Omar Rayyan

I am a PhD student at UCLA. I do research on robot learning, with a focus on scaling imitation learning and sim2real. My broader goal is to develop general purpose minds for everyday robots.

Previously, I was at NYU advised by Lerrel Pinto. In previous summers, I was an intern at Google and a research collaborator at Allen AI.

Papers

MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation

Yejin Kim*, Wilbert Pumacay*, Omar Rayyan*, Max Argus*, ...Winson Han, Eli VanderBilt, Jordi Salvador, Abhay Deshpande, Rose Hendrix, Snehal Jauhri, Shuo Liu, Nur Muhammad Mahi Shafiullah, Maya Guru, Arjun Guru, Ainaz Eftekhar, Karen Farley, Donovan Clay, Jiafei Duan, Piper Wolters, Alvaro Herrasti, Ying-Chun Lee, Georgia Chalvatzaki, Yuchen Cui, Ali Farhadi, Dieter Fox, Ranjay Krishna

* denotes first author

(blog, paper, code)

CAP: Contact Conditioning Creates Strong Robot Utility Models

Zichen Jeff Cui, Omar Rayyan, Haritheja Etukuru, Bowen Tan, ...Zavier Andrianarivo, Zicheng Teng, Yihang Zhou, Krish Mehta, Nicholas Wojno, Kevin Yuanbo Wu, Manan H Anjaria, Ziyuan Wu, Manrong Mao, Guangxun Zhang, Binit Shah, Yejin Kim, Soumith Chintala, Lerrel Pinto, Nur Muhammad Mahi Shafiullah

In Submission

(paper, website)

MV-UMI: A Scalable Multi-View Interface for Cross-Embodiment Learning

Omar Rayyan, John Abanes, Mahmoud Hafez, Anthony Tzes, Fares Abu-Dakka

In Submission

(paper, website)

COBALT: Crowdsourcing Robot Learning via Cloud-Based Teleoperation

Ayush Agarwal, Ansh Gandhi, Jeremy A. Collins, Omar Rayyan, ...Aryan Sarswat, Ranjani Koushik, Kaavya Menon, Masoud Moghani, Ajay Mandlekar, Animesh Garg

ICRA 2026

(paper, website)