Artificial Intelligence Research
A.I. based Robot Control
We conduct AI-driven research for human-robot collaboration. Our work focuses on human intent recognition, robot intelligence, LLM- and VLM-based robot control, and deep learning- and reinforcement learning-based robot control. Through these efforts, we aim to enable robots to understand human needs and respond in real time, realizing more natural and effective human-robot collaboration.
Our Researches
2025
Multimodal Transformer-Based Human Intent Recognition Using Skeleton and RGB Data for HRI Applications
An Efficient Robot Control Framework Using the Model Context Protocol
2024
An Intuitive Framework to Minimize Cognitive Load in RoboticControl A Comparative Evaluation of Body Parts
Transferable Convolutional Neural Networks for IMU-based Motion Gesture Recognition in Human-Machine Interaction
Intuitive Robotic Arm Teleoperation Framework Utilizing Vision Based Real-Time Hand Sign Tracking
related project
- Development of Solution Technology for Personalized Gait Control and Performance Evaluation of Lower-limb Robotic Exoskeleton through Artificial Intelligence/Big Data
- Development of Healthcare Service and Medical Robot using Artificial Intelligence