[2310.17555] Interactive Robot Learning from Verbal Correction
The ability to learn and refine behavior after deployment has become ever more important for robots as we design them to operate in unstructured environments like households. In this work, we design a new learning syst…
Interactive Robot Learning from Verbal Correction Huihan Liu 1,2 , Alice Chen 1 , Yuke Zhu 2 , Adith Swaminathan 1 , Andrey Kolobov 1 , Ching-An Cheng 1 *This work was partially done during Huihan Liu’s internship at Microsoft Research. Correspondence: huihanl@utexas.edu 1 Microsoft Research, Redmond, WA 98052, USA {adswamin,akolobov,chinganc}@microsoft.com 2 The University of Texas at Austin, Austin, TX 78712, USA {huihanl,yukez}@utexas.edu Abstract The ability to learn and refine behavior after deployment has become ever more important for robots as we design them to operate in unstructured
related reading
- State of Robot Learning, December 2025vedder.io
- Yell At Your Robot \emojishout Improving On-the-Fly from Language Correctionsarxiv.org
- How Claude Performs on Robotics Tasks \ Anthropicanthropic.com
- [2301.02555] “No, to the Right” – Online Language Corrections for Robotic Manipulation via Shared Autonomyar5iv.labs.arxiv.org
- drocarxiv.org
- Precise Manipulation with Efficient Online RLpi.website
- A VLA that Learns from Experiencepi.website
- Teaching Robots to Listen and Think Harderxn--1xa.com
- A VLA with Open-World Generalizationpi.website
- [2109.01115] Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotationarxiv.org
- [2204.05186] Correcting Robot Plans with Natural Language Feedbackar5iv.labs.arxiv.org
- pistar06.pdfpi.website