Development of shared autonomy control framework and AI-based application technology for enhancing tasks of hyper realistic telepresence robots in unstructured environment

1. Funding Agency

MOTIE

2. Motivation

High-risk industrial and construction tasks still rely on human labor despite high accident risks. As global demand grows for robotic solutions in hazardous, heavy-duty, and confined environments, there is a critical need for remote shared control and unmanned platforms to support or replace workers in emergencies.

3. Objectives

Development of advanced AI-based unstructured autonomous task technology through hyper-realistic telepresence robot interfaces and remote-autonomous shared control.

4. Ongoing Progress

• Immersive Human-machine Interface for Bimanual Teleoperation
• Skill Learning Framework to Transfer the Human Expert’s Task Skills
• Low latency Bilateral Teleoperation through 5G Network

5. Related Publications

• Model-Free Energy-Based Friction Compensation for Industrial Collaborative Robots as Haptic Displays
• Enhancing Maximum Stroke of Twisted String Actuators by Adjusting Twisting Ratio
• Optimizing Setup Configuration of a Collaborative Robot Arm-Based Bimanual Haptic Display for Enhanced Performance
• Relaxing Conservatism for Enhanced Impedance Range and Transparency in Haptic Interaction
• Autonomous Vehicle Localization Without Prior High-Definition Map

6. Contact

• Kwang-Hyun Lee
• Hyeonseok Choi