Lance Zhang — accepted AI-conference papers

2024

RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots

Soroush Nasiriany, Abhiram Maddukuri, Lance Zhang, Adeet Parikh, Aaron Lo, Abhishek Joshi +2

RSS 2024poster

Recent advancements in Artificial Intelligence (AI) have largely been propelled by scaling. In Robotics, scaling is hindered by the lack of access to massive robot datasets. We advocate using realistic physical simulation as a means to scale environments, tasks, and datasets for robot learning metho…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment

Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu

RSS 2023poster

With the rapid growth of computing powers and recent advances in deep learning, we have witnessed impressive demonstrations of novel robot capabilities in research settings. Nonetheless, these learning systems exhibit brittle generalization and require excessive training data for practical tasks. To…

Cited by 63 Source ↗PDF ↗code ↗Scholar ↗