ICSE 2024 (series) / SEAMS 2024 (series) / Artifact Track / Wildfire-UAVSim: An Exemplar for Evaluation of Adaptive Cyber-Physical Systems in Partially-Observable Environments
Wildfire-UAVSim: An Exemplar for Evaluation of Adaptive Cyber-Physical Systems in Partially-Observable EnvironmentsARTIFACT
Mon 15 Apr 2024 14:40 - 14:55 at Luis de Freitas Branco - Session 3: Unmanned Aerial Vehicles and LLMs Chair(s): Gabriel A. Moreno
Smart Cyber-Physical Systems (sCPS) operate under dynamic, harsh conditions and limited observability of their operation environment. To facilitate the evaluation of distributed CPS where adaptation is affected by partial observability, this paper contributes the formalization of a wildfire tracking problem in forest areas with UAVs, as well as a customizable simulator (Wildfire-UAVSim) that enables the evaluation of diverse adaptation strategies both under full and partial observability conditions.
Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
14:00 - 15:30 | Session 3: Unmanned Aerial Vehicles and LLMs Research Track / Artifact Track at Luis de Freitas Branco Chair(s): Gabriel A. Moreno Carnegie Mellon University Software Engineering Institute | ||
14:00 25mTalk | ADAM: Adaptive Monitoring of Runtime Anomalies in Small Uncrewed Aerial SystemsFULL Research Track Md Nafee Al Islam University of Notre Dame, Jane Cleland-Huang University of Notre Dame, Michael Vierhauser University of Innsbruck | ||
14:25 15mTalk | Towards Proactive Decentralized Adaptation of Unmanned Aerial Vehicles for Wildfire TrackingSHORT Research Track Enrique Vilchez University of Malaga, Javier Troya Universidad de Málaga, Spain, Javier Camara University of Málaga | ||
14:40 15mTalk | Wildfire-UAVSim: An Exemplar for Evaluation of Adaptive Cyber-Physical Systems in Partially-Observable EnvironmentsARTIFACT Artifact Track Enrique Vilchez University of Malaga, Javier Troya Universidad de Málaga, Spain, Javier Camara University of Málaga | ||
14:55 15mTalk | Aloft: Self-Adaptive Drone Controller TestbedARTIFACT Artifact Track Calum Imrie University of York, Rhys Howard University of Oxford, Divya Thuremella University of Oxford, Nawshin Mannan Proma University of York, Tejas Pandey University of York, Paulina Lewinska University of York, Ricardo Cannizzaro University of Oxford, Richard Hawkins University of York, Colin Paterson University of York, Lars Kunze University of Oxford, Victoria J. Hodge University of York | ||
15:10 15mTalk | Exploring the Potential of Large Language Models in Self-adaptive SystemsSHORT Research Track Jialong Li Waseda University, Japan, Mingyue Zhang Southwest University, NIANYU LI ZGC Lab, China, Danny Weyns KU Leuven, Zhi Jin Peking University, Kenji Tei Tokyo Institute of Technology | ||