At the annual ML@GT Student Conference, our lab member Sizhe Wei was selected to present his research on Morphological-Symmetry-Equivariant Neural Networks for Legged Robot Learning and Control on September 26, 2025. The conference showcases research from the ML student community at GT, promotes awareness of work across different labs and disciplines, and fosters collaboration across the ML Center. The event was held in the 9th floor Atrium of the CODA Building.
Related Publications
- F. Xie*, S. Wei*, Y. Song, Y. Yue and L. Gan, “Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning“, Proceedings of the 7th Annual Learning for Dynamics & Control Conference, PMLR 283:1392-1405, 2025.
- S. Wei*, X Chen*, F. Xie, G. E. Katz, Z. Gan and L. Gan, “MS-PPO: Morphological-Symmetry-Equivariant Policy for Legged Robot Locomotion“, 2025.