Open Environment

Open environment research focuses on developing robust artificial intelligence systems capable of functioning effectively in unpredictable, dynamic real-world settings, unlike the controlled conditions of traditional machine learning. Current efforts concentrate on improving object detection and human motion generation in these environments, often employing deep learning models like transformers and diffusion models, along with multimodal data fusion techniques. This research is crucial for advancing applications in robotics, healthcare (e.g., Parkinson's disease monitoring), and other fields requiring reliable AI performance in complex, uncontrolled scenarios, ultimately bridging the gap between laboratory-based AI and real-world deployment.