90 citations · 121 across the 10 of their papers we have counts for
6 papers · 1 filter
What Can One Sentence Fix? A Failure Taxonomy and a Minimal Language Correction for Frozen VLA Policies
Owen Kwon, Pablo Ortega-Kral, Arthur Bucker +1
When a deployed vision-language-action (VLA) policy fails, fine-tuning it again for every new setting is costly, yet the person watching it can usually say what went wrong in one s…
RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning
Pablo Ortega-Kral, Eliot Xing, Arthur Bucker +13
Despite recent efforts to collect multi-task, multi-embodiment datasets, to design recipes for training Vision-Language-Action models (VLAs), and to showcase these models on differ…
GRAPPA: Generalizing and Adapting Robot Policies via Online Agentic Guidance
Arthur Bucker, Pablo Ortega-Kral, Jonathan Francis +1
Robot learning approaches such as behavior cloning and reinforcement learning have shown great promise in synthesizing robot skills from human demonstrations in specific environmen…
LATTE: LAnguage Trajectory TransformEr
Arthur Bucker, Luis Figueredo, Sami Haddadin +4
Natural language is one of the most intuitive ways to express human intent. However, translating instructions and commands towards robotic motion generation and deployment in the r…
Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers
Arthur Bucker, Luis Figueredo, Sami Haddadin +3
Natural language is the most intuitive medium for us to interact with other people when expressing commands and instructions. However, using language is seldom an easy task when hu…
Do You See What I See? Coordinating Multiple Aerial Cameras for Robot Cinematography
Arthur Bucker, Rogerio Bonatti, Sebastian Scherer
Aerial cinematography is significantly expanding the capabilities of film-makers. Recent progress in autonomous unmanned aerial vehicles (UAVs) has further increased the potential…