Project Plans

Introduction of Research Areas

Cognitive Robotics and Intelligent Automation integrates many different component disciplines and technologies, such as computing technology, computer vision, sensors, actuators, control, and artificial intelligence. Advances in these component technologies have often driven robotics forward, and in return robotics has often provided the applications to motivate advances in the component technologies. In this joint international research intensive center of excellence (iRiCE) we plan to focus on research in Core Technologies of Cognitive Robotics and Intelligent Automation with special emphasize on the following areas and technological needs:

  1. Intelligent Robot Integrated Manufacturing Automation
  2. Medical and Healthcare Robotics
  3. Service Robotics


Visual tracking and recognition of intelligent service robots used in sensor fusion theory (III)

Based on the vision based SLAM (Simultaneous Localization and Mapping)

Intelligent Multi-DOF Robotic Endoscope System with Sensorless Force Detection for Assistive Minimally Invasive Surgery

Main Project and Sub-project : Intelligent Multi-DOF Robotic Endoscope System with Sensorless Force Detection

The Research of 7 Degrees of Freedom Robotic Manipulator

The robotic manipulator has been widely utilized in Automatic Production Line. Typical robotic manipulator which has six degrees of freedom makes end effector do three orientation translation and rotation. Human arm which is more dexterous than typical robotic manipulator has seven degrees of freedom which make human do more complex movement. In some application, for example curve welding, because of narrow workspace and complex movement, it is appropriate that we use seven degrees of freedom.

Education Entertainment Companion Robot

The Covariance Intersection (CI) is a data fusion algorithm which takes a convex combination of the mean and covariance in the information space. This figure shows Covariance Intersection Fusion Result on Robot Pose Translation (a) x-direction (b) y-direction.

Preview and Force Control of Non-Constant Height Biped Walking Robot

This project proposes a control architecture for the biped walking robot with non-constant COM height. The walking pattern with up and down COM motion is generated by preview control with optimal COM height trajectory to save time consumption. A feedback force controller takes the COM as the operating point to achieve a compensation of the motion of COM.

Robot Operating System (ROS)

What is Semantic Map?

Semantic Map is a format in which we store our knowledge. Semantic map correlate the knowledge of objects and scenes to a location in the map, which means that establishing the relationship between the environment and objects.(fig 1.1, fig 1.2) Additionally, the Semantic Map can be used when doing some advanced tasks. Modules that use Semantic Map directly include Navigation, Collision Avoidance, Localization and Mapping, Path Planning, and Human Robot Interaction, etc.

Medical and Health care Robot

Nowadays in such a busy society, if someone would like to relief the stress and pressure from the heavy work load by massage, mostly will need a well trained professional massage expert. However, the entire massage therapy process requires much time and most importantly, it is indeed a labor intensive task. In addition, due to such a time consuming job, the massage expert can serve only a few customer per day. Furthermore, it is also quite expensive for a massage therapy by paying more than 1,000 NTD an hour.