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Scopus Author ID: 57215829702

Biography

Manuel Boldrer received the master's degree in Mechatronic Engineering and Ph.D degree in Materials, Mechatronics and Systems Engineering from the University of Trento, Trento, Italy, respectively in 2018 and 2022. He was a Visiting Scholar at the University of California, Riverside, Riverside, US, in 2021. He was a Postdoctoral Researcher with the Cognitive Robotics Department (CoR), Delft University of Technology, Delft, The Netherlands, in the Reliable Robot Control Lab. As of today, he is a Postdoc at the Multi Robot System group (MRS), Czech Technical University, Prague, Czechia.

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Employment (2)

Czech Technical University: Prague, Czech Republic, CZ

Employment
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Manuel Boldrer

Delft University of Technology: Delft, NL

2024-12-31
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Delft University of Technology

Works (6)

Time-Inverted Kuramoto Model Meets Lissajous Curves: Multi-Robot Persistent Monitoring and Target Detection

IEEE Robotics and Automation Letters
2023-01 | Journal article
DOI: 10.1109/LRA.2022.3224661
Contributors: Manuel Boldrer; Lorenzo Lyons; Luigi Palopoli; Daniele Fontanelli; Laura Ferranti
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Multiagent Persistent Monitoring via Time-Inverted Kuramoto Dynamics

IEEE Control Systems Letters
2022 | Journal article
DOI: 10.1109/LCSYS.2022.3178294
Contributors: Manuel Boldrer; Fabio Pasqualetti; Luigi Palopoli; Daniele Fontanelli
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A unified Lloyd-based framework for multi-agent collective behaviours

Robotics and Autonomous Systems
2022-10 | Journal article
DOI: 10.1016/j.robot.2022.104207
Contributors: Manuel Boldrer; Luigi Palopoli; Daniele Fontanelli
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Multi-agent navigation in human-shared environments: A safe and socially-aware approach

Robotics and Autonomous Systems
2022-03 | Journal article
DOI: 10.1016/j.robot.2021.103979
Contributors: Manuel Boldrer; Alessandro Antonucci; Paolo Bevilacqua; Luigi Palopoli; Daniele Fontanelli
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Crossref

Graph Connectivity Control of a Mobile Robot Network With Mixed Dynamic Multi-Tasks

IEEE Robotics and Automation Letters
2021-04 | Journal article
DOI: 10.1109/LRA.2021.3061072
Contributors: Manuel Boldrer; Paolo Bevilacqua; Luigi Palopoli; Daniele Fontanelli
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Socially-Aware Reactive Obstacle Avoidance Strategy Based on Limit Cycle

IEEE Robotics and Automation Letters
2020-04 | Journal article
DOI: 10.1109/LRA.2020.2976302
Contributors: Manuel Boldrer; Marco Andreetto; Stefano Divan; Luigi Palopoli; Daniele Fontanelli
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