Projects
Our lab embodies the open-source spirit, driving cutting-edge robotics and AIoT systems through innovative AI algorithms, datasets, and systems, with real-world applications spanning smart cities, smart homes, healthcare, and personalized assistive technologies.
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The world-first open-source benchmark on deep learning-empowered WiFi sensing.
The world-first multi-modal non-intrusive 4D human dataset (RGB, Depth, LiDAR, mmWave, WiFi).
Dataset for CVPR UG2+ Challenge (2021-2022)
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Unsupervised evaluation and model selection for unsupervised domain adaptation (UDA).
Model and explore how vague human instructions affect embodied task planning.
Multimodal Large Language Model integrating rare but powerful sensor inputs to achieve seamless human perception and reasoning.