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2016

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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Design And Evaluation Of Designer Feedback System In Design For Manufacturability, Prashant Barnawal, Michael Dorneich, Frank Peters, Matthew Frank Dec 2016

Design And Evaluation Of Designer Feedback System In Design For Manufacturability, Prashant Barnawal, Michael Dorneich, Frank Peters, Matthew Frank

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

The aim of the study is to develop and evaluate a prototype designer feedback tool to give manufacturability feedback information to design engineers early at the conceptual design stage. Providing design engineers early manufacturability information on their designs helps them to improve manufacturing quality of their designs thus reducing the overall cost and lead time to manufacture. The Three Dimensional Integrated Feedback (3DIF) system is designed to be a manufacturing visualization feedback tool that is generalizable, automated, usable, inexpensive and portable. Feedback given to design engineers can be in various modalities, including verbal, text, 2D drawings, or 3D. Information abstraction ...


Energy-Climate-Manufacturing Nexus: New Insights From The Regional And Global Supply Chains Of Manufacturing Industries, Murat Kucukvar, Bunyamin Canseva, Gokhan Egilmez, Nuri C. Onat, Hamidreza Samadi Dec 2016

Energy-Climate-Manufacturing Nexus: New Insights From The Regional And Global Supply Chains Of Manufacturing Industries, Murat Kucukvar, Bunyamin Canseva, Gokhan Egilmez, Nuri C. Onat, Hamidreza Samadi

Mechanical and Industrial Engineering Faculty Publications

The main objectives of this research are to improve our understanding of energy-climate-manufacturing nexus within the context of regional and global manufacturing supply chains as well as show the significance of full coverage of entire supply chain tiers in order to prevent significant underestimations, which might lead to invalid policy conclusions. With this motivation, a multi region input–output (MRIO) sustainability assessment model is developed by using the World Input–Output Database, which is a dynamic MRIO framework on the world’s 40 largest economies covering 1440 economic sectors. The method presented in this study is the first environmentally-extended MRIO ...


Comparing Three Instructional Modes For An Engineering Economy Course, Farnaz Ghazi Nezami, M. B. Yildirim, G. Grossi Crema Dec 2016

Comparing Three Instructional Modes For An Engineering Economy Course, Farnaz Ghazi Nezami, M. B. Yildirim, G. Grossi Crema

Industrial & Manufacturing Engineering Publications

This study compares three instructional modes in an “Engineering Economy” course: online, face-to-face (FtF), and flipped. Engineering Economy is a core course in this study and incorporates students with diverse backgrounds from different engineering majors. To discern the relation between student characteristics and teaching modality, an online questionnaire was designed for each mode and distributed over a two-year period. Data was collected and several statistical analyses were conducted to study the relationship between pedagogical delivery modes and various student-based factors such as gender, age, course load, living distance from campus, computer skills, work status, and first language. Students’ performance, persistence ...


Comparative Design, Scaling, And Control Of Appendages For Inertial Reorientation, Thomas Libby, Aaron M Johnson, Evan Chang-Sui, R J. Full, Daniel E. Koditschek Dec 2016

Comparative Design, Scaling, And Control Of Appendages For Inertial Reorientation, Thomas Libby, Aaron M Johnson, Evan Chang-Sui, R J. Full, Daniel E. Koditschek

Departmental Papers (ESE)

This paper develops a comparative framework for the design of an actuated inertial appendage for planar reorientation. We define the Inertial Reorientation template, the simplest model of this behavior, and leverage its linear dynamics to reveal the design constraints linking a task with the body designs capable of completing it. As practicable inertial appendage designs lead to physical bodies that are generally more complex, we advance a notion of “anchoring” whereby a judicious choice of physical design in concert with an appropriate control policy yields a system whose closed loop dynamics are sufficiently captured by the template as to permit ...


A Hybrid Simulation Model For Urban Weatherization Programs, Caroline Krejci, Michael Dorneich, Ulrike Passe, Nathan Peters Dec 2016

A Hybrid Simulation Model For Urban Weatherization Programs, Caroline Krejci, Michael Dorneich, Ulrike Passe, Nathan Peters

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

In the face of climate change, cities are becoming interested in developing policies and programs that will increase sustainability and resilience in their neighborhoods. In particular, government officials, planning agencies, and residents of the City of Des Moines, Iowa, would like to find ways to improve the energy efficiency of their urban built environment. Weatherization of residential buildings is one way of reducing energy consumption, particularly in winter months. While financial incentives might increase residents' adoption of weatherization measures, research has shown that social interactions more strongly influence this decision. To enable stakeholders to explore different scenarios for encouraging weatherization ...


Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen Dec 2016

Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen

Research Collection School Of Information Systems

The Orienteering Problem (OP) has received a lot of attention in the past few decades. The OP is a routing problem in which the goal is to determine a subset of nodes to visit, and in which order, so that the total collected score is maximized and a given time budget is not exceeded. A number of typical variants has been studied, such as the Team OP, the (Team) OP with Time Windows and the Time Dependent OP. Recently, a number of new variants of the OP was introduced, such as the Stochastic OP, the Generalized OP, the Arc OP ...


Managing Egress Of Crowd During Infrastructure Disruption, Teck Hou Teng, Shih-Fen Cheng, Trong-Nghia Truong, Hoong Chuin Lau Dec 2016

Managing Egress Of Crowd During Infrastructure Disruption, Teck Hou Teng, Shih-Fen Cheng, Trong-Nghia Truong, Hoong Chuin Lau

Research Collection School Of Information Systems

In a large indoor environment such as a sports arena or convention center, smooth egress of crowd after an event can be seriously affected if infrastructure such as elevators and escalators break down. In this paper, we propose a novel crowd simulator known as SIM-DISRUPT for simulating egress scenarios in non-emergency situations. To surface the impact of disrupted infrastructure on the egress of crowd, SIM-DISRUPT includes features that allow users to specify selective disruptions as well as strategies for controlling the distribution and egress choices of crowd. Using SIM-DISRUPT, we investigate effects of crowd distribution, egress choices and infrastructure disruptions ...


An Agent-Based Approach To Human Migration Movement, Larry Lin, Kathleen M. Carley, Shih-Fen Cheng Dec 2016

An Agent-Based Approach To Human Migration Movement, Larry Lin, Kathleen M. Carley, Shih-Fen Cheng

Research Collection School Of Information Systems

How are the populations of the world likely to shift? Which countries will be impacted by sea-level rise? This paper uses a country-level agent-based dynamic network model to examine shifts in population given network relations among countries, which influences overall population change. Some of the networks considered include: alliance networks, shared language networks, economic influence networks, and proximity networks. Validation of model is done for migration probabilities between countries, as well as for country populations and distributions. The proposed framework provides a way to explore the interaction between climate change and policy factors at a global scale.


Traffic Simulation Model For Port Planning And Congestion Prevention, Baoxiang Li, Kar Way Tan, Trong Khiem Tran Dec 2016

Traffic Simulation Model For Port Planning And Congestion Prevention, Baoxiang Li, Kar Way Tan, Trong Khiem Tran

Research Collection School Of Information Systems

Effective management of land-side transportation provides the competitive advantage to port terminal operators in improving services and efficient use of limited space in an urban port. We present a hybrid simulation model that combines traffic-flow modeling and discrete-event simulation for land-side port planning and evaluation of traffic conditions for a number of what-if scenarios. We design our model based on a real-world case of a bulk cargo port. The problem is interesting due to complexity of heterogeneous closed-looped internal vehicles and external vehicles traveling in spaces with very limited traffic regulation (no traffic lights, no traffic wardens) and the traffic ...


Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen Dec 2016

Orienteering Problem: A Survey Of Recent Variants, Solution Approaches And Applications, Aldy Gunawan, Hoong Chuin Lau, Pieter Vansteenwegen

Research Collection School Of Information Systems

The Orienteering Problem (OP) has received a lot of attention in the past few decades. The OP is a routing problem in which the goal is to determine a subset of nodes to visit, and in which order, so that the total collected score is maximized and a given time budget is not exceeded. A number of typical variants has been studied, such as the Team OP, the (Team) OP with Time Windows and the Time Dependent OP. Recently, a number of new variants of the OP was introduced, such as the Stochastic OP, the Generalized OP, the Arc OP ...


Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low Dec 2016

Predicting The Performance Of Queues: A Data Analytic Approach, Kum Khiong Yang, Cayirli Tugba, Mei Wan Low

Research Collection Lee Kong Chian School Of Business

Existing models of multi-server queues with system transience and non-standard assumptions are either too complex or restricted in their assumptions to be used broadly in practice. This paper proposes using data analytics, combining computer simulation to generate the data and an advanced non-linear regression technique called the Alternating Conditional Expectation (ACE) to construct a set of easy-to-use equations to predict the performance of queues with a scheduled start and end time. Our results show that the equations can accurately predict the queue performance as a function of the number of servers, mean arrival load, session length and service time variability ...


Mindfulness-Based Safety: Increasing Attention To Task In Alberta’S Oil And Gas Drilling And Completions Operations, Darrah E.M. Wolfe Nov 2016

Mindfulness-Based Safety: Increasing Attention To Task In Alberta’S Oil And Gas Drilling And Completions Operations, Darrah E.M. Wolfe

Master of Applied Positive Psychology (MAPP) Capstone Projects

With studies demonstrating mind-wandering to be associated with failure to perform monitoring procedural steps, a deficiency in being able to call information to mind, more false alarms, and a reduction in task performance, we cannot afford to continue to overlook the potential impact mind-wandering has on human behavior in high-risk environments within the Alberta oil and gas industry. This paper gives consideration to mindfulness-based interventions, a domain of positive psychology, for reducing the occurrence of mind-wandering and improving attention to a task. It is from a foundation of research explored in the literature reviews of mind-wandering and mindfulness, that I ...


Human Performance Risks And Benefits Of Adaptive Systems On The Flight Deck, Michael C. Dorneich, William Rogers, Stephen D. Whitlow, Robert Demers Nov 2016

Human Performance Risks And Benefits Of Adaptive Systems On The Flight Deck, Michael C. Dorneich, William Rogers, Stephen D. Whitlow, Robert Demers

Industrial and Manufacturing Systems Engineering Publications

Objective. Human performance risks and benefits of adaptive systems were identified through a systematic analysis and pilot evaluation of adaptive system component types and characteristics. Background. As flight-deck automation is able to process ever more types of information in sophisticated ways to identify situations, it is becoming more realistic for adaptive systems to adapt behavior based on their own authority. Method. A framework was developed to describe the types and characteristics of adaptive system components and was used to perform a risk/benefit analysis to identify potential issues. Subsequently, eight representative adaptive system storyboards were developed for an evaluation with ...


Evolution Of An Innovation Capability - Making Crowdsourcing Work Within A Large Enterprise, Calvin Smith, Sebastian K. Fixson, Carlos Paniagua-Ferrari, Salvatore Parise Nov 2016

Evolution Of An Innovation Capability - Making Crowdsourcing Work Within A Large Enterprise, Calvin Smith, Sebastian K. Fixson, Carlos Paniagua-Ferrari, Salvatore Parise

Technology, Operations & Information Management Working Papers

As a form of crowdsourcing, idea competitions offer a mechanism to engage larger groups in innovation activities. While much of the literature on crowdsourcing focuses on idea competitions that cross a firm’s boundaries to engage external partners, relatively little is known about how this approach can be used within large companies, to engage the internal community. We describe how an internal idea competition in a large company has evolved over time into a much broader innovation management system that supports a range of different types of innovations, and how it has altered the firm’s overall approach to innovation ...


Technological Uncertainty And Firm Boundaries: The Moderating Effect Of Knowledge Modularity, Sebastian K. Fixson, Davit Khachatryan, Wonhee Lee Nov 2016

Technological Uncertainty And Firm Boundaries: The Moderating Effect Of Knowledge Modularity, Sebastian K. Fixson, Davit Khachatryan, Wonhee Lee

Technology, Operations & Information Management Working Papers

Abstract

One fundamental challenge of technology and innovation management is for firms to decide which future technologies to develop in-house vs. buying them outside. This challenge is particularly pertinent when industries emerge, typically a time of high levels of technological uncertainty. It has been long understood that technological uncertainty functions as important stimulus for firms to manage their boundaries. However, two to some extent competing strategy perspectives – governance and competence – predict that firms faced with uncertainty would either increase or decrease their scope of activities, respectively. To reconcile these conflicting positions, we propose a model in which knowledge modularity moderates ...


Technology Trajectory Mapping Using Data Envelopment Analysis: The Ex-Ante Use Of Disruptive Innovation Theory On Flat Panel Technologies, Dong-Joon Lim, Timothy R. Anderson Nov 2016

Technology Trajectory Mapping Using Data Envelopment Analysis: The Ex-Ante Use Of Disruptive Innovation Theory On Flat Panel Technologies, Dong-Joon Lim, Timothy R. Anderson

Engineering and Technology Management Faculty Publications and Presentations

In this paper, we propose a technology trajectory mapping approach using Data Envelopment Analysis (DEA) that scrutinizes technology progress patterns from multidimensional perspectives. Literature reviews on technology trajectory mappings have revealed that it is imperative to identify key performance measures that can represent different value propositions and then apply them to the investigation of technology systems in order to capture indications of the future disruption. The proposed approach provides a flexibility not only to take multiple characteristics of technology systems into account but also to deal with various tradeoffs among technology attributes by imposing weight restrictions in the DEA model ...


Combining Max-Min And Max-Max Approaches For Robust Sos Architecting, Hadi Farhangi, Dincer Konur, Cihan H. Dagli Nov 2016

Combining Max-Min And Max-Max Approaches For Robust Sos Architecting, Hadi Farhangi, Dincer Konur, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

A System of Systems (SoS) architecting problem requires creating a selection of systems in order to provide a set of capabilities. SoS architecting finds many applications in military/defense projects. In this paper, we study a multi-objective SoS architecting problem, where the cost of the architecture is minimized while its performance is maximized. The cost of the architecture is the summation of the costs of the systems to be included in the SoS. Similarly, the performance of the architecture is defined as the sum of the performance of the capabilities, where the performance of a capability is the sum of ...


Using Neural Networks To Forecast Volatility For An Asset Allocation Strategy Based On The Target Volatility, Youngmin Kim, David Lee Enke Nov 2016

Using Neural Networks To Forecast Volatility For An Asset Allocation Strategy Based On The Target Volatility, Youngmin Kim, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

The objective of this study is to use artificial neural networks for volatility forecasting to enhance the ability of an asset allocation strategy based on the target volatility. The target volatility level is achieved by dynamically allocating between a risky asset and a risk-free cash position. However, a challenge to data-driven approaches is the limited availability of data since periods of high volatility, such as during financial crises, are relatively rare. To resolve this issue, we apply a stability-oriented approach to compare data for the current period to a past set of data for a period of low volatility, providing ...


Application Of Neural Network In Shop Floor Quality Control In A Make To Order Business, Rajkamal Kesharwani, Cihan H. Dagli, Zeyi Sun Nov 2016

Application Of Neural Network In Shop Floor Quality Control In A Make To Order Business, Rajkamal Kesharwani, Cihan H. Dagli, Zeyi Sun

Engineering Management and Systems Engineering Faculty Research & Creative Works

A make to order business has to produce the products that are customized to the customer's current need. The customization can be realized by assembling different standard parts with various 'configurations'. The oil field service industry is a typical example where most products produced are cylindrical assemblies made up of standard parts customized in their size, material specifications, coating specifications, and threading suited for the particular load rating and environment. As business cycles go up and down, hiring and firing of personnel is the routine of the day. Thus, it is very hard to keep experienced inspectors due to ...


Application Of An Artificial Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns, Cihan H. Dagli Nov 2016

Application Of An Artificial Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents a neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A multi-layer feedforward network with backpropagation learning is used as the model framework. The model is trained, tested, and validated using 5100 student samples with data compiled from admissions records and institutional research databases. Nine input variables consist of categorical and numeric data elements including: high school rank, high school quality, standardized test scores, high school faculty assessments, extra-curricular activity score, parent's education status, and time since high school graduation. These inputs and the multi-layer neural network model are ...


Engineering Cyber Physical Systems: Applying Theory To Practice Preface, Cihan H. Dagli Nov 2016

Engineering Cyber Physical Systems: Applying Theory To Practice Preface, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.


Entity Resolution Using Convolutional Neural Network, Ram Deepak Gottapu, Cihan H. Dagli, Bharami Ali Nov 2016

Entity Resolution Using Convolutional Neural Network, Ram Deepak Gottapu, Cihan H. Dagli, Bharami Ali

Engineering Management and Systems Engineering Faculty Research & Creative Works

Entity resolution is an important application in field of data cleaning. Standard approaches like deterministic methods and probabilistic methods are generally used for this purpose. Many new approaches using single layer perceptron, crowdsourcing etc. are developed to improve the efficiency and also to reduce the time of entity resolution. The approaches used for this purpose also depend on the type of dataset, labeled or unlabeled. This paper presents a new method for labeled data which uses single layered convolutional neural network to perform entity resolution. It also describes how crowdsourcing can be used with the output of the convolutional neural ...


Evaluating Forecasting Methods By Considering Different Accuracy Measures, Nijat Mehdiyev, David Lee Enke, Peter Fettke, Peter Loos Nov 2016

Evaluating Forecasting Methods By Considering Different Accuracy Measures, Nijat Mehdiyev, David Lee Enke, Peter Fettke, Peter Loos

Engineering Management and Systems Engineering Faculty Research & Creative Works

Choosing the appropriate forecasting technique to employ is a challenging issue and requires a comprehensive analysis of empirical results. Recent research findings reveal that the performance evaluation of forecasting models depends on the accuracy measures adopted. Some methods indicate superior performance when error based metrics are used, while others perform better when precision values are adopted as accuracy measures. As scholars tend to use a smaller subset of accuracy metrics to assess the performance of forecasting models, there is a need for a concept of multiple accuracy dimensions to assure the robustness of evaluation. Therefore, the main purpose of this ...


Genetic Algorithm Optimization Of Sos Meta-Architecture Attributes For Fuzzy Rule Based Assessments, Andrew Renault, Cihan H. Dagli Nov 2016

Genetic Algorithm Optimization Of Sos Meta-Architecture Attributes For Fuzzy Rule Based Assessments, Andrew Renault, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The analysis of an acknowledged systems of systems (SoS) meta-architecture requires a preliminary method for potential trade space exploration to ensure compliance to evolving capability requirements. It is important to assess the SoS meta-architecture concept to ensure that it satisfies all stakeholder needs and requirements in the early stages of development. There are numerous linguistic terms called key performance attributes (KPAs) that could be used to assess the different aspects of the architectures capabilities, however, too many KPAs could complicate the assessment. The initial population of suitable KPAs is reduced through non-derivative based optimization employed by a genetic algorithm (GA ...


Multiobjective System Of Systems Architecting With Performance Improvement Funds, Hadi Farhangi, Dincer Konur, Cihan H. Dagli Nov 2016

Multiobjective System Of Systems Architecting With Performance Improvement Funds, Hadi Farhangi, Dincer Konur, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

A System of Systems architecting problem aims to determine a selection of systems, which are capable of providing a set of desired capabilities. A SoS architect usually has multiple objectives in generating efficient architectures such as minimization of the total cost and maximization the overall performance of the SoS. This study formulates a biobjective SoS architecting problem with these two objectives. Here, we consider that, by allocating funds to the systems, the SoS architect can improve the performance of the capabilities the systems can provide. The resulting architecting problem is a biobjective mixed-integer linear programming model. Specifically, the system selection ...


Shape Analysis Of Traffic Flow Curves Using A Hybrid Computational Analysis, Wasim Irshad Kayani, Shikhar P. Acharya, Ivan G. Guardiola, Donald C. Wunsch, B. Schumacher, Isaac Wagner-Muns Nov 2016

Shape Analysis Of Traffic Flow Curves Using A Hybrid Computational Analysis, Wasim Irshad Kayani, Shikhar P. Acharya, Ivan G. Guardiola, Donald C. Wunsch, B. Schumacher, Isaac Wagner-Muns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper highlights and validates the use of shape analysis using Mathematical Morphology tools as a means to develop meaningful clustering of historical data. Furthermore, through clustering more appropriate grouping can be accomplished that can result in the better parameterization or estimation of models. This results in more effective prediction model development. Hence, in an effort to highlight this within the research herein, a Back-Propagation Neural Network is used to validate the classification achieved through the employment of MM tools. Specifically, the Granulometric Size Distribution (GSD) is used to achieve clustering of daily traffic flow patterns based solely on their ...


Core Actuation Promotes Self-Manipulability On A Direct-Drive Quadrupedal Robot, Jeff Duperret, Benjamin Kramer, Daniel E. Koditschek Oct 2016

Core Actuation Promotes Self-Manipulability On A Direct-Drive Quadrupedal Robot, Jeff Duperret, Benjamin Kramer, Daniel E. Koditschek

Departmental Papers (ESE)

For direct-drive legged robots operating in unstructured environments, workspace volume and force generation are competing, scarce resources. In this paper we demonstrate that introducing geared core actuation (i.e., proximal to rather than distal from the mass center) increases workspace volume and can provide a disproportionate amount of work-producing force to the mass center without affecting leg linkage transparency. These effects are analytically quantifiable up to modest assumptions, and are demonstrated empirically on a spined quadruped performing a leap both on level ground and from an isolated foothold (an archetypal feature of unstructured terrain).


Methodology For Simulation And Analysis Of Complex Adaptive Supply Network Structure And Dynamics Using Information Theory, Joshua V. Rodewald, John M. Colombi, Kyle F. Oyama, Alan W. Johnson Oct 2016

Methodology For Simulation And Analysis Of Complex Adaptive Supply Network Structure And Dynamics Using Information Theory, Joshua V. Rodewald, John M. Colombi, Kyle F. Oyama, Alan W. Johnson

Faculty Publications

Supply networks existing today in many industries can behave as complex adaptive systems making them more difficult to analyze and assess. Being able to fully understand both the complex static and dynamic structures of a complex adaptive supply network (CASN) are key to being able to make more informed management decisions and prioritize resources and production throughout the network. Previous efforts to model and analyze CASN have been impeded by the complex, dynamic nature of the systems. However, drawing from other complex adaptive systems sciences, information theory provides a model-free methodology removing many of those barriers, especially concerning complex network ...


Frontal Plane Stabilization And Hopping With A 2dof Tail, Garrett Wenger, Avik De, Daniel E. Koditschek Oct 2016

Frontal Plane Stabilization And Hopping With A 2dof Tail, Garrett Wenger, Avik De, Daniel E. Koditschek

Departmental Papers (ESE)

The Jerboa, a tailed bipedal robot with two hip-actuated, passive-compliant legs and a doubly actuated tail, has been shown both formally and empirically to exhibit a variety of stable hopping and running gaits in the sagittal plane. In this paper we take the first steps toward operating Jerboa as a fully spatial machine by addressing the predominant mode of destabilization away from the sagittal plane: body roll. We develop a provably stable controller for underactuated aerial stabilization of the coupled body roll and tail angles, that uses just the tail torques. We show that this controller is successful at reliably ...


Mobile Robots As Remote Sensors For Spatial Point Process Models, Paul B. Reverdy, Daniel E. Koditschek Oct 2016

Mobile Robots As Remote Sensors For Spatial Point Process Models, Paul B. Reverdy, Daniel E. Koditschek

Departmental Papers (ESE)

Spatial point process models are a commonly-used statistical tool for studying the distribution of objects of interest in a domain. We study the problem of deploying mobile robots as remote sensors to estimate the parameters of such a model, in particular the intensity parameter lambda which measures the mean density of points in a Poisson point process. This problem requires covering an appropriately large section of the domain while avoiding the objects, which we treat as obstacles. We develop a control law that covers an expanding section of the domain and an online criterion for determining when to stop sampling ...