Klaus Raizer

Klaus Raizer
Ericsson · Machine Intelligence

Dr. Eng.

About

29
Publications
22,659
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180
Citations
Introduction
Klaus Raizer currently works at Ericsson Research in the area of Machine Intelligence and Automation. Klaus does research in Artificial Intelligence, Cognitive Architectures and Robotics. Current project is 'Multi-Objective Autonomous Robotics for Management and Operations of Complex Logistics Systems'.
Additional affiliations
July 2015 - January 2017
Ericsson
Position
  • Experienced Researcher
March 2010 - March 2014
University of Campinas
Position
  • PhD Student
March 2009 - March 2010
University of Campinas
Position
  • Master's Student

Publications

Publications (29)
Chapter
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. It is a work in progress, and we still have only preliminary results. Future work...
Article
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 explorati...
Article
In this paper, we present a Cognitive Manager for urban traffic control, built using MECA, the Multipurpose Enhanced Cognitive Architecture, a cognitive architecture developed by our research group and implemented in the Java language. The Cognitive Manager controls a set of traffic lights in a junction of roads based on information collected from...
Conference Paper
Full-text available
Today, complex logistics operations include different levels of communication and interactions. This paper explores the requirements of these operations and conceptualizes important key performance indicators, stakeholders, and different data visualizations to support the stakeholders in order to understand interactions between entities easier and...
Article
In this paper, we present an overview of MECA, the Multipurpose Enhanced Cognitive Architecture, a cognitive architecture developed by our research group and implemented in the Java language. MECA was designed based on many ideas coming from Dual Process Theory, Dynamic Subsumption, Conceptual Spaces and Grounded Cognition, and constructed using CS...
Article
Full-text available
In this paper, we present an introduction to MECA, the Multipurpose Enhanced Cognitive Architecture, a cognitive architecture developed by our research group and implemented in the Java language. MECA was designed based on many ideas coming from Dual Process Theory, Dynamic Subsumption, Conceptual Spaces and Grounded Cognition, and constructed usin...
Conference Paper
Human-machine interactions are likely to require synergistic multidisciplinary research efforts for supporting a paradigm shift towards collaborative-oriented use cases. An essential aspect of collaboration is trust and in order to establish it there is need for Human-Machine Mutual Understanding (HMMU). We argue that achieving HMMU will require ev...
Conference Paper
In this paper, we present a generic framework for knowledge man- agement and automated reasoning (KMARF) as an enabler for intelli- gent adaptive systems. KMARF targets multiple reasoning problem classes (such as planning, veri cation and optimization) that can share the same underlying system state representation. e idea behind KMARF is to automat...
Article
Full-text available
Cyber-Physical Systems in general, and Intelligent Transport Systems (ITS) in particular use heterogeneous data sources combined with problem solving expertise in order to make critical decisions that may lead to some form of actions e.g., driver notifications, change of traffic light signals and braking to prevent an accident. Currently, a major p...
Article
Full-text available
Internet of Things (IoT) applications transcend traditional telecom to include enterprise verticals such as transportation, healthcare, agriculture, energy and utilities. Given the vast number of devices and heterogeneity of the applications, both ICT infrastructure and IoT application providers face unprecedented complexity challenges in terms of...
Article
In this paper, we introduce the Cognitive Systems Toolkit (CST) and its underlying CST Reference Cognitive Architecture. CST is a general toolkit for the construction of cognitive architectures, which relies on a set of concepts which are familiar to many other cognitive architecture and constitute CST’s core. This core is general enough such that...
Article
In this work, we present a distributed cognitive architecture used to control the traffic in an urban network. This architecture relies on a machine consciousness approach – Global Workspace Theory – in order to use competition and broadcast, allowing a group of local traffic controllers to interact, resulting in a better group performance. The mai...
Conference Paper
This work presents a platform for the development of a functional prototype for assistive robotic vehicles supporting various control strategies in the context of a smart environment. The implemented framework allows an operator with a disability to interact with a smart environment by means of handfree devices (small movements of the face or limbs...
Conference Paper
Full-text available
This paper presents the preliminary effort at CPqD for transitioning part of its legacy software system to a cloud-enabled environment. We review the major strategies for cloud migration and propose a roadmap with four steps for gradual migration of legacy systems to a cloud environment. CPqD myNet, a subset of CPqD’s broader Operation Support Syst...
Article
This paper presents an algorithm for action selection, in the context of intelligent agents, capable of learning from rewards which are sparse in time. Inspiration for the proposed algorithm was drawn from computational neuroscience models of how the human prefrontal cortex (PFC) works. We have observed that this abstraction provides some advantage...
Conference Paper
This work describes the development of an intelligent agent responsible for making relevant action suggestions to a BCI user in the context of an intelligent environment. For the development of this agent, a modified version of a behavior network, embedded into a neuroscience inspired cognitive architecture, has been implemented. A new soft-precond...
Article
Full-text available
The main motivation for this work is to investigate the advantages provided by machine consciousness, while in the control of software agents. In order to pursue this goal, we developed a cognitive architecture, with different levels of machine consciousness, targeting the control of artificial creatures. As a standard guideline, we applied cogniti...
Article
The advantages given by machine consciousness to the control of software agents were reported to be very appealing. The main goal of this work is to develop artificial creatures, controlled by cognitive architectures, with different levels of machine consciousness. To fulfil this goal, we propose the application of cognitive neuroscience concepts t...
Conference Paper
Full-text available
This work presents the implementation of Feedforward Multi-Layer Perceptron (FFMLP) Neural Networks on General-purpose computing graphics processing units (GPU) by using CUDA programming language (Compute Unified Device Architecture). The paper presents an introduction to how data is decomposed and processed in a GPU in order to take advantage of i...
Article
Full-text available
The high efficiency combustion of flexfuel engine depends on the precise determination of the alcohol-gasoline ratios. Presently, commercial technique available uses the Lambda probe, a post-combustion sensor to analyze the exhaust gases (after combustion). This ratio can be measured in real-time using an optical fiber sensor. In the present resear...
Article
Full-text available
The digital beam position monitors manufactured by the Slovenian company I-Tech have emerged as a rich tool for diagnostics, extending measurement capabilities and allowing routine execution of a wide variety of machine physics experiments. This paper reports on the LNLS experience with a Libera Brilliance unit through the realization of a set of e...
Article
Environmental problems caused by the burning of fossil fuel in conjunction with the high cost of oil have been demanded the development of flexfuel vehicles, a major innovation, as ethanol-gasoline mixture produces a relatively cleaner post-combustion emission in comparison to gasoline. However, the high efficiency burning of this dual-fuel engine...
Article
Brazilian Bioethanol is produced by the fermentation process of sugar cane juice. The fermentation is the bio-chemical process that converts sugar into ethanol, with the help of micro organisms. Fermented sugar cane juice is distilled under controlled conditions of pressure and temperature. After first distillation the ethanol solution contains, ap...

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Projects

Projects (2)
Project
Research Questions How should be a control architecture enabling high degrees of autonomy to a mobile robot ? - Minimizing human intervention - Maximizing safety, reliability and robustness to non-predictable situations - Minimizing external a priori information regarding the environment, learning from it and adapting to it - Interacting with and among human beings, collaborating with them - Compliant with Industry 4.0 / Industrial Internet of Things concepts Research Challenges Specific Short-Term Research Challenges - Study and understanding the interaction between automatic instantaneous reactive actions (system 1 behaviors in MECA) with multi- steps time-spaned deliberative actions (system 2 behaviors in MECA) • Default reflexes x Long-term planned sequences of actions • Planned x Oportunistic decisions - How to use episodic memory to automatize behavior based on experienced situations - Prioritizing among multiple plans and switching between them on real time • Abstract plans and schedule them for execution in real time • Re-planning - Learning the environment and creating a growing model of it • Deep Learning Convolutional Neural Networks • HTMs (Hierarchical Temporal Memories)
Project
We will explore the interplay between multi-objective computational intelligence approaches and autonomous robotics for managing complex logistics operations. In typical scenarios, each node of a supply network e.g. suppliers, warehouses, retailers has little information about the current states of the nodes affecting them. Such lack of information leaves no choice but to react to incoming orders from other nodes by relying on static business policies in order to fulfill production, inventory replenishment, storage, and delivery requests. As a consequence, achieving adequate service levels under acceptable costs can become very challenging. Vendor-Managed Inventory (VMI) approaches, where the supplier assumes full responsibility of replenishing the retailers inventories, can alleviate this problem by taking advantage of increased integration between nodes and conducting proactive automated operations for reducing supply demand gaps. This project aims to model and simulate intelligent, automated VMI strategies allowing for efficient real-time integration of warehouse operations with multi-retailer inventory replenishment tasks. We will design the simulated environment with V-REP, a comprehensive robot simulator, where an autonomous industrial robot receives instructions generated by a multi-objective evolutionary algorithm running in real-time, aiming to simultaneously maximize profit and minimize shortage and surplus risks, while deciding on-the-fly which and how many products should be delivered to which retailers and when. Action selection is performed by monitoring inventory levels and stochastic customer ordering events at the retailers. In summary, the project initial goals are (1) to expose multiple criteria decision-making concepts for supporting real-time expression of different degrees of risk aversion preferences; (2) to expose how retailer inventory control can lead to a sequence of warehouse pickup and delivery problems with deadlines; and (3) to demonstrate the cascading effects on the simulated robot behavior of demand events in the retailers side that can disrupt the supplier’s service level capacity.