Adrian Wong — accepted AI-conference papers

2023

Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Andy Zeng, Maria Attarian, brian ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker +7

ICLR 2023top-25%

We investigate how multimodal prompt engineering can use language as the intermediate representation to combine complementary knowledge from different pretrained (potentially multimodal) language models for a variety of tasks. This approach is both distinct from and complementary to the dominant par…

Cited by 559 Source ↗PDF ↗code ↗Scholar ↗

2022

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research

Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong +4

IROS 2022poster

Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware. Using Reach, a cloud robotics platform that enables low-latency remote execution of control policies on physical robots, we present the first…

Cited by 22 Source ↗Scholar ↗

2021

Implicit Behavioral Cloning

Pete Florence, Corey Lynch, Andy Zeng, Oscar A Ramirez, Ayzaan Wahid, Laura Downs +4

CoRL 2021poster

We find that across a wide range of robot policy learning scenarios, treating supervised policy learning with an implicit model generally performs better, on average, than commonly used explicit models. We present extensive experiments on this finding, and we provide both intuitive insight and theo…

Cited by 467 Source ↗Scholar ↗