Service Robots in Catering Applications: a Review and Future Challenges
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												  Remote and Autonomous Controlled Robotic Car Based on Arduino with Real Time Obstacle Detection and AvoidanceUniversal Journal of Engineering Science 7(1): 1-7, 2019 http://www.hrpub.org DOI: 10.13189/ujes.2019.070101 Remote and Autonomous Controlled Robotic Car based on Arduino with Real Time Obstacle Detection and Avoidance Esra Yılmaz, Sibel T. Özyer* Department of Computer Engineering, Çankaya University, Turkey Copyright©2019 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract In robotic car, real time obstacle detection electronic devices. The environment can be any physical and obstacle avoidance are significant issues. In this study, environment such as military areas, airports, factories, design and implementation of a robotic car have been hospitals, shopping malls, and electronic devices can be presented with regards to hardware, software and smartphones, robots, tablets, smart clocks. These devices communication environments with real time obstacle have a wide range of applications to control, protect, image detection and obstacle avoidance. Arduino platform, and identification in the industrial process. Today, there are android application and Bluetooth technology have been hundreds of types of sensors produced by the development used to implementation of the system. In this paper, robotic of technology such as heat, pressure, obstacle recognizer, car design and application with using sensor programming human detecting. Sensors were used for lighting purposes on a platform has been presented. This robotic device has in the past, but now they are used to make life easier. been developed with the interaction of Android-based Thanks to technology in the field of electronics, incredibly device.
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												  Executive Summary World Robotics 2019 Service Robots 11Executive Summary World Robotics 2019 Service Robots 11 Executive Summary World Robotics 2019 Service Robots Service robotics encompasses a broad field of applications, most of which having unique designs and different degrees of automation – from full tele-operation to fully autonomous operation. Hence, the industry is more diverse than the industrial robot industry (which is extensively treated in the companion publication World Robotics – Industrial Robots 2019). IFR Statistical Department is currently aware of more than 750 companies producing service robots or doing commercial research for marketable products. A full list is included in chapter 4 of World Robotics Service Robots 2019. IFR Statistical Department is continuously seeking for new service robot producers, so please contact [email protected] if you represent such a company and would like to participate in the annual survey conducted in the first quarter of each year. Participants receive the survey results free of charge. Sales of professional service robots on the rise The total number of professional service robots sold in 2018 rose by 61% to more than 271,000 units, up from roughly 168,000 in 2017. The sales value increased by 32% to USD 9.2 billion. Autonomous guided vehicles (AGVs) represent the largest fraction in the professional service robot market (41% of all units sold). They are established in non-manufacturing environments, mainly logistics, and have lots of potential in manufacturing. The second largest category (39% of all units sold), inspection and maintenance robots, covers a wide range of robots from rather low-priced standard units to expensive custom solutions. Service robots for defense applications accounted for 5% of the total number of service robots for professional use sold in 2018.
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												  How Humanoid Robots Influence Service Experiences and Food ConsumptionMarketing Science Institute Working Paper Series 2017 Report No. 17-125 Service Robots Rising: How Humanoid Robots Influence Service Experiences and Food Consumption Martin Mende, Maura L. Scott, Jenny van Doorn, Ilana Shanks, and Dhruv Grewal “Service Robots Rising: How Humanoid Robots Influence Service Experiences and Food Consumption” © 2017 Martin Mende, Maura L. Scott, Jenny van Doorn, Ilana Shanks, and Dhruv Grewal; Report Summary © 2017 Marketing Science Institute MSI working papers are distributed for the benefit of MSI corporate and academic members means, electronic or mechanical, without written permission. Report Summary Interactions between consumers and humanoid service robots (i.e., robots with a human-like morphology such as a face, arms, and legs) soon will be part of routine marketplace experiences, and represent a primary arena for innovation in services and shopper marketing. At the same time, it is not clear whether humanoid robots, relative to human employees, trigger positive or negative consequences for consumers and companies. Although creating robots that appear as much like humans as possible is the “holy grail” in robotics, there is a risk that consumers will respond negatively to highly human-like robots, due to the feelings of discomfort that such robots can evoke. Here, Martin Mende, Maura Scott, Jenny van Doorn, Ilana Shanks, and Dhruv Grewal investigate whether humanoid service robots (HSRs) trigger discomfort and what the consequences might be for customers’ service experiences. They focus on the effects of HSRs in a food consumption context. Six experimental studies, conducted in the context of restaurant services, reveal that consumers report lower assessments of the server when their food is served by a humanoid service robot than by a human server, but their desire for food and their actual food consumption increases.
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												  Special Feature on Advanced Mobile Roboticsapplied sciences Editorial Special Feature on Advanced Mobile Robotics DaeEun Kim School of Electrical and Electronic Engineering, Yonsei University, Shinchon, Seoul 03722, Korea; [email protected] Received: 29 October 2019; Accepted: 31 October 2019; Published: 4 November 2019 1. Introduction Mobile robots and their applications are involved with many research fields including electrical engineering, mechanical engineering, computer science, artificial intelligence and cognitive science. Mobile robots are widely used for transportation, surveillance, inspection, interaction with human, medical system and entertainment. This Special Issue handles recent development of mobile robots and their research, and it will help find or enhance the principle of robotics and practical applications in real world. The Special Issue is intended to be a collection of multidisciplinary work in the field of mobile robotics. Various approaches and integrative contributions are introduced through this Special Issue. Motion control of mobile robots, aerial robots/vehicles, robot navigation, localization and mapping, robot vision and 3D sensing, networked robots, swarm robotics, biologically-inspired robotics, learning and adaptation in robotics, human-robot interaction and control systems for industrial robots are covered. 2. Advanced Mobile Robotics This Special Issue includes a variety of research fields related to mobile robotics. Initially, multi-agent robots or multi-robots are introduced. It covers cooperation of multi-agent robots or formation control. Trajectory planning methods and applications are listed. Robot navigations have been studied as classical robot application. Autonomous navigation examples are demonstrated. Then services robots are introduced as human-robot interaction. Furthermore, unmanned aerial vehicles (UAVs) or autonomous underwater vehicles (AUVs) are shown for autonomous navigation or map building.
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												  Concept and Functional Structure of a Service RobotInternational Journal of Advanced Robotic Systems ARTICLE Concept and Functional Structure of a Service Robot Regular Paper Luis A. Pineda1*, Arturo Rodríguez1, Gibran Fuentes1, Caleb Rascon1 and Ivan V. Meza1 1 National Autonomous University of Mexico, Mexico * Corresponding author(s) E-mail: [email protected] Received 13 June 2014; Accepted 28 November 2014 DOI: 10.5772/60026 © 2015 The Author(s). Licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract reflection upon the present concept of a service robot and its associated functional specifications, and the potential In this paper, we present a concept of service robot and a impact of such a conceptual model in the study, develop‐ framework for its functional specification and implemen‐ ment and application of service robots in general. tation. The present discussion is grounded in Newell’s system levels hierarchy which suggests organizing robotics Keywords Concept of a service robot, Service robots research in three different layers, corresponding to Marr’s system levels, Conceptual model of service robots, Robot‐ computational, algorithmic and implementation levels, as ics’ task structure, Practical tasks, Structure of a general follows: (1) the service robot proper, which is the subject of purpose service robot, RoboCup@Home competition, The the present paper, (2) perception and action algorithms, Golem-II+ robot and (3) the systems programming level. The concept of a service robot is articulated in practice through the intro‐ duction of a conceptual model for particular service robots; this consists of the specification of a set of basic robotic 1.
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												  Service Robots Are Increasingly Broadening Our Horizons Beyond the Factory FloorToward a Science of Autonomy for Physical Systems: Service Peter Allen Henrik I. Christensen [email protected] [email protected] Columbia University Georgia Institute of Technology Computing Community Consortium Version 1: June 23, 20151 1 Overview A recent study by the Robotic Industries Association [2] has highlighted how service robots are increasingly broadening our horizons beyond the factory floor. From robotic vacuums, bomb retrievers, exoskeletons and drones, to robots used in surgery, space exploration, agriculture, home assistance and construction, service robots are building a formidable resume. In just the last few years we have seen service robots deliver room service meals, assist shoppers in finding items in a large home improvement store, checking in customers and storing their luggage at hotels, and pour drinks on cruise ships. Personal robots are here to educate, assist and entertain at home. These domestic robots can perform daily chores, assist people with disabilities and serve as companions or pets for entertainment [1]. By all accounts, the growth potential for service robotics is quite large [2, 3]. Due to their multitude of forms and structures as well as application areas, service robots are not easy to define. The International Federation of Robots (IFR) has created some preliminary definitions of service robots [5]. A service robot is a robot that performs useful tasks for humans or equipment excluding industrial automation applications. Some examples are domestic servant robots, automated wheelchairs, and personal mobility assist robots. A service robot for professional use is a service robot used for a commercial task, usually operated by a properly trained operator.
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												  Service Robots 7 Mouser Staff1 1 TABLE OF CONTENTS Welcome from the Editor 3 Deborah S. Ray Foreword 6 Grant Imahara Introduction to Service Robots 7 Mouser Staff Sanbot Max: Anatomy of a Service Robot 11 Steven Keeping CIMON Says: Design Lessons from a Robot Assistant in Space 17 Traci Browne 21 Revisiting the Uncanny Valley Jon Gabay Robotic Hands Strive for Human Capabilities 25 Bill Schweber Robotic Gesturing Meets Sign Language 30 Bill Schweber Mouser and Mouser Electronics are registered trademarks of Mouser Electronics, Inc. Other products, logos, and company names mentioned herein may be trademarks of their respective owners. Reference designs, conceptual illustrations, and other graphics included herein are for informational purposes only. Copyright © 2018 Mouser Electronics, Inc. – A TTI and Berkshire Hathaway company. 2 WELCOME FROM THE EDITOR If you’re just now joining us for favorite robots from our favorite This eBook accompanies EIT Video Mouser’s 2018 Empowering shows and movies: Star Wars, Star #3, which features the Henn na Innovation Together™ (EIT) program, Trek, Lost in Space, and Dr. Who. Hotel, the world’s first hotel staffed welcome! This year’s EIT program— by robots. Geared toward efficiency Generation Robot—explores robotics In this EIT segment, we explore and customer comfort, these robots as a technology capable of impacting service robots, which combine not only provide an extraordinary and changing our lives in the 21st principles of automation with that experience of efficiency and comfort, century much like the automobile of robotics to assist humans with but also a fascinating and heart- impacted the 20th century and tasks that are dirty, dangerous, heavy, warming experience for guests.
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												  Mixed Reality Technologies for Novel Forms of Human-Robot InteractionDissertation Mixed Reality Technologies for Novel Forms of Human-Robot Interaction Dissertation with the aim of achieving a doctoral degree at the Faculty of Mathematics, Informatics and Natural Sciences Dipl.-Inf. Dennis Krupke Human-Computer Interaction and Technical Aspects of Multimodal Systems Department of Informatics Universität Hamburg November 2019 Review Erstgutachter: Prof. Dr. Frank Steinicke Zweitgutachter: Prof. Dr. Jianwei Zhang Drittgutachter: Prof. Dr. Eva Bittner Vorsitzende der Prüfungskomission: Prof. Dr. Simone Frintrop Datum der Disputation: 17.08.2020 “ My dear Miss Glory, Robots are not people. They are mechanically more perfect than we are, they have an astounding intellectual capacity, but they have no soul.” Karel Capek Abstract Nowadays, robot technology surrounds us and future developments will further increase the frequency of our everyday contacts with robots in our daily life. To enable this, the current forms of human-robot interaction need to evolve. The concept of digital twins seems promising for establishing novel forms of cooperation and communication with robots and for modeling system states. Machine learning is now ready to be applied to a multitude of domains. It has the potential to enhance artificial systems with capabilities, which so far are found in natural intelligent creatures, only. Mixed reality experienced a substantial technological evolution in recent years and future developments of mixed reality devices seem to be promising, as well. Wireless networks will improve significantly in the next years and thus, latency and bandwidth limitations will be no crucial issue anymore. Based on the ongoing technological progress, novel interaction and communication forms with robots become available and their application to real-world scenarios becomes feasible.
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												  Social Robotics Agenda.PdfThank you! The following agenda for social robotics was developed in a project led by KTH and funded by Vinnova. It is a result of cooperation between the following 35 partners: Industry: ABB, Artificial Solutions, Ericsson, Furhat robotics, Intelligent Machines, Liquid Media, TeliaSonera Academia: Göteborgs universitet, Högskolan i Skövde, Karolinska Institutet, KTH, Linköpings universitet, Lunds tekniska högskola, Lunds Universitet, Röda korsets högskola, Stockholms Universtitet, Uppsala Universitet, Örebro universitet Public sector: Institutet för Framtidsstudier, Myndigheten för Delaktighet, Myndigheten för Tillgängliga Medier, Statens medicinsk- etiska råd, Robotdalen, SLL Innovation, Språkrådet End-user organistions: Brostaden, Epicenter, EF Education First, Fryshuset Gymnasium, Hamnskolan, Investor, Kunskapsskolan, Silver Life, Svenskt demenscentrum, Tekniska Museet We would like to thank all partners for their great commitment at the workshops where they shared good ideas and insightful experiences, as well as valuable and important observations of what the future might hold. Agenda key persons: Joakim Gustafson (KTH), Peje Emilsson (Silver Life), Jan Gulliksen (KTH), Mikael Hedelind (ABB), Danica Kragic (KTH), Per Ljunggren (Intelligent Machines), Amy Loutfi (Örebro university), Erik Lundqvist (Robotdalen), Stefan Stern (Investor), Karl-Erik Westman (Myndigheten för Delaktighet), Britt Östlund (KTH) Writing group: editor Joakim Gustafson, co-editor Jens Edlund, Jonas Beskow, Mikael Hedelind, Danica Kragic, Per Ljunggren, Amy
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												  Microsoft Kinect Based Mobile Robot CarMicrosoft Kinect Based Mobile Robot Car China Project Center E term, 2012 A Major Qualifying Project submitted to the Faculty of WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Bachelor of Science Authors Max Saccoccio, Robotics and Mechanical Engineering, 2013 ([email protected]) Joseph Taleb, Electrical and Computer Engineering, 2013 ([email protected]) Partnered With: Kang Lutan, Mechanical Engineering ([email protected]) Xie Man, Mechanical Engineering, ([email protected]) Wei Bo, Mechanical Engineering ([email protected]) Wang Li, Mechanical Engineering ([email protected]) Liaison Zhang Huiping, DEPUSH Technologies Ltd., Wuhan, China Project Advisors Professor Lingsong He, HUST Dept. of Mechanical Engineering Professor Xinmin Huang, WPI Dept. of Electrical and Computer Engineering Professor Yiming Rong, WPI Dept. of Mechanical Engineering Professor Stephen Nestinger, WPI Dept. of Mechanical Engineering Abstract Using Microsoft Robotics Developer Studio and the Parallax Eddie robot platform, a mobile robot car was developed using the Microsoft Kinect as the primary computer vision sensor to identify and respond to voice and gesture commands. The project sponsor, Depush Technology of Wuhan, China has requested a commercially viable educational platform. The end user programs the robot using Microsoft Visual Programming Language to implement code written in C#. ii Acknowledgements We would like to thank our project advisors, Professor Rong of Worcester Polytechnic Institute, and Professor He of Huazhong University of Technology, for their help with our project. We would like to thank them for the input they have provided to our project, especially to our presentation and this report. Professor Rong supplied valuable suggestions to help us make our presentation the best that it could be.
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												  Investor Allstars Brochure 2015.Pdf1 OCTOBER 2015 – THE LANCASTER, LONDON www.investorallstars.com #investorallstars 1 Welcome 2015 – The Year ofthe Unicorn! If last year was defined by a series of high-profile exits, 2015 has seen a shift towards entrepreneurs raising vast rounds of capital for long-term growth. No longer are our talented entrepreneurs satisfied with $100 million trade sales. Many are choosing to stay independent for longer and create global leaders of unprecedented scale. The European digital ecosystem will look back on this as ‘The Year of the Unicorn’ – the moment when European unicorns started reaching globally competitive valuations. Our audience tonight has played a major role in nurturing the $40 billion+ companies charging across Europe, and it is fantastic to see mega-funds such as KKR, General Atlantic, TCV and BlackRock now entrenched as a core part of the funding chain for fast-growth companies. Our standout companies are reaching scale faster than at any point in history – with the often-cited five years for Uber to create $10 billion of value vs 15 years for Microsoft to create $1 billion being replicated by our audience tonight – HelloFresh, BlaBlaCar, Spotify, Klarna, Avito, Funding Circle, JUST EAT… To support these disruptors, the funding ecosystem needs to evolve, and while we have many parts working efficiently, we still witness a strong dependence on the US for $50 million+ expansion rounds. Within five years I would love to see us pulling together to allow our star entrepreneurs the choice of raising locally or overseas. It is vital that we become better at raising awareness for some truly great achievements.
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												  Deliberative PerceptionDeliberative Perception Venkatraman Narayanan CMU-RI-TR-17-67 Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Robotics The Robotics Institute Carnegie Mellon University Pittsburgh, Pennsylvania 15213 Thesis Committee Maxim Likhachev, Chair Martial Hebert Siddhartha S. Srinivasa Manuela M. Veloso Dieter Fox, University of Washington August 2017 COPYRIGHT © 2017 VENKATRAMAN NARAYANAN ii Abstract A recurrent and elementary robot perception task is to identify and localize objects of interest in the physical world. In many real-world situations such as in automated warehouses and assembly lines, this task entails localizing specific object instances with known 3D models. Most modern-day methods for the 3D multi-object local- ization task employ scene-to-model feature matching or regression/classification by learners trained on synthetic or real scenes. While these methods are typically fast in producing a result, they are often brittle, sensitive to occlusions, and depend on the right choice of features and/or training data. This thesis introduces and advocates a deliberative approach, where the multi-object localization task is framed as an optimization over the space of hypothesized scenes. We demonstrate that deliberative reasoning — such as understanding inter-object oc- clusions — is essential to robust perception, and that discriminative techniques can effectively guide such reasoning. The contributions of this thesis broadly fall under three parts: The first part, PErception via SeaRCH (PERCH) and its extension C-PERCH, formu- lates Deliberative Perception as an optimization over hypothesized scenes, and devel- ops an efficient tree search algorithm for the same. The second part focuses on accelerating global search through statistical learners, in the form of search heuristics (Discriminatively-guided Deliberative Perception), and by modulating the search-space (RANSAC-Trees).