Welcome
The Lu’s Navigation and Autonomous Robotics (Lunar) Lab at Georgia Tech studies problems related to perception and navigation for robots and autonomous systems in ground, air, and space applications. The lab’s primary goal is to enable robotic systems to operate autonomously in highly unstructured environments under harsh sensing conditions for tasks including search and rescue, daily housework, scientific exploration and discovery. The main research areas of the lab include computer vision, machine learning, deep learning, estimation, and probabilistic inference.
Recent Projects
Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning
Fengze Xie*, Sizhe Wei*, Yue Song, Yisong Yue, Lu Gan
MS-HGNN is a general and efficient deep learning model for robotic dynamics learning, that integrates both robotic kinematic structures and morphological symmetries.
MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception
Daniel Butterfield, Sandilya Sai Garimella, Nai-Jen Cheng, Lu Gan
MI-HGNN is a structured deep learning model that incorporates robot morphological constraints; designed as a learning-based contact estimator for legged robots.
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Latest News
- 12/12/2024: 🎓 Congratulations to Matthieu on completing his B.S. in Aerospace Engineering! We are proud of you and excited for your future.
- 12/04/2024: Lu has been invited to give a talk at the Robotics Days for Industry 2024.
- 08/27/2024: Lu is organizing the CoRL 2024 LocoLearn workshop.
- 08/19/2024: We are thrilled to have Lingjun, Sizhe and Sandilya join our group!
- 04/05/2024: We are excited to welcome our new Ph.D. student, Daniel Butterfield, to the group!
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