3 papers
cs.RO2025
From Vague Instructions to Task Plans: A Feedback-Driven HRC Task Planning Framework based on LLMs
Afagh Mehri Shervedani, Matthew R. Walter, Milos Zefran
Recent advances in large language models (LLMs) have demonstrated their potential as planners in human-robot collaboration (HRC) scenarios, offering a promising alternative to trad…
cs.IT2024
Higher-order Interpretations of Deepcode, a Learned Feedback Code
Yingyao Zhou, Natasha Devroye, Gyorgy Turan +1
We present an interpretation of Deepcode, a learned feedback code that showcases higher-order error correction relative to an earlier interpretable model. By interpretation, we mea…
cs.RO2024
Group-Control Motion Planning Framework for Microrobot Swarms in a Global Field
Siyu Li, Afagh Mehri Shervedani, Miloš Žefran +1
This paper investigates how a novel paradigm called group-control can be effectively used for motion planning for microrobot swarms in a global field. We prove that Small-Time Loca…