activity
20222026
most citedDo As I Can, Not As I Say: Grounding Language in Robotic Affordances

524 citations · 855 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.RO2023★ 5 cited

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

Jiayuan Gu, Sean Kirmani, Paul Wohlhart +14

Generalization remains one of the most important desiderata for robust robot learning systems. While recently proposed approaches show promise in generalization to novel objects, s…

cs.RO2023★ 2 cited

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics

Pierre Sermanet, Tianli Ding, Jeffrey Zhao +18

We present a scalable, bottom-up and intrinsically diverse data collection scheme that can be used for high-level reasoning with long and medium horizons and that has 2.2x higher t…

cs.RO2023★ 103 cited

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…

cs.RO2023★ 18 cited

Robotic Table Tennis: A Case Study into a High Speed Learning System

David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan +32

We present a deep-dive into a real-world robotic learning system that, in previous work, was shown to be capable of hundreds of table tennis rallies with a human and has the abilit…

cs.RO2023★ 43 cited

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Allen Z. Ren, Anushri Dixit, Alexandra Bodrova +11

Large language models (LLMs) exhibit a wide range of promising capabilities -- from step-by-step planning to commonsense reasoning -- that may provide utility for robots, but remai…

cs.RO2023★ 39 cited

Language to Rewards for Robotic Skill Synthesis

Wenhao Yu, Nimrod Gileadi, Chuyuan Fu +17

Large language models (LLMs) have demonstrated exciting progress in acquiring diverse new capabilities through in-context learning, ranging from logical reasoning to code-writing.…

cs.RO2023★ 16 cited

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28

A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation ha…