Our paper, Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning (authors: Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita) will be presented as an Oral presentation at ICRA 2026.

Additionally, our paper Subsecond 3D Mesh Generation for Robot Manipulation (authors: Qian Wang, Omar Abdellall, Tony Gao, Xiatao Sun, Daniel Rakita) will be in the proceedings as well, presented as an interactive poster.

Our lab has one paper that was accepted to the International Conference on Machine Learning (ICML) 2026 conference! This paper is:

• Turning Stale Gradients into Stable Gradients: Coherent Coordinate Descent with Implicit Landscape Smoothing for Lightweight Zeroth-Order Optimization (authors: Chen Liang, Xiatao Sun, Qian Wang, Daniel Rakita)

Our lab has two papers that were accepted to the International Conference on Robotics and Automation (ICRA) 2026 conference! These papers are:

• Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning (authors: Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita)

• Subsecond 3D Mesh Generation for Robot Manipulation (authors: Qian Wang, Omar Abdellall, Tony Gao, Xiatao Sun, Daniel Rakita)

Our paper titled “Deep learning approach for critical exposure during division of the inferior mesenteric artery in colorectal surgery” has been accepted for publication in the Journal of Robotic Surgery.

You can read the full article here: https://link.springer.com/article/10.1007/s11701-025-03121-7

Congratulations to the entire team!