Pervasive Artificial Intelligence Research (PAIR) Labs

Robotics and sensing technology Team

Pervasive Artificial Intelligence Research (PAIR) Labs

Robotics and sensing technology Team

NTNU – Professor Chen-Chien Hsu

Principal Investigator: Prof. Chen-Chien Hsu

Research :

Development of Theory and Systems of Robot Learning from Human Demonstration (LfD)-Human Action and Face Expression Analysis System Based on 3-D Images

Core Technologies

In this project, techniques including action recognition, object recognition and grasping strategies are developed using visual sensors based on deep learning approaches. Integrated with the hardware implemented visual simultaneous localization and mapping, a mobile learning from demonstration (LfD) robot system is designed and constructed, capable of reproducing behvior demonstrated by humans to achieve low volume automation.

Applications

1. Collaborative Robots
2. Homecare Service Robots
3. Interactive Robots
4. Homecare Surveillance Systems

Technology Transfer

1. Hardware Implemented SIFT Feature Extraction and Matching System
2. Hardware Implemented Object Tracking System

Technologies with Potential for Technology Transfer or Industry-Academia Collaboration

1. Hardware Implemented V-SLAM System
2. Adaptive Object Grasping Strategy
3. Developments of an Adaptive Action Base in Changable Environments

Proposal for Industry-Academia Collaboration

1. Object Pose Estimation System
2. Action Detection and Smart Surveillance in a Homecare Environment
3. Vision-Based Learning from Demonstration Robot Systems Based on Action Detection