A Neuro-Inspired Approach to Solve a Simultaneous Location and Mapping Task Using Shared Information in Multiple Robots Systems

Menezes, Matheus Chaves; Freitas, Edison Pignaton de; Cheng, Sen; Oliveira, Alexandre César Muniz de; Ribeiro, Paulo Rogério de Almeida

doi:10.1109/icarcv.2018.8581270

Cited by 5 publications

(1 citation statement)

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“…Data representation for robotics does not end with pose definition, and at the same time, concepts for Robot Map Data Representation for Navigation have been defined in the IEEE 1873:2015 standard (730, 2015). This standard also defines specifications for representing 2D metric and topological maps to be used for exchanging map data among robots, computers, and other devices, which is an important challenge reported in the literature (Menezes et al, 2018). The standard defined concepts for static maps, and can be enhanced to deal with moving objects and also with 3D representations of the realworld maps, as seen by robots.…”

Section: Ontologies In the Robotics Domainmentioning

confidence: 99%

Ontological concepts for information sharing in cloud robotics

Freitas

Olszewska

Carbonera

et al. 2020

J Ambient Intell Human Comput

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Recent research and developments in Cloud Robotics (CR) require appropriate knowledge representation to ensure interoperable data, information, and knowledge sharing within cloud infrastructures. As an important branch of the Internet of Things (IoT), these demands to advance it forward motivates academic and industrial sectors to invest on it. The IEEE 'Ontologies for Robotics and Automation' Working Group (ORA WG) has been developing standard ontologies for different robotic domains, including industrial and autonomous robots. The use of such robotic standards has the potential to benefit the Cloud Robotic Community (CRC) as well, supporting the provision of ubiquitous intelligent services by the CR-based systems. This paper explores this potential by developing an ontological approach for effective information sharing in cloud robotics scenarios. It presents an extension to the existing ontological standards to cater for the CR domain. The use of the new ontological elements is illustrated through its use in a couple of CR case studies. To the best of our knowledge, this is the first work ever that implements an ontology comprising concepts and axioms applicable to the CR domain.

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Section: Ontologies In the Robotics Domainmentioning

confidence: 99%