, nonholonomic motion planning and close-chain durality.

We have developed a real-time Stamping Operation Monitoring and Diagnosis System (SOMS) for monitoring metal stamping operations.

We have developed robotic technologies that are specifically useful in service applications, such as hospital transporting and laboratory automation robots, floor cleaning robots, and semi-automatic ultrasonic 3D reconstruction systems.