LEAP @ CoRL 2024
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.
Workshop Details
Event: LEAP Workshop @ CoRL 2024
Date: 9 November 2024
Location: Science Congress Center Munich, Walther-von-Dyck Str. 10, 85748 Munich, Germany
Summary: Björn Döschl presented his research at the LEAP workshop during CoRL 2024.
Event Abstract
The Learning Effective Abstractions for Planning (LEAP) workshop, part of the Conference on Robot Learning (CoRL), took place on 9 November 2024 at the Science Congress Center Munich. Björn Döschl presented his work titled "Say-REAPEx: An LLM-Modulo UAV Online Planning Framework for Search and Rescue" in the form of a poster and gained valuable insights into cutting-edge research in the field of abstractions for robot learning and planning.
Björn Döschl
Research Associate
Research associate and PhD candidate at the Institute of Flight Systems, focusing on UAV autonomy, swarm intelligence, and multi-agent systems.