SAMI: Interactive, Multi-Sense Robot Architecture

Calzado, J.; Lindsay, Alan; Chen, C.; Samuels, Gary J.; Olszewska, Joanna Isabelle

doi:10.1109/ines.2018.8523933

Cited by 20 publications

(11 citation statements)

References 37 publications

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“…Moreover, it determines a set of basic ontological commitments, which should help robot developers and other ontologists to create models about robots, whatever robot architecture they opt for; the robot architecture being based on primitive functions such as Sense (S), Act (A), Plan (P), and Interact (I), and a derived paradigm, e.g. reactive (S-A), deliberative (S-P-A), hybrid (P, S-A), or interactive (S-A/I) one [7].…”

Section: Preliminaries: Previous Robotic Ontological Standardsmentioning

confidence: 99%

Robotic Standard Development Life Cycle in Action

Olszewska

Houghtaling

Gonçalves

et al. 2019

J Intell Robot Syst

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Robotics is a fast-growing field which requires the efficient development of adapted standards. Hence, in this paper, we propose a development methodology to support the robot standardization effort led by international, technical, and professional associations such as the Institute of Electrical and Electronics Engineers (IEEE). Our proposed standard development life cycle is a middle-out, iterative, collaborative, and incremental approach we have successfully applied to the development of the new IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems (IEEE P7007 Standard).

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Section: Preliminaries: Previous Robotic Ontological Standardsmentioning

confidence: 99%

Robotic Standard Development Life Cycle in Action

Olszewska

Houghtaling

Gonçalves

et al. 2019

J Intell Robot Syst

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“…The studied system is an interactive, heterogeneous, decentralized multi-robot system (Calzado et al , 2018) that is composed of a set of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) that belong to different organizations, such as Regional Police, Federal Police, Firefighters, Civilian Defense, and Metropolitan Guard.…”

Section: Cloud Robotic Case Studymentioning

confidence: 99%

Ontologies for cloud robotics

Freitas¹,

Bermejo–Alonso

Khamis

et al. 2020

The Knowledge Engineering Review

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Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.

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Section: Challenges Of Industry 40mentioning

confidence: 99%

“…Despite the benefits and advances promised by I4.0, the players in this arena have a wide range of challenges to cope with, from human-robot interaction (Jost et al, 2017;Calzado et al, 2018) to data analysis (Xu & Hua, 2017;Li & Niggemann, 2018). On the other hand, wireless communication are also an important factor in I4.0.…”

Section: Challenges Of Industry 40mentioning

confidence: 99%

Ontologies for Industry 4.0

Ragavan

Khamis

Fiorini³

et al. 2019

The Knowledge Engineering Review

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The current fourth industrial revolution, or 'Industry 4.0' (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

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SAMI: Interactive, Multi-Sense Robot Architecture

Cited by 20 publications

References 37 publications

Robotic Standard Development Life Cycle in Action

Robotic Standard Development Life Cycle in Action

Ontologies for cloud robotics

Ontologies for Industry 4.0

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