Latest News | AI LAB @ UniBw Munich

B-prepared members visit Poland

Thu, 25 Jun 2026 00:00:00 +0000

English

From 24.06.26 to 28.06.26, the B-prepared visited the city of Rowy on the Baltic Sea. We were hosted by the municipality of Ustka, Poland, and Sean Klein attended on behalf of the University of the Bundeswehr Munich.

The main event was the live drill at the coast. It was well organized and run by local volunteer organisations. We could observe closely how experts dealt with various scenarios related to the dangers that the Baltic Sea poses to its residents.

Apart from the drill, we visited a local event to represent B-prepared, where our partners had the opportunity to present VR-prepared to citizens. We also had very interesting discussions regarding the next steps and the finalisation of the project.

Overall, these days were very productive and enjoyable.

Thanks to Ustka for the excellent hosting, and to all partners for the constructive exchanges. It was great to see everyone again!

https://b-prepared-project.com/

German

Vom 24.06.26 bis zum 28.06.26 besuchte B-prepared die Stadt Rowy an der Ostsee. Gastgeber war die Gemeinde Ustka in Polen, und Sean Klein nahm im Namen der Universität der Bundeswehr München teil.

Das Hauptereignis war die Live-Übung an der Küste. Sie war gut organisiert und wurde von lokalen Freiwilligenorganisationen durchgeführt. Wir konnten aus nächster Nähe beobachten, wie Expertinnen und Experten mit verschiedenen Szenarien im Zusammenhang mit den Gefahren umgingen, die die Ostsee für ihre Anwohnerinnen und Anwohner mit sich bringt.

Neben der Übung besuchten wir eine lokale Veranstaltung, um B-prepared zu vertreten. Dort hatten unsere Partner die Gelegenheit, VR-prepared den Bürgerinnen und Bürgern vorzustellen. Außerdem führten wir sehr interessante Gespräche über die nächsten Schritte und die Finalisierung des Projekts.

Insgesamt waren diese Tage sehr produktiv und angenehm.

Vielen Dank an Ustka für die hervorragende Gastfreundschaft und an alle Partner für den konstruktiven Austausch. Es war schön, alle wiederzusehen!

https://b-prepared-project.com/

Flight Season 2026 Started

Thu, 12 Feb 2026 00:00:00 +0000

The 2026 flight season has officially started.

During the first test flights of the season, we successfully evaluated the changes made to AUSPEX over the winter on our heterogeneous multi-UAV fleet. The tests allowed us to validate the updated system in real flight conditions and to assess its performance across different UAV platforms.

After several adaptations and refinements, AUSPEX performed very well. These successful initial flights provide a solid foundation for the upcoming experiments and mark a promising start to the new flight season.

DAAD-Preis 2025 @ UniBw M

Mon, 26 Jan 2026 00:00:00 +0000

English

The DAAD Prize honours international students and doctoral candidates at German universities for outstanding academic achievements and exceptional commitment. This year, the prize was awarded to Prakash Jamakatel at the University of the Bundeswehr Munich during the master’s degree ceremony. He was honoured for his excellent academic achievements, successful publications and awards (including ICAPS Best System Demonstration 2023) as well as for his active contribution to the team.

Deutsch

Der DAAD-Preis (Deutscher Akademischer Austauschdienst) zeichnet internationale Studierende und Promovierende an deutschen Hochschulen für herausragende akademische Leistungen und besonderes Engagement aus. Dieses Jahr wurde der Preis an der Universität der Bundeswehr München im Rahmen der Masterfeier an Prakash Jamakatel verliehen. Er wurde für exzellente wissenschaftliche Leistungen, erfolgreiche Publikationen und Auszeichnungen (u. a. ICAPS Best System Demonstration 2023) sowie für seinen aktiven Beitrag zum Team geehrt.

B-prepared PIP10 @ Norrköping 2026

Tue, 13 Jan 2026 00:00:00 +0000

English

From 13.01.26 to 15.01.26 the 10th PIP (Project Increment Planning) meeting for the B-prepared project took place in Norrköping. We were hosted by Linköping University (LiU). Sean Klein was there on behalf of University of the Bundeswehr Munich.

We had a productive time, and could align on priorities for the next quarter, review progress across work packages, and agree on the key milestones and deliverables for the coming months. Beyond the planning sessions, the discussions were a great chance to strengthen collaboration across partners and sharpen our shared roadmap.

During the General Assembly we could solve outstanding issues and reflect on our progress.

Thanks to LiU for the excellent hosting—and to all partners for the constructive exchanges! It was nice to see everyone again!

https://b-prepared-project.com/

Deutsch

Vom 13.01.26 bis 15.01.26 fand in Norrköping das 10. PIP-Meeting (Project Increment Planning) des B-prepared-Projekts statt. Gastgeber war die Linköping University (LiU). Sean Klein nahm im Namen der Universität der Bundeswehr München teil.

Wir hatten eine produktive Zeit und konnten die Prioritäten für das nächste Quartal abstimmen, den Fortschritt in den Arbeitspaketen überprüfen sowie die wichtigsten Meilensteine und Deliverables für die kommenden Monate festlegen. Über die Planungssessions hinaus waren die Gespräche eine gute Gelegenheit, die Zusammenarbeit zwischen den Partnern zu stärken und unsere gemeinsame Roadmap weiter zu schärfen.

Während der General Assembly konnten wir offene Themen lösen und unsere Fortschritte reflektieren.

Vielen Dank an die LiU für die hervorragende Organisation und an alle Partner für den konstruktiven Austausch! Es war schön, alle wiederzusehen!

https://b-prepared-project.com/

AUSPEX @ GAS 2025

Thu, 11 Dec 2025 00:00:00 +0000

At the German Autonomy Summit (GAS) 2025, held by the IEEE Intelligent Transportation Systems Society (ITSS) German Chapter, Maximilian Schnell and Nico Michel presented their teams research “AUSPEX: An Integrated Open-Source Decision-Making Framework for UAVs in Rescue Missions”. The event brought together Germanys leading researchers of intelligent transportation systems, with a focus on autonomous systems and perception of mobile systems. The summit fostered engaging discussions and offered valuable feedback from peers working at the forefront of perception, navigation, control, learning and autonomous systems.

AJCAI 2025 @ Canberra

Thu, 04 Dec 2025 00:00:00 +0000

At the 26th Australasian Joint Conference on Artificial Intelligence (AJCAI 2025), held in Canberra, Australia, Björn Döschl presented the paper “Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions.” The work introduces a planner-independent pipeline for extracting goals and constraints from natural-language mission instructions and projecting them into planner-specific representations for open-world mobile robot missions.

Conference Details

Conference: AJCAI 2025

Full name: 26th Australasian Joint Conference on Artificial Intelligence

Date: 1–5 December 2025

Presentation date: 4 December 2025

Location: Lowitja O'Donoghue Cultural Centre, Australian National University, Canberra, Australia

Session: Short Oral Session 8: Robotic AI

Summary: Björn Döschl presented research on planner-independent goal and constraint extraction for open-world mobile robot missions.

Paper Details

Title: Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions

Authors: Björn Döschl and Jane Jean Kiam

Proceedings: AI 2025: Advances in Artificial Intelligence, Lecture Notes in Computer Science, vol. 16371

Pages: 453–465

DOI: 10.1007/978-981-95-4972-6_35

Springer page: Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions

Paper Summary

The paper addresses problem-instance acquisition for robot missions described in natural language. It combines an LLM-based goal and constraint extraction module with a planner-specific projection layer, allowing operator-defined mission instructions to be translated into structured representations for downstream planning systems. The approach is evaluated on mission instructions and demonstrated in AUSPEX for a Search and Rescue UAV scenario.

ICAPS 2025 @ Melbourne

Mon, 10 Nov 2025 00:00:00 +0000

At the 35th International Conference on Automated Planning and Scheduling (ICAPS) 2025, held in Melbourne, Victoria, Australia, members of the AI Lab presented several contributions around UAV planning, simulation, dynamic replanning, and natural-language mission specification.

Max Sommer and Björn Döschl presented the system demonstration “Dynamic REAP: Bringing Life into Simulations for UAV Planning and Acting Frameworks.” Björn Döschl also presented the PlanRob workshop paper “Making Unified Planning Dynamic by Incorporating World State Updates via Feedback Loops” and a poster on “Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions.”

Conference Details

Conference: ICAPS 2025

Full name: 35th International Conference on Automated Planning and Scheduling

Date: 9–14 November 2025

Location: Melbourne, Victoria, Australia

Summary: MASC and BJDO presented research contributions on UAV simulation, dynamic planning, and natural-language goal and constraint extraction.

System Demonstration

Title: Dynamic REAP: Bringing Life into Simulations for UAV Planning and Acting Frameworks

Presented by: Max Schnell and Björn Döschl

Authors: Kai Sommer, Björn Döschl, Jane Jean Kiam

Demo page: ICAPS 2025 System Demonstrations

Paper: Download the demo paper

Original PDF: ICAPS demo paper PDF

Dynamic REAP extends UAV simulation for planning and acting frameworks by combining accurate vehicle physics with georeferenced semantic segmentation and dynamic background characters. The system demonstration shows how realistic Search and Rescue scenarios can be used to validate UAV decision-making, perception, and planning pipelines before deployment in real-world missions.

PlanRob Workshop Paper

Workshop: PlanRob: Planning and Robotics

Date: 10 November 2025

Title: Making Unified Planning Dynamic by Incorporating World State Updates via Feedback Loops

Presented by: Björn Döschl

Authors: Björn Döschl, Jane Jean Kiam

This workshop paper presents an architectural and functional extension to the Unified Planning framework for dynamic robot missions. The approach constructs planning problem instances from updated world states, integrates execution feedback, and enables replanning during mission execution. The work is demonstrated in the AUSPEX framework with the REAP simulation environment for UAV-based Search and Rescue missions.

Poster Presentation

Title: Planner-Independent Extraction of Goals and Constraints from Natural Language for Open-World Mobile Robot Missions

Presented by: Björn Döschl

Authors: Björn Döschl, Jane Jean Kiam

Publication: 38th Australasian Joint Conference on Artificial Intelligence

Project page: Publication page

The poster presents a planner-independent pipeline for extracting goals and constraints from natural-language mission instructions. The approach uses an LLM-based goal and constraint extraction module and a planner-specific projection layer, enabling operator-defined mission goals to be translated into structured representations for downstream planning systems.

Presented Contributions

System demonstration: Dynamic REAP for realistic UAV planning and acting simulations.
Workshop paper: Dynamic UP extension with world-state updates and feedback-loop-based replanning.
Poster: Planner-independent goal and constraint extraction from natural-language mobile robot mission instructions.

Gallery

Replace the following placeholders with selected photos from the ICAPS presentations, demo session, workshop talk, and poster session.

Project MENTHON: Workshop at the UniBW

Fri, 31 Oct 2025 00:00:00 +0000

As part of the MENTHON project, a joint demonstration took place on October 31, 2025 together with our partners AID and HAT.tec. We were pleased to welcome representatives from the VDI project management agency as well as associated partners from the DGzRS and the Bergwacht Penzberg.

Technical presentation at the MENTHON workshop
© 2025 AI Lab, UniBw Munich

During the event, we showcased the capabilities of the AUSPEX framework in realistic search and rescue scenarios. One scenario demonstrated how a missing person was located by a heterogeneous drone swarm, identified using advanced object detection, and subsequently supported by a second drone that delivered a first-aid kit directly to the position.

Live demonstration of the drone swarm in action
© 2025 AI Lab, UniBw Munich

In addition to the live demonstrations, technical presentations were held and further real-world mission scenarios were discussed. The day concluded with a joint dinner for all participants. The deployed drone swarm consisted of an MK-20 multicopter (ArduPilot) equipped with a zoom and thermal camera, as well as two Holybro X500 v2 (PX4) drones – one carrying a camera and the other transporting a first-aid kit.

Close-up view of the drone equipment used in the demonstrations
© 2025 AI Lab, UniBw Munich

Besuch der Feuerwehr und Professorinnen an der UniBW

Mon, 22 Sep 2025 00:00:00 +0000

Es war uns eine Freude wichtige Gäste von der Feuerwache München (Florentin von Kaufmann, Andreas Boden, Bernhard Hirsch und Matthias Keller) sowie Prof. Annette Kluge von der Ruhr-Universität Bochum und Prof. Vera Hagemann von der Universität Bremen im Mission- und AI-Lab des Instituts für Flugsysteme (IFS) an der Universität der Bundeswehr München begrüßen zu dürfen.

Der Nachmittag war gefüllt mit interessanten Vorträgen und Demonstrationen über die aktuelle Forschung am IFS. Es gab anregende Diskussionen und einen freudigen Austausch. Vielen Dank für den Besuch und an alle die beteiligt waren!

B-prepared Hackathon in Budapest

Fri, 19 Sep 2025 00:00:00 +0000

The B-prepared Hackathon finals on the 19th of September 2025 were a great success. Our university was represented by Fridolin Spiegel, an aerospace engineering student in his bachelors, and by one of our researchers from the AI-Lab, Prakash Jamakatel. They both achieved the second place in the VR-prepared and IM-prepared challenges respectively. Congratulations!🎉

The team of Prakash, Kai Sommer and Björn Döschl worked on a game running in the browser both on Desktop and Mobile platforms. Their goal is to raise players’ awareness of the avalanche risks faced by skiers, snowboarders, and mountaineers in alpine regions. In the real world, persons are required to carry an avalanche transceiver. This is a small handheld device that emits and receives radio signals, allowing rescuers to quickly locate buried victims. The game guides through the process of using such a device to find such victims. We plan to integrate this game into B-prepared soon, stay tuned!

Meanwhile, Fridolin developed a game that trains laypeople to perform cardiopulmonary resuscitation (CPR) and to call emergency medical services (EMS) within the game. This topic is crucial: most people rarely refresh their first-aid training, and very few have practiced making an emergency call before a real emergency occurs. Great work!

Fridolin will continue refining his prototype during his studies. Once it is complete, we will integrate our dialogue agent into his game to provide realistic simulations with professional call-takers.

#HackForGood #DigitalResilience #Bprepared #IMprepared #VRprepared #RUprepared #Disastropedia #InnovationChallenge

SaynFly @ IEEE ROMAN 2025

Mon, 25 Aug 2025 00:00:00 +0000

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.

Conference Details

Conference: IEEE ROMAN 2025

Date: 25 August 2025

Location: Eindhoven University of Technology, De Zaale, 5612 AZ Eindhoven, Netherlands

Summary: Björn Döschl presented his research on SaynFly at IEEE ROMAN 2025.

Paper Abstract

Command and Control (C2) for Unmanned Aerial Vehicle (UAV) missions requires the dynamic coordination of task planning, environmental perception, and navigation strategies. While Large Language Model (LLM-) modulo planning frameworks have shown promise in addressing such complexity, due to their capabilities to understand natural language and common sense, their limited robustness remains a challenge. Recent adaptions of such frameworks made online planning possible, but they do not scale well with the number of actions. This limits the applicability in robotic frameworks with large sets of parameterized actions, such as those encountered in UAV C2. We introduce SaynFly, an LLM-modulo online planning framework that streamlines the action space by discarding infeasible actions using domain-specific knowledge, while leveraging online heuristic search to mitigate reward uncertainty and automate the C2 processes for UAVs. Test results for our Search and Rescue (SAR) validation scenarios show that SaynFly is 70% more efficient compared to existing frameworks while maintaining or exceeding success rates.

AUSPEX Multi-Drone Success: Heterogeneous Fleet Demonstrates Coordinated Autonomous Operations

Fri, 15 Aug 2025 00:00:00 +0000

We’re thrilled to announce a major milestone for the AUSPEX framework: successful coordinated flight tests with heterogeneous drones running different autopilot systems. Our Multikopter MK-U20 (ArduPilot) and Holybro x500v2 (PX4) both received and executed mission plans from AUSPEX seamlessly.

English

A breakthrough for the AUSPEX framework ( https://github.com/UniBwM-IFS-AILab/AUSPEX ) - we successfully demonstrated coordinated autonomous operations with a heterogeneous drone fleet, strengthening our real-world search and rescue capabilities.

The test involved two different platforms: our Multikopter MK-U20 (ArduPilot) and Holybro x500v2 (PX4). This diversity represents realistic search and rescue scenarios where different organizations deploy various drone types that must work together seamlessly.

AUSPEX generated mission plans distributed to both drones simultaneously. Each platform received waypoint-based search patterns while maintaining coordination with the overall mission. Both drones executed their tasks autonomously, with remote controls ready only for emergency intervention.

The successful integration across different autopilot ecosystems demonstrates AUSPEX’s platform-agnostic design. The framework effectively communicated with both ArduPilot and PX4 systems, proving its versatility for heterogeneous fleet operations - crucial for real-world scenarios where rescue teams coordinate various drone platforms.

This test validates AUSPEX’s ability to handle multi-platform coordination while maintaining the reliability required for critical missions.

German

Ein Durchbruch für das AUSPEX-Framework ( https://github.com/UniBwM-IFS-AILab/AUSPEX ) - wir demonstrierten erfolgreich koordinierte autonome Operationen mit einer heterogenen Drohnenflotte und stärkten damit unsere Fähigkeiten für reale Such- und Rettungsanwendungen.

Der Test umfasste zwei verschiedene Plattformen: unseren Multikopter MK-U20 (ArduPilot) und eine Holybro x500v2 (PX4). Diese Vielfalt repräsentiert realistische Such- und Rettungsszenarien, bei denen verschiedene Organisationen unterschiedliche Drohnentypen einsetzen müssen, die nahtlos zusammenarbeiten sollen.

AUSPEX generierte Missionspläne, die gleichzeitig an beide Drohnen verteilt wurden. Jede Plattform erhielt wegpunktbasierte Suchmuster bei gleichzeitiger Koordination mit dem Gesamtmissionsziel. Beide Drohnen führten ihre Aufgaben autonom aus, wobei die Fernbedienungen nur für Notfälle bereitgehalten wurden.

Die erfolgreiche Integration verschiedener Autopilot-Ökosysteme demonstriert das plattformunabhängige Design von AUSPEX. Das Framework kommunizierte effektiv mit ArduPilot- und PX4-Systemen und bewies seine Vielseitigkeit für heterogene Flottenoperationen - entscheidend für reale Szenarien, bei denen Rettungsteams verschiedene Drohnenplattformen koordinieren müssen.

Dieser Test validiert die Fähigkeit von AUSPEX, Multi-Plattform-Koordination zu bewältigen und dabei die für kritische Missionen erforderliche Zuverlässigkeit zu gewährleisten.

#UAV #DroneSwarm #AUSPEX #SearchAndRescue #ArduPilot #PX4 #HeterogeneousFleet #AutonomousCoordination

AUSPEX Takes Off: First Test Flights Show Promising Results

Mon, 07 Jul 2025 00:00:00 +0000

In recent weeks, we’ve conducted several test flights to put the AUSPEX framework ( https://github.com/UniBwM-IFS-AILab/AUSPEX ) through its paces in real-world conditions – successes, crashes, and new insights included.

English

We’re excited to share that the AUSPEX framework, which has been developed in our group, has achieved its first successes in real-world flight tests. The goal of AUSPEX is to develop a modular, open-source framework for decision-making support in search and rescue missions using unmanned aerial vehicles (UAVs).

During our recent test flights, we were able to successfully demonstrate core capabilities of the framework for the first time: generating a waypoint-based search plan and having it executed autonomously by two UAVs. The remote controls were held in hand - solely for emergency intervention.

Of course, these successful tests were preceded by a few crashes — an inevitable part of the learning process.

German

Wir freuen uns, berichten zu können, dass das in unserer Gruppe entwickelte AUSPEX-Framework erste Erfolge in realen Flugtests erzielen konnte. Ziel von AUSPEX ist die Entwicklung eines modularen, Open-Source-Frameworks zur Entscheidungsunterstützung bei Such- und Rettungsmissionen mit unbemannten Luftfahrzeugen (UAVs).

In unseren jüngsten Testflügen konnten wir erstmals zentrale Funktionen des Frameworks erfolgreich demonstrieren: die Erstellung eines Suchplans mit Wegpunkten sowie dessen autonome Ausführung durch zwei UAVs. Die Fernbedienung in der Hand diente lediglich als Sicherheitsmaßnahme, um im Notfall eingreifen zu können.

Den erfolgreichen Tests gingen natürlich auch ein paar Abstürze voraus – wohl ein unvermeidlicher Teil des Lernprozesses.

#UAV #DroneSwarm #AUSPEX #SearchAndRescue

Many Thanks to INM

Fri, 04 Jul 2025 00:00:00 +0000

Thank you once again to PD Dr. Stephan Prückner and M.Sc. Konrad Huppert from the Institute for Emergency Medicine and Medicine Management (INM) of the University Clinic Munich, LMU Munich team for your trust and support.

English

We are pleased to extend our sincere thanks to our valued collaboration partner, the Institute for Emergency Medicine and Medicine Management, for generously providing the transcripts necessary to kickstart our current research efforts. Their support plays a key role in enabling us to conduct high-quality, impactful studies that contribute to scientific progress in our field. This collaboration exemplifies the importance of shared knowledge and resources in advancing academic and applied research. We look forward to continued cooperation and shared success in the future.

German

Wir möchten unserem geschätzten Kooperationspartner des Instituts für Notfallmedizin und Medizinmanagement herzlich für die Bereitstellung der für unsere Forschung notwendigen Transkripte danken. Die Daten sind ein idealer Startpunkt für unsere Forschung und ermöglichen es uns, unsere Arbeit näher an der Realität zu betreiben. Die Unterstützung ist von zentraler Bedeutung für uns.

Diese Zusammenarbeit zeigt, wie wichtig der Austausch von Wissen und Ressourcen für den wissenschaftlichen Fortschritt ist. Wir freuen uns auf eine weiterhin erfolgreiche Partnerschaft und gemeinsame Entwicklungen in der Zukunft.

Nochmals vielen Dank an PD Dr. Stephan Prückner und M.Sc. Konrad Huppert vom Institut für Notfallmedizin und Medizinmanagement (INM), LMU Klinikum München für Ihr Vertrauen und Ihre Unterstützung.

Project MOREALIS Completion

Wed, 28 May 2025 00:00:00 +0000

On 28 May 2025, we wrapped up Project MOREALIS (UL-LL Fluggerät MORFOIS mit integriertem Notfallassistenzsystem REALISST), marking the successful completion of four years of collaboration on an aircraft emergency handling assistance system.

During the course of the project, we worked together to develop a prototypical assistance system capable of continuously monitoring the pilot and the aircraft and intervening when required to support flight safety. On the day of the project final meeting, Prakash Jamakatel presented the work done by the UniBw M - FMFF in the development of the cognitive state estimation system, context determination system with plan and goal recognition, dialogue system, intervention management, and flight path planning system. Together with the project partners, we also demonstrated the cockpit prototype.

Project Details

Project: MOREALIS

Date: 28 May 2025

Location: University of the Bundeswehr Munich

Summary: Prakash Jamakatel successfully completed Project MOREALIS.

Project Summary

On 28 May 2025, we wrapped up Project MOREALIS (UL-LL Fluggerät MORFOIS mit integriertem Notfallassistenzsystem REALISST, aircraft emergency handling system), a milestone that marks the successful end of four years of collaboration with UniBwM-LRT, Deutsches Zentrum für Luft- und Raumfahrt, Institut für Flugsystemtechnik, SFL GmbH, Deutsches Zentrum für Luft- und Raumfahrt, Institut für Luft- und Raumfahrtmedizin, and STAR Healthcare Management GmbH.

Special thanks to all partners for making Project MOREALIS a success.

B-prepared Hackathon

Tue, 20 May 2025 00:00:00 +0000

Join the B-prepared Hackathon to collaborate on innovative digital solutions for disaster preparedness—learn more and sign up at https://b-prepared-project.com/hackathon/.

English

📢 JOIN THE B-PREPARED HACKATHON 💡

We’re excited to support the B-prepared Hackathon, a unique opportunity for students, developers, designers and educators to co-create digital tools for disaster preparedness!

Participants are invited to:

Build VR simulations
Design mobile apps & mini-games
Create engaging educational content
Collaborate across borders to make a real-world impact.

Get involved and innovate for a safer future!

📆 Learn more & sign up here: https://b-prepared-project.com/hackathon/

German

📢 MACH MIT BEIM B-PREPARED HACKATHON 💡

Mit Begeisterung unterstützen wir den B-Prepared Hackathon. Er bietet euch als Studierenden, Entwicklern, Designern und Lehrenden die Chance, gemeinsam digitale Werkzeuge zu entwickeln, die Menschen auf Ausnahmesituationen besser vorbereiten. Nutzt Eure Fähigkeiten und helft mit!

Ihr seid eingeladen:

VR-Simulationen zu entwickeln
Mobile Apps und Minispiele zu gestalten
Wertvolles Wissen ansprechend zu vermitteln
Über Grenzen hinweg zusammenzuarbeiten, um gemeinsam Großes zu bewirken.

📆 Erfahre mehr und registriere dich unter: https://b-prepared-project.com/hackathon/

#HackForGood #DigitalResilience #Bprepared #IMprepared #VRprepared #RUprepared #Disastropedia #InnovationChallenge

LEAP @ CoRL 2024

Sat, 09 Nov 2024 00:00:00 +0000

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.