Collection

Large Language Models in Robotics

Submission status
Closed
This collection contains 8 papers which cover an extensive range of topics including robotic applications such as chemistry, robotic control, task planning, anomaly detection and many more. LLMs play a significant role in each one of these articles, crucially contributing to and enabling new approaches that were not possible before.

Editors

  • Fei Xia Fei Xia , 

    Fei Xia

    Fei Xia is a Senior Research Scientist at Google Brain, USA, where he works on the Robotics team. He received his PhD degree from the Department of Electrical Engineering, Stanford University. His mission is to build intelligent embodied agents that can interact with complex and unstructured real-world environments, with applications to home robotics.

  • Brian Ichter Brian Ichter , 

    Brian Ichter

    Brian Ichter is a Senior Research Scientist with Google Brain, USA, where he works on the Robotics team. Generally, his research interests lie in enabling mobile robotic systems to plan and perform long-horizon tasks in real-world environments through machine learning and large-scale models. Prior to joining Google Brain, he received a PhD and MS in Aeronautics and Astronautics from Stanford University.

  • Shuran Song Shuran Song  &

    Shuran Song

    Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University. Before joining Stanford, she was faculty at Columbia University. Shuran received her Ph.D. in Computer Science at Princeton University, BEng. at HKUST. Her research interests lie at the intersection of computer vision and robotics.

  • Karol Hausman Karol Hausman

    Karol Hausman

    Karol Hausman is a Staff Research Scientist at Google Brain, USA, and an Adjunct Professor at Stanford University, USA, working on robotics and AI. He is interested in enabling robots to acquire general-purpose skills with minimal supervision in the real world. He received his PhD in CS from the University of Southern California, and his Masters from the Technical University Munich. When he is not debugging robots at Google, he teaches Deep RL class at Stanford.

Articles (9 in this collection)