On the Potential of Smarter Multi-layer Maps

Francesco Verdoja*, Ville Kyrki

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaKonferenssiesitysScientificvertaisarvioitu

Abstrakti

The most common way for robots to handle environmental information is by using maps. At present, each kind of data is hosted on a separate map, which complicates planning because a robot attempting to perform a task needs to access and process information from many different maps. Also, most often correlation among the information contained in maps obtained from different sources is not evaluated or exploited. In this paper, we argue that in robotics a shift from single-source maps to a multi-layer mapping formalism has the potential to revolutionize the way robots interact with knowledge about their environment. This observation stems from the raise in metric-semantic mapping research, but expands to include in its formulation also layers containing other information sources, e.g., people flow, room semantic, or environment topology. Such multi-layer maps, here named hypermaps, not only can ease processing spatial data information but they can bring added benefits arising from the interaction between maps. We imagine that a new research direction grounded in such multi-layer mapping formalism for robots can use artificial intelligence to process the information it stores to present to the robot task-specific information simplifying planning and bringing us one step closer to high-level reasoning in robots.
AlkuperäiskieliEnglanti
Sivumäärä4
TilaJulkaistu - 2020
OKM-julkaisutyyppiEi oikeutettu
TapahtumaIEEE International Conference on Robotics and Automation - Online
Kesto: 31 toukokuuta 202031 elokuuta 2020

Conference

ConferenceIEEE International Conference on Robotics and Automation
LyhennettäICRA
Ajanjakso31/05/202031/08/2020

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  • Projektit

    ROSE: Robotit ja hyvinvointipalvelujen tulevaisuus

    Lundell, J., Brander, T., Kyrki, V., Racca, M. & Verdoja, F.

    01/01/201831/12/2021

    Projekti: Academy of Finland: Strategic research funding

    Siteeraa tätä

    Verdoja, F., & Kyrki, V. (2020). On the Potential of Smarter Multi-layer Maps. Julkaisun esittämispaikka: IEEE International Conference on Robotics and Automation, . https://arxiv.org/abs/2005.11094