activity
20192026
most citedDo As I Can, Not As I Say: Grounding Language in Robotic Affordances

524 citations · 703 across the 10 of their papers we have counts for

collaborators

11 papers

q-bio.NC2026

The Morality Game: An online multiplayer platform to standardize, expedite, and expand research on cooperation

Gregory N. Stanley, Alan Yang, Liam Tsimhoni +12

This paper presents the Morality Game, a platform designed to standardize and accelerate research on cooperation and morality through game theory-based experiments. The Morality Ga…

cs.RO2025

Towards Embodiment Scaling Laws in Robot Locomotion

Bo Ai, Liu Dai, Nico Bohlinger +7

Cross-embodiment generalization underpins the vision of building generalist embodied agents for any robot, yet its enabling factors remain poorly understood. We investigate embodim…

cs.RO2024

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Charles Xu, Qiyang Li, Jianlan Luo +1

Recent advances in robotic foundation models have enabled the development of generalist policies that can adapt to diverse tasks. While these models show impressive flexibility, th…

cs.RO2024★ 1 cited

VADER: Visual Affordance Detection and Error Recovery for Multi Robot Human Collaboration

Michael Ahn, Montserrat Gonzalez Arenas, Matthew Bennice +22

Robots today can exploit the rich world knowledge of large language models to chain simple behavioral skills into long-horizon tasks. However, robots often get interrupted during l…

cs.RO2024★ 14 cited

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

Michael Ahn, Debidatta Dwibedi, Chelsea Finn +24

Foundation models that incorporate language, vision, and more recently actions have revolutionized the ability to harness internet scale data to reason about useful tasks. However,…

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…