1 citations · 1 across the 5 of their papers we have counts for
5 papers
Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1
Event-triggered control provides a mechanism for avoiding excessive use of constrained communication bandwidth in networked multi-agent systems. However, most existing methods rely…
Efficient Human-Aware Task Allocation for Multi-Robot Systems in Shared Environments
Maryam Kazemi Eskeri, Ville Kyrki, Dominik Baumann +1
Multi-robot systems are increasingly deployed in applications, such as intralogistics or autonomous delivery, where multiple robots collaborate to complete tasks efficiently. One o…
A Lightweight Crowd Model for Robot Social Navigation
Maryam Kazemi Eskeri, Thomas Wiedemann, Ville Kyrki +2
Robots operating in human-populated environments must navigate safely and efficiently while minimizing social disruption. Achieving this requires estimating crowd movement to avoid…
Learning State-Space Models for Mapping Spatial Motion Patterns
Junyi Shi, Tomasz Piotr Kucner
Mapping the surrounding environment is essential for the successful operation of autonomous robots. While extensive research has focused on mapping geometric structures and static…
Bayesian Floor Field: Transferring people flow predictions across environments
Francesco Verdoja, Tomasz Piotr Kucner, Ville Kyrki
Mapping people dynamics is a crucial skill for robots, because it enables them to coexist in human-inhabited environments. However, learning a model of people dynamics is a time co…