Introduction
The Embodied Perception and Planning Group focuses on researching how intelligent agents perceive, understand, and plan actions through interaction with the environment. Our research spans multiple fields including computer vision, robotics, reinforcement learning, and more, aiming to develop intelligent systems capable of adapting to complex environments. The laboratory adheres to open and innovative research principles, providing an excellent research environment for graduate students and researchers.
Research Directions
Our main research directions include: embodied perception, multimodal learning, robot autonomous navigation, human-computer interaction, and more. By combining advanced technologies such as deep learning and reinforcement learning, we are committed to solving perception, cognition, and decision-making problems for intelligent agents in the real world.