Omar Rayyan

I am a PhD student at UCLA with Yuchen Cui. I do research on robot learning, with a focus on 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 student collaborator at Ai2 Ai2.

               

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Select Publications and Software

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

In Submission

(paper, website)

MuJoCo AR: Phone teleoperation for robots

Quick Phone Robot Teleoperation on Simulation and Real Robots

GitHub stars

(code)

RCM-Constrained Manipulator Trajectory Tracking Using Differential Kinematics Control

Omar Rayyan, Vinicius Goncalves, Nikolaos Evangeliou, Anthony Tzes

International Conference on Advanced Robotic (ICAR) 2023

(paper, code)

Open-Vocab Beyond Pick and Place

With Guidance from Mahi Shafiullah

(code)

Before shifting my focus to robot learning, I founded LEBSI, PastCode and Qatra. Other Links: