Sustainability-aware Online Task and Charge Allocation for Autonomous Ground Robot Fleets (ACSOS 2024 - Main Track) - ACSOS 2024

Mon 16 - Fri 20 September 2024 Aarhus, Denmark

Who

Syeda Tanjila Atik, Daniel Grosu, Marco Brocanelli

Track

ACSOS 2024 Main Track

Time Zone

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When

Wed 18 Sep 2024 10:30 - 10:50 at Stakladen - Adaptive Coordination in Multi-Agent Systems

Syeda Tanjila Atik

Daniel Grosu

Marco Brocanelli

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program

Wed 18 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	10:30 - 12:00	Adaptive Coordination in Multi-Agent SystemsMain Track at Stakladen

	10:30 20m Research paper		Sustainability-aware Online Task and Charge Allocation for Autonomous Ground Robot Fleets Main Track Syeda Tanjila Atik , Daniel Grosu , Marco Brocanelli
	10:50 20m Research paper		Decentralized Multi-Drone Coordination for Wildlife Video Acquisition Main Track Denys Grushchak University of Bologna, Jenna Kline The Ohio State University, USA, Danilo Pianini University of Bologna, Nicolas Farabegoli , Martina Baiardi University of Bologna, Gianluca Aguzzi Alma Mater Studiorum - Università di Bologna, Christopher Stewart The Ohio State University
	11:10 10m Short-paper		Self-Assembly and Synchronization: Crafting Music with Multi-Agent Embodied Oscillators Main Track Pedro Lucas University of Oslo, Alex Szorkovszky , Stefano Fasciani , Kyrre Glette University of Oslo
	11:20 10m Short-paper		An Adaptive Multi-Agent System for Dynamic Preference Learning: Application to Mobility Main Track Alexandre Perles , Valérie Camps , Elsy Kaddoum IRIT - University of Toulouse
	11:30 30m Live Q&A		Q&A and Panel Discussion Main Track