activity
20242026
most cited: A Vision-Language-Action Flow Model for General Robot Control

11 citations · 13 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Physical Intelligence, Bo Ai, Ali Amin +85

We present a new robotic foundation model, called , that can enable strong out-of-the-box performance in a wide range of scenarios. can follow diverse language i…

cs.LG2025

: a VLA That Learns From Experience

Physical Intelligence, Ali Amin, Raichelle Aniceto +53

We study how vision-language-action (VLA) models can improve through real-world deployments via reinforcement learning (RL). We present a general-purpose method, RL with Experience…

cs.LG2025

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better

Danny Driess, Jost Tobias Springenberg, Brian Ichter +8

Vision-language-action (VLA) models provide a powerful approach to training control policies for physical systems, such as robots, by combining end-to-end learning with transfer of…

cs.LG2025★ 2 cited

: a Vision-Language-Action Model with Open-World Generalization

Physical Intelligence, Kevin Black, Noah Brown +33

In order for robots to be useful, they must perform practically relevant tasks in the real world, outside of the lab. While vision-language-action (VLA) models have demonstrated im…

cs.RO2025

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Lucy Xiaoyang Shi, Brian Ichter, Michael Equi +12

Generalist robots that can perform a range of different tasks in open-world settings must be able to not only reason about the steps needed to accomplish their goals, but also proc…

cs.LG2024★ 11 cited

: A Vision-Language-Action Flow Model for General Robot Control

Kevin Black, Noah Brown, Danny Driess +21

Robot learning holds tremendous promise to unlock the full potential of flexible, general, and dexterous robot systems, as well as to address some of the deepest questions in artif…

cs.RO2024

Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment

Catie Cuan, Kyle Jeffrey, Kim Kleiven +6

For decades, robotics researchers have pursued various tasks for multi-robot systems, from cooperative manipulation to search and rescue. These tasks are multi-robot extensions of…