Zobrazeno 1 - 10 of 67 pro vyhledávání: '"Carlo Pinciroli"'
1
Akademický článek
Coherent movement of error-prone individuals through mechanical coupling
Autor: Federico Pratissoli, Andreagiovanni Reina, Yuri Kaszubowski Lopes, Carlo Pinciroli, Genki Miyauchi, Lorenzo Sabattini, Roderich Groß
Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract We investigate how reliable movement can emerge in aggregates of highly error-prone individuals. The individuals—robotic modules—move stochastically using vibration motors. By coupling them via elastic links, soft-bodied aggregates can b
Externí odkaz: https://doaj.org/article/168dc6bf900c41928eeacec6f695cba2
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3
Akademický článek
A Tuple Space for Data Sharing in Robot Swarms
Autor: Carlo Pinciroli, Adam Lee-Brown, Giovanni Beltrame
Publikováno v: EAI Endorsed Transactions on Collaborative Computing, Vol 2, Iss 9, Pp 1-8 (2016)
In this paper, we present a system to allow a swarm of robots to agree on a set of (key,value) pairs. This system enables a form of information sharing that has the potential to be an asset for coordination in complex environments, such as globally o
Externí odkaz: https://doaj.org/article/1e6c29a397b44b1c94dea5bfe7e13239
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4
On multi-human multi-robot remote interaction: a study of transparency, inter-human communication, and information loss in remote interaction
Autor: Jayam Patel, Prajankya Sonar, Carlo Pinciroli
Publikováno v: Swarm Intelligence. 16:107-142
In this paper, we investigate how to design an effective interface for remote multi-human multi-robot interaction. While significant research exists on interfaces for individual human operators, little research exists for the multi-human case. Yet, t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69fb5d1a42e49e1e61427592dab6173c
https://doi.org/10.1007/s11721-021-00209-2
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6
Distributed Data Storage and Fusion for Collective Perception in Resource-Limited Mobile Robot Swarms
Autor: Tim Antonelli, Carlo Pinciroli, Daniel Jeswin Nallathambi, Nathalie Majcherczyk
Publikováno v: IEEE Robotics and Automation Letters. 6:5549-5556
In this paper, we propose an approach to the distributed storage and fusion of data for collective perception in resource-limited robot swarms. We demonstrate our approach in a distributed semantic classification scenario. We consider a team of mobil
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5329c8192e8282ba4f3b37042cf9c90b
https://doi.org/10.1109/lra.2021.3076962
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8
Air-Releasable Soft Robots for Explosive Ordnance Disposal
Autor: Tyler C. Looney, Nathan M. Savard, Gus T. Teran, Archie G. Milligan, Ryley I. Wheelock, Michael Scalise, Daniel P. Perno, Gregory C. Lewin, Carlo Pinciroli, Cagdas D. Onal, Markus P. Nemitz
The demining of landmines using drones is challenging; air-releasable payloads are typically non-intelligent (e.g., water balloons or explosives) and deploying them at even low altitudes (~6 meter) is inherently inaccurate due to complex deployment t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57de488252ff8f7a6a83e78966b11ccf
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