ACSOS 2025 (series) / Main Track / A Field-based Approach for Runtime Replanning in Swarm Robotics Missions
A Field-based Approach for Runtime Replanning in Swarm Robotics MissionsBest Student Paper Award
Tue 30 Sep 2025 11:00 - 11:25 at Hitotsubashi Hall - Room 3+4 - Main Track - Swarm Intelligence and Collective Behavior Chair(s): Elsy Kaddoum
Tue 30 SepDisplayed time zone: Osaka, Sapporo, Tokyo change
Tue 30 Sep
Displayed time zone: Osaka, Sapporo, Tokyo change
11:00 - 12:30 | Main Track - Swarm Intelligence and Collective BehaviorMain Track at Hitotsubashi Hall - Room 3+4 Chair(s): Elsy Kaddoum IRIT - University of Toulouse | ||
11:00 25mResearch paper | A Field-based Approach for Runtime Replanning in Swarm Robotics MissionsBest Student Paper Award Main Track Gianluca Aguzzi Alma Mater Studiorum - Università di Bologna, Martina Baiardi University of Bologna, Angela Cortecchia Alma Mater Studiorum - Università di Bologna, Branko Miloradovic , Alessandro Vittorio Papadopoulos Mälardalen University, Danilo Pianini University of Bologna, Mirko Viroli Alma Mater Studiorum - Università di Bologna | ||
11:25 25mResearch paper | Swarmalators with Discrete-Time Coupling: Which Step Size to Choose? Main Track Udo Schilcher Alpen-Adria-Universität Klagenfurt, Marcus Schref Alpen-Adria-Universität Klagenfurt, Christian Bettstetter Alpen-Adria-Universität Klagenfurt | ||
11:50 25mResearch paper | FLAg-SwaP: Distributed Federated Learning Aggregation using Particle Swarm-based Placement Main Track | ||
12:15 15mLive Q&A | Q&A and Panel Discussion Main Track | ||