SLAM
3D Perception & Localization
IRL-CBNU
Intelligent Robots Lab
Advancing SLAM, VLA, RL and Deep Learning for intelligent robots
About us
At the Intelligent Robotics Laboratory (IRL), we advance robotics and artificial intelligence by developing intelligent autonomous systems that can perceive, understand, and interact with complex real-world environments. Our research covers SLAM, Gaussian Splatting, Reinforcement Learning (RL), Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, and other emerging areas in robotics.
Combining theoretical research, advanced algorithm development, and robotic system integration, we strive to transform innovative ideas into practical solutions. Through continuous experimentation and validation, we aim to build robust, adaptive, and intelligent autonomous robots for real-world applications.
Research Areas
View AllOur lab explores a wide range of robotics and artificial intelligence technologies, focusing on intelligent perception, autonomous navigation, and robot learning. Our research spans SLAM, VLM, VLA, Reinforcement Learning, and Deep Learning, aiming to develop robust and adaptive robotic systems for real-world applications.
Vision-Language-Action (VLA)
Bridging vision, language and action
Reinforcement Learning
Robot Navigation & Control
Navigation
Robot navigation & Learning-based method
Our Research Highlights
- 9 Publications
- 6 Members
- 2 Awards
- 4 Research Areas
