LLM

At the IEEE International Conference on Robot and Human Interactive Communication (ROMAN) 2025, held in Eindhoven, Netherlands, Björn Döschl presented his latest research titled “SaynFly: An LLM-Modulo Online Planning Framework to Automate UAV Command and Control.” The conference brought together researchers from robotics, human-robot interaction, and automated systems. SaynFly contributes an LLM-modulo online planning framework for UAV command and control, with a particular focus on search and rescue missions.

At the LEAP (Learning Effective Abstractions for Planning) workshop, held as part of the Conference on Robot Learning (CoRL) 2024, Björn Döschl presented his latest research titled “Say-REAPEx: An LLM-Modulo UAV Online Planning Framework for Search and Rescue.” The event brought together leading researchers in planning and robot learning, with a focus on abstraction-based methods. The workshop fostered engaging discussions and offered valuable feedback from peers working at the forefront of AI and robotics.