The goal of the Advanced Robotics Group is to introduce AI into the academic and application aspects of the robotics field to enhance the technical specifications and development of new applications that robots can achieve at this stage. We currently plan to develop the following types of robots:
(1) robotic arms, including one-handed and two-handed systems
(2) service robots, including medical fields (such as rehabilitation), public spaces (such as guided tours), personal companionship, etc.
(3) Bionic robots, including humanoid, multi-footed, composite types, etc.; (4) Smart vehicles (such as unmanned driving system).
The current technical development directions include:
(1) Intelligent planning techniques for robot drive trajectories (such as one-handed trajectory, two-hand trajectory, mobile navigation, foot motion trajectory, human-machine coordination and interactive trajectory, and other specialized equipment such as gait training).
(2) robotic intelligent drive control technology (such as force control, composite control, hand-eye coordination, hand-eye-force coordination, etc.)
(3) robotic sensing module technology, such as: 3D vision and spatial positioning, RGB-D (2.5D) composite vision, tactile module, multi-axis force gauge, inertial sensing, etc.
(4) robot drive module technology, such as smart jaws, bionic actuators, etc.
(5) human-machine teaching and collaborative technology
(6) speech recognition and interactive response
(7) text abstraction technology
(8) memory assist system
(9) cognitive training, etc.
Professor, Department of Mechanical Engineering, NTU
mechanical design, mechatronic systems, sensor applications, control, system integration, gait analysis, locomotion, and bio-materials
Numerical computation and machine learning for simulations of electromagnetic wave propagation, acoustic wave propagation, cognitive and motor systems in robotics, and biological cognitive neural systems.