IEEE Intelligent Systems

Issue 6 • November/December 2017

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Displaying Results 1 - 18 of 18
  • Cover 
  • Front Cover

    Publication Year: 2017, Page(s): c1
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  • IEEE Computer Society

    Publication Year: 2017, Page(s): c2
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  • Table of Contents 
  • Table of contents

    Publication Year: 2017, Page(s):1 - 2
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  • Guest Editors’ Introduction 
  • Multirobot Systems

    Publication Year: 2017, Page(s):3 - 5
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  • Multirobot Systems 
  • Overview: A Hierarchical Framework for Plan Generation and Execution in Multirobot Systems

    Publication Year: 2017, Page(s):6 - 12
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (977 KB) | HTML iconHTML

    The authors present an overview of a hierarchical framework for coordinating task- and motion-level operations in multirobot systems. Their framework is based on the idea of using simple temporal networks to simultaneously reason about precedence/causal constraints required for task-level coordination and simple temporal constraints required to take some kinematic constraints of robots into accoun... View full abstract»

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  • Take the CS Library wherever you go!

    Publication Year: 2017, Page(s): 13
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  • Multirobot Systems 
  • Robots in Retirement Homes: Person Search and Task Planning for a Group of Residents by a Team of Assistive Robots

    Publication Year: 2017, Page(s):14 - 21
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (9655 KB) | HTML iconHTML

    The authors present a general multirobot task planning and execution architecture for a team of heterogeneous mobile robots that interact with multiple human users. The designed architecture is implemented in an environment where such robots provide daily assistance to residents in a retirement home setting. The robots are able to allocate and schedule activities throughout the day and find the ap... View full abstract»

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  • Robust Tracking of Soccer Robots Using Random Finite Sets

    Publication Year: 2017, Page(s):22 - 29
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (447 KB) | HTML iconHTML

    Maintaining a good estimation of the other robots' positions is crucial in soccer robotics, as in most multirobot systems applications. Classical approaches use a vector representation of the robots' positions and Bayesian filters to propagate them over time. However, these approaches suffer from the data association problem. To tackle this issue, this article presents a new methodology for the ro... View full abstract»

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  • Performance Estimation and Dimensioning of Team Size for Multirobot Patrol

    Publication Year: 2017, Page(s):30 - 38
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (407 KB) | HTML iconHTML

    The performance of multirobot patrolling teams heavily relies on the number of cooperative mobile robots that carry out the patrol mission. In the deployment phase, such systems are typically dimensioned to guarantee a given performance criterion. However, this is often done empirically using trial and error approaches. This article investigates the problem of estimating the performance of teams o... View full abstract»

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  • Got flaws? [advertisement]

    Publication Year: 2017, Page(s): 39
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  • Multirobot Systems 
  • On Gathering and Control of Unicycle A(ge)nts with Crude Sensing Capabilities

    Publication Year: 2017, Page(s):40 - 46
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (6525 KB) | HTML iconHTML

    The authors present a local rule of behavior for extremely simple unicycle agents that can only detect the presence of other agents in a visibility sector directly in front of them. Following this simple rule of interaction, the agents gather and remain close to one another, without ever acquiring any information on exact distances or bearings toward any other agent. The simplicity of the agents a... View full abstract»

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  • Impact a broader audience

    Publication Year: 2017, Page(s): 47
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  • Multirobot Systems 
  • Multirobot Exploration of Communication-Restricted Environments: A Survey

    Publication Year: 2017, Page(s):48 - 57
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (876 KB) | HTML iconHTML

    Exploration of initially unknown environments is an online task in which autonomous mobile robots coordinate themselves to efficiently discover free spaces and obstacles. Several efforts have been devoted to study coordinated multirobot exploration assuming that communication is possible between any two locations. The problem of developing multirobot systems for effective exploration in the presen... View full abstract»

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  • Agent-Based Systems 
  • ACP-Based Management and Control for Urban Passenger Transportation Hubs

    Publication Year: 2017, Page(s):58 - 66
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2307 KB) | HTML iconHTML

    Accurate assessment and effective control of urban passenger transportation hub operations are an area that traditional methods have yet to address satisfactorily. This article presents a framework for parallel management and control based on the artificial societies, computational experiments, and parallel execution (ACP) paradigm. The authors first introduce the components, internal interactions... View full abstract»

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  • Human-Centered Computing 
  • Why Expertise Matters: A Response to the Challenges

    Publication Year: 2017, Page(s):67 - 73
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (285 KB) | HTML iconHTML

    Five different scientific communities are challenging the abilities of experts and even the very concept of expertise: the decision research community, the sociology community, the heuristics and biases community, the evidence-based practices community, and the computer science community (including the fields of artificial intelligence, automation, and big data). Although each of these communities... View full abstract»

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  • Affective Computing and Sentiment Analysis 
  • Sentiment Analysis Is a Big Suitcase

    Publication Year: 2017, Page(s):74 - 80
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (249 KB) | HTML iconHTML

    Although most works approach it as a simple categorization problem, sentiment analysis is actually a suitcase research problem that requires tackling many natural language processing (NLP) tasks. The expression “sentiment analysis” itself is a big suitcase (like many others related to affective computing, such as emotion recognition or opinion mining) that all of us use to encapsulat... View full abstract»

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  • Prepare to Connect

    Publication Year: 2017, Page(s): c3
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  • Looking for the BEST Tech Job for You?

    Publication Year: 2017, Page(s): c4
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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

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Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona