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Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

less than 1 minute read

Published:

Robometer is a general-purpose, video-language-input, dense reward model trained on RBM-1M, a large-scale dataset of over 1M trajectories spanning 21 robot embodiments. It significantly improves robot learning across online RL, offline RL, model-based RL, failure detection, and data retrieval for imitation learning. Link redirects to project website.

VLA-REPLICA: A Replicable Benchmark for Evaluating Robotics Vision-Language Action Models with the SO-101 Robotic Gripper

less than 1 minute read

Published:

VLA-REPLICA is a low-cost, easily reproducible real-world benchmark for evaluating VLA models. Built from off-the-shelf components, our system can be quickly assembled and replicated across laboratories, providing a consistent environment for policy evaluation anywhere in the world. VLA-REPLICA includes a diverse suite of manipulation tasks and a small-scale demonstration dataset for target-domain adaptation, with real-world evaluation protocols for both in-distribution and out-of-distribution settings.

projects

publications

A Fighter’s Spirit: Overcoming the Arena of Life - Elmer L. Mayberry Jr. (1934-2025)

Published in Since You Asked XXI - Edition 1, Library of Congress, 2025

Alex S. Huang

A biography and tribute to Air Force Master Sergeant Elmer “Lee” Mayberry, the most awesome 91-year old I had the chance to befriend during my time working at the Ocotillo Gardens senior home. Interviewed & submitted with the Imprints of Honor (previously Veterans’ Heritage Project) 2025 chapter at Hamilton High School.

[Paper]    [Website]

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

Published in Robotics: Science and Systems (RSS), 2026

Anthony Liang*, Yigit Korkmaz*, Jiahui Zhang, Minyoung Hwang, Abrar Anwar, Sidhant Kaushik, Aditya Shah, Alex S. Huang, Luke Zettlemoyer, Dieter Fox, Yu Xiang, Anqi Li, Andreea Bobu, Abhishek Gupta, Stephen Tu, Erdem Biyik, Jesse Zhang

General-purpose, video-language-input, dense reward model trained on RBM-1M, a large-scale dataset of over 1M trajectories spanning 21 robot embodiments. Significantly improves robot learning across online RL, offline RL, model-based RL, failure detection, and data retrieval for imitation learning.

[Paper]    [arXiv]    [Website]    [Code]

VLA-REPLICA: A Low-Cost, Reproducible Benchmark for Real-World Evaluation of Vision-Language-Action Models

Published in arXiv, 2026

Alex S. Huang*, Jiahui Zhang*, Shiqing Tang, Yu Xiang

VLA-REPLICA is a low-cost (<$1100), easily reproducible real-world benchmark for evaluating VLA models. Our system provides a consistent environment for policy evaluation anywhere in the world. VLA-REPLICA includes a diverse suite of manipulation tasks and a small-scale demonstration dataset for target-domain adaptation, with real-world evaluation protocols for both in-distribution and out-of-distribution settings.

[Paper]    [arXiv]    [Website]    [Code]

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.