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Your search keyword '"Aneta Vulgarakis Feljan"' showing total 2 results
Start Over Author "Aneta Vulgarakis Feljan" Publisher elsevier bv
2 results on '"Aneta Vulgarakis Feljan"'

1. The TROCA Project: An autonomous transportation robot controlled by a cognitive architecture

Author

Wandemberg Gibaut, Sender Rocha, Ian Oliveira, Aneta Vulgarakis Feljan, Eduardo Fróes, Klaus Raizer, Eric Rohmer, André Luis Ogando Paraense, and Ricardo R. Gudwin

Subjects
Computer science, Generalization, business.industry, Cognitive Neuroscience, Control (management), Experimental and Cognitive Psychology, Mobile robot, 02 engineering and technology, Cognitive architecture, Autonomous robot, 03 medical and health sciences, 0302 clinical medicine, Work (electrical), Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Robot, 020201 artificial intelligence & image processing, Architecture, Software engineering, business, 030217 neurology & neurosurgery, Software
Abstract

Autonomous mobile robots emerged as an important kind of transportation system in warehouses and factories. In this work, we present the use of MECA cognitive architecture in the development of an artificial mind for an autonomous robot responsible for multiple tasks, including transportation of packages along a factory floor, environment exploration, warehouse inventory, its internal energy management, self-monitoring and dealing with human operators and other robots. The present text provides a detailed specification for the architecture and its software implementation. Future work will present the simulation results under different configurations, together with a detailed analysis of the architecture performance and its generalization for autonomous robot control.

Published
2020

2. Knowledge Representation of Cyber-physical Systems for Monitoring Purpose

Author

Elena Fersman, Swarup Kumar Mohalik, Didem Gürdür, Ramamurthy Badrinath, Anusha Mujumdar, Aneta Vulgarakis Feljan, and Jad El-khoury

Subjects
Production Engineering, Human Work Science and Ergonomics, Computer and Information Sciences, 0209 industrial biotechnology, Knowledge management, Knowledge representation and reasoning, business.industry, Computer science, Produktionsteknik, arbetsvetenskap och ergonomi, Cyber-physical system, Data- och informationsvetenskap, Robotics, 02 engineering and technology, Business objectives, 020901 industrial engineering & automation, Robotteknik och automation, Work (electrical), 0202 electrical engineering, electronic engineering, information engineering, General Earth and Planetary Sciences, Manufacturing, Surface and Joining Technology, 020201 artificial intelligence & image processing, Bearbetnings-, yt- och fogningsteknik, business, General Environmental Science
Abstract

Automated warehouses, as a form of cyber-physical systems (CPSs), require several components to work collaboratively to address the common business objectives of complex logistics systems. During the collaborative operations, a number of key performance indicators (KPI) can be monitored to understand the proficiency of the warehouse and control the operations and decisions. It is possible to drive and monitor these KPIs by looking at both the state of the warehouse components and the operations carried out by them. Therefore, it is necessary to represent this knowledge in an explicit and formally-specified data model and provide automated methods to derive the KPIs from the representation. In this paper, we implement a minimalistic data model for a subset of warehouse resources using linked data in order to monitor a few KPIs, namely sustainability, safety and performance. The applicability of the approach and the data model is illustrated through a use case. We demonstrate that it is possible to develop minimalistic data models through Open Services for Lifecycle Collaboration (OSLC) resource shapes which enables compatibility with the declarative and procedural knowledge of automated warehouse agents specified in Planning Domain Definition Language (PDDL). QC 20180530 SCOTT

Published
2018

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