https://unibwm-ifs-ailab.github.io/tag/leap/LEAPHugo Blox Builder (https://hugoblox.com)en-usSat, 09 Nov 2024 00:00:00 +0000https://unibwm-ifs-ailab.github.io/media/icon_hu4951135369306263711.pnghttps://unibwm-ifs-ailab.github.io/tag/leap/https://unibwm-ifs-ailab.github.io/not_used_event/corl2024/Sat, 09 Nov 2024 00:00:00 +0000https://unibwm-ifs-ailab.github.io/not_used_event/corl2024/<p>At the <strong>LEAP (Learning Effective Abstractions for Planning)</strong> workshop, held as part of the Conference on Robot Learning (CoRL) 2024, Björn Döschl presented his latest research titled <em>&ldquo;Say-REAPEx: An LLM-Modulo UAV Online Planning Framework for Search and Rescue.&rdquo;</em> 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.</p> <p> <figure > <div class="d-flex justify-content-center"> <div class="w-100" ><img alt="Additional conference image" srcset=" /not_used_event/corl2024/featured3_hu12326421806611621143.webp 400w, /not_used_event/corl2024/featured3_hu10305707882232183900.webp 760w, /not_used_event/corl2024/featured3_hu5032684781869634200.webp 1200w" src="https://unibwm-ifs-ailab.github.io/not_used_event/corl2024/featured3_hu12326421806611621143.webp" width="521" height="760" loading="lazy" data-zoomable /></div> </div></figure> </p>https://unibwm-ifs-ailab.github.io/post/2024-10-10-corl/Sat, 09 Nov 2024 00:00:00 +0000https://unibwm-ifs-ailab.github.io/post/2024-10-10-corl/<p>At the <strong>LEAP (Learning Effective Abstractions for Planning)</strong> workshop, held as part of the Conference on Robot Learning (CoRL) 2024, Björn Döschl presented his latest research titled <em>&ldquo;Say-REAPEx: An LLM-Modulo UAV Online Planning Framework for Search and Rescue.&rdquo;</em> 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.</p> <section> <h2>Workshop Details</h2> <p><strong>Event:</strong> <a href="https://2024.corl.org/">LEAP Workshop @ CoRL 2024</a></p> <p><strong>Date:</strong> 9 November 2024</p> <p><strong>Location:</strong> Science Congress Center Munich, Walther-von-Dyck Str. 10, 85748 Munich, Germany</p> <p><strong>Summary:</strong> Björn Döschl presented his research at the LEAP workshop during CoRL 2024.</p> </section> <section> <h2>Event Abstract</h2> <p>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.</p> </section> <p> <figure > <div class="d-flex justify-content-center"> <div class="w-100" ><img alt="Additional conference image" srcset=" /post/2024-10-10-corl/featured3_hu12326421806611621143.webp 400w, /post/2024-10-10-corl/featured3_hu10305707882232183900.webp 760w, /post/2024-10-10-corl/featured3_hu5032684781869634200.webp 1200w" src="https://unibwm-ifs-ailab.github.io/post/2024-10-10-corl/featured3_hu12326421806611621143.webp" width="521" height="760" loading="lazy" data-zoomable /></div> </div></figure> </p>