The Potential for Low-Cost and Open Source Hardware Solutions to Scale
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The Digital Society New Ways to More Transparency, Participation and Current Issues August 1, 2011 Innovation
The digital society New ways to more transparency, participation and Current Issues August 1, 2011 innovation Digital structural change. The increasing use of modern network technologies is changing people’s daily social and economic lives. Today, anyone and everyone can engage interactively in digital spaces. This is giving rise to both new forms of participation and new patterns of value creation, accompanied by a shift in power towards citizen and consumer sovereignty. Digital structural change is encouraging the following open source movements in particular: Trend research Trend (Corporate) Social Media. Social networking platforms are penetrating all spheres of life. At the corporate level this is redistributing control over communications towards the internet community. Whilst businesses and organisations can benefit from the powerful ‘recommendation web’, they are also losing some of their control over customers and their communication sovereignty. This is making corporate communications more authentic and informal. Open Innovation. Interactive value creation can make companies more innovative by integrating external specialists’ and communities’ knowledge and creativity into internal processes. The more external ideas that are incorporated, the greater are the potential combinations to create something new. But open innovation also involves risks because classic value creation patterns have to be broken up and modernised with new strategies and, most importantly, with new interaction competencies. Open Government. Political institutions and government agencies are likewise opening up to increased civic engagement. The public data made available can give rise to new applications and business models. Where interaction takes place and government receives external feedback, new collaborative and participatory models are able to evolve between government and citizens. -
Hospitality Robots at Your Service WHITEPAPER
WHITEPAPER Hospitality Robots At Your Service TABLE OF CONTENTS THE SERVICE ROBOT MARKET EXAMPLES OF SERVICE ROBOTS IN THE HOSPITALITY SPACE IN DEPTH WITH SAVIOKE’S HOSPITALITY ROBOTS PEPPER PROVIDES FRIENDLY, FUN CUSTOMER ASSISTANCE SANBOT’S HOSPITALITY ROBOTS AIM FOR HOTELS, BANKING EXPECT MORE ROBOTS DOING SERVICE WORK roboticsbusinessreview.com 2 MOBILE AND HUMANOID ROBOTS INTERACT WITH CUSTOMERS ACROSS THE HOSPITALITY SPACE Improvements in mobility, autonomy and software drive growth in robots that can provide better service for customers and guests in the hospitality space By Ed O’Brien Across the business landscape, robots have entered many different industries, and the service market is no difference. With several applications in the hospitality, restaurant, and healthcare markets, new types of service robots are making life easier for customers and employees. For example, mobile robots can now make deliveries in a hotel, move materials in a hospital, provide security patrols on large campuses, take inventories or interact with retail customers. They offer expanded capabilities that can largely remove humans from having to perform repetitive, tedious, and often unwanted tasks. Companies designing and manufacturing such robots are offering unique approaches to customer service, providing systems to help fill in areas where labor shortages are prevalent, and creating increased revenues by offering new delivery channels, literally and figuratively. However, businesses looking to use these new robots need to be mindful of reviewing the underlying demand to ensure that such investments make sense in the long run. In this report, we will review the different types of robots aimed at providing hospitality services, their various missions, and expectations for growth in the near-to-immediate future. -
An Overview of Models of Distributed Innovation
An Overview of Models of Distributed Innovation Open Innovation, User Innovation and Social Innovation Garry Gabison and Annarosa Pesole 2014 20xx Report EUR 27035 EN European Commission Joint Research Centre Institute for Prospective Technological Studies Contact information Address: Edificio Expo. c/ Inca Garcilaso, 3. E-41092 Seville (Spain) E-mail: [email protected] Tel.: +34 954488318 Fax: +34 954488300 https://ec.europa.eu/jrc https://ec.europa.eu/jrc/en/institutes/ipts Legal Notice This publication is a Science and Policy Report by the Joint Research Centre, the European Commission’s in-house science service. It aims to provide evidence-based scientific support to the European policy-making process. The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. All images © European Union 2014 JRC93533 EUR 27035 EN ISBN 978-92-79-44720-4 (PDF) ISSN 1831-9424 (online) doi:10.2791/347145 Luxembourg: Publications Office of the European Union, 2014 © European Union, 2014 Reproduction is authorised provided the source is acknowledged. Abstract This report discusses models of distributed innovation and how they differ in their nature, effects, and origins. Starting from Open Innovation, the paper analyses its methodological evolution, some of its applications, and the opportunities to apply it in a social context. Open Innovation has gained traction in the last ten years and because of this popularity, Open Innovation has been endowed with numerous meanings. This paper dives into the large literature associated with Open Innovation. -
Making Open Innovation Ecosystems Work Case Studies in Healthcare
Innovation Series Making Open Innovation Ecosystems Work Case Studies in Healthcare Donald E. Wynn, Jr. Renée M. E. Pratt Randy V. Bradley University of Dayton University of University of Tennessee, Massachusetts Amherst Knoxville Innovation Series 2015 Making Open Innovation Ecosystems Work: Case Studies in Healthcare Donald E. Wynn, Jr. University of Dayton Renée M. E. Pratt University of Massachusetts Amherst Randy V. Bradley University of Tennessee, Knoxville MAKING OPEN INNOVATION ECOSYSTEMS WORK: CASE STUDIES IN HEALTHCARE www.businessofgovernment.org Table of Contents Foreword . 4 Executive Summary . 6 Introduction . 8 Open Innovation . 9 Technological Ecosystems . 10 Five Key Elements to Managing an Organization’s Ecosystem . 11 Achieving Open Innovation with Technological Ecosystems . 14 Creating an Open Innovation Ecosystem: The U.S. Department of Veteran Affairs and Open Source Electronic Health Record Alliance . 15 Background . 15 Evaluating the VistA Ecosystem . 17 Joining an Open Innovation Ecosystem: The West Virginia Department of Health and Human Resources . 22 Background . 22 Evaluating the West Virginia Ecosystem . 24 Best Practices . 27 Resources . 27 Participant Characteristics . 28 Relationships Among Members . 29 Ecosystem Organization . 29 External Environment . 30 Conclusion . .. 32 References . .. 33 About the Authors . 34 Key Contact Information . 35 3 MAKING OPEN INNOVATION ECOSYSTEMS WORK: CASE STUDIES IN HEALTHCARE IBM Center for The Business of Government Foreword On behalf of the IBM Center for The Business of Government, we are pleased to present Making Open Innovation Ecosystems Work: Case Studies in Healthcare, by Donald E . Wynn, Renee M .E . Pratt, and Randy V . Bradley . The challenge of innovation has received increased attention in recent years in both the public and private sectors . -
Big Data for the Social Good
Big data for the social good By Professor Dino Pedreschi, Fosca Giannotti, Valerio Grossi, and Roberto Trasarti – University of Pisa (Department of Computer Science), and Institute of Science and Technology of Informatics ‘A. Faedo’ / Cyber Kristiyan / Cyber Source: Shuterstock Source: Most people will agree that during the last two decades data have become an ever more present part of our lives, whether it is in our communication, our analysis or decision-making. Dino Pedreschi is Professor of Computer Science at the University of Pisa and a pioneering scientist in mobility data mining, social network mining and privacy-preserving data mining. Together with his colleagues Fosca Giannotti, Valerio Grossi and Roberto Trasarti – respectively director and researchers at CNR in Pisa – he gives an overview of some key issues relating to data. The authors consider the advent of big data is an opportunity for boosting social progress, and Arti!cial Intelligence tools are triggering new services with a clear impact on our daily life. They also touch upon how big data and AI help us to make more informed choices, underlining the need to achieve collective intelligence without compromising the rights of individuals. From data to knowledge In order to understand the role of data in our society, let’s start by talking about the word datum. It comes from the Latin for ‘something given,’ and the Oxford English Dictionary de!nes it as a ‘piece of information,’ ‘as a fact’. Our life is a generator of facts that can be stored and analysed. Human interactions leave traces of our phone calls or emails in our social networks. -
PETMAN: a Humanoid Robot for Testing Chemical Protective Clothing
372 日本ロボット学会誌 Vol. 30 No. 4, pp.372~377, 2012 解説 PETMAN: A Humanoid Robot for Testing Chemical Protective Clothing Gabe Nelson∗, Aaron Saunders∗, Neil Neville∗, Ben Swilling∗, Joe Bondaryk∗, Devin Billings∗, Chris Lee∗, Robert Playter∗ and Marc Raibert∗ ∗Boston Dynamics 1. Introduction Petman is an anthropomorphic robot designed to test chemical protective clothing (Fig. 1). Petman will test Individual Protective Equipment (IPE) in an envi- ronmentally controlled test chamber, where it will be exposed to chemical agents as it walks and does basic calisthenics. Chemical sensors embedded in the skin of the robot will measure if, when and where chemi- cal agents are detected within the suit. The robot will perform its tests in a chamber under controlled temper- ature and wind conditions. A treadmill and turntable integrated into the wind tunnel chamber allow for sus- tained walking experiments that can be oriented rela- tive to the wind. Petman’s skin is temperature con- trolled and even sweats in order to simulate physiologic conditions within the suit. When the robot is per- forming tests, a loose fitting Intelligent Safety Harness (ISH) will be present to support or catch and restart the robot should it lose balance or suffer a mechani- cal failure. The integrated system: the robot, chamber, treadmill/turntable, ISH and electrical, mechanical and software systems for testing IPE is called the Individual Protective Ensemble Mannequin System (Fig. 2)andis Fig. 1 The Petman robot walking on a treadmill being built by a team of organizations.† In 2009 when we began the design of Petman,there where the external fixture attaches to the robot. -
Paths to Innovation in Culture Paths to Innovation in Culture Includes Bibliographical References and Index ISBN 978-954-92828-4-9
Paths to Innovation in Culture Paths to Innovation in Culture Includes bibliographical references and index ISBN 978-954-92828-4-9 Editorial Board Argyro Barata, Greece Miki Braniste, Bucharest Stefka Tsaneva, Goethe-Institut Bulgaria Enzio Wetzel, Goethe-Institut Bulgaria Dr. Petya Koleva, Interkultura Consult Vladiya Mihaylova, Sofia City Art Gallery Malina Edreva, Sofia Municipal Council Svetlana Lomeva, Sofia Development Association Sevdalina Voynova, Sofia Development Association Dr. Nelly Stoeva, Sofia University “St. Kliment Ohridski” Assos. Prof. Georgi Valchev, Deputy Rector of Sofia University “St. Kliment Ohridski” Design and typeset Aleksander Rangelov Copyright © 2017 Sofia Development Association, Goethe-Institut Bulgaria and the authors of the individual articles. All rights reserved. No part of this work may be reproduced in any form or by any means without permission in writing from the publisher. Contents Foreword .................................................................................................................... 6 Introduction: Paths to Innovation in Culture ....................................................... 8 Digital and Tech Innovation in Arts and Culture Vladiya Mihaylova, Overview ...............................................................................15 Stela Anastasaki Use of Mobile Technologies in Thessaloniki’s Museums. An Online Survey 2017 ..................................................................................... 17 Veselka Nikolova Digital Innovation in Culture ......................................................................... -
Design and Realization of a Humanoid Robot for Fast and Autonomous Bipedal Locomotion
TECHNISCHE UNIVERSITÄT MÜNCHEN Lehrstuhl für Angewandte Mechanik Design and Realization of a Humanoid Robot for Fast and Autonomous Bipedal Locomotion Entwurf und Realisierung eines Humanoiden Roboters für Schnelles und Autonomes Laufen Dipl.-Ing. Univ. Sebastian Lohmeier Vollständiger Abdruck der von der Fakultät für Maschinenwesen der Technischen Universität München zur Erlangung des akademischen Grades eines Doktor-Ingenieurs (Dr.-Ing.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr.-Ing. Udo Lindemann Prüfer der Dissertation: 1. Univ.-Prof. Dr.-Ing. habil. Heinz Ulbrich 2. Univ.-Prof. Dr.-Ing. Horst Baier Die Dissertation wurde am 2. Juni 2010 bei der Technischen Universität München eingereicht und durch die Fakultät für Maschinenwesen am 21. Oktober 2010 angenommen. Colophon The original source for this thesis was edited in GNU Emacs and aucTEX, typeset using pdfLATEX in an automated process using GNU make, and output as PDF. The document was compiled with the LATEX 2" class AMdiss (based on the KOMA-Script class scrreprt). AMdiss is part of the AMclasses bundle that was developed by the author for writing term papers, Diploma theses and dissertations at the Institute of Applied Mechanics, Technische Universität München. Photographs and CAD screenshots were processed and enhanced with THE GIMP. Most vector graphics were drawn with CorelDraw X3, exported as Encapsulated PostScript, and edited with psfrag to obtain high-quality labeling. Some smaller and text-heavy graphics (flowcharts, etc.), as well as diagrams were created using PSTricks. The plot raw data were preprocessed with Matlab. In order to use the PostScript- based LATEX packages with pdfLATEX, a toolchain based on pst-pdf and Ghostscript was used. -
History of Robotics: Timeline
History of Robotics: Timeline This history of robotics is intertwined with the histories of technology, science and the basic principle of progress. Technology used in computing, electricity, even pneumatics and hydraulics can all be considered a part of the history of robotics. The timeline presented is therefore far from complete. Robotics currently represents one of mankind’s greatest accomplishments and is the single greatest attempt of mankind to produce an artificial, sentient being. It is only in recent years that manufacturers are making robotics increasingly available and attainable to the general public. The focus of this timeline is to provide the reader with a general overview of robotics (with a focus more on mobile robots) and to give an appreciation for the inventors and innovators in this field who have helped robotics to become what it is today. RobotShop Distribution Inc., 2008 www.robotshop.ca www.robotshop.us Greek Times Some historians affirm that Talos, a giant creature written about in ancient greek literature, was a creature (either a man or a bull) made of bronze, given by Zeus to Europa. [6] According to one version of the myths he was created in Sardinia by Hephaestus on Zeus' command, who gave him to the Cretan king Minos. In another version Talos came to Crete with Zeus to watch over his love Europa, and Minos received him as a gift from her. There are suppositions that his name Talos in the old Cretan language meant the "Sun" and that Zeus was known in Crete by the similar name of Zeus Tallaios. -
Theory of Mind for a Humanoid Robot
Theory of Mind for a Humanoid Robot Brian Scassellati MIT Artificial Intelligence Lab 545 Technology Square – Room 938 Cambridge, MA 02139 USA [email protected] http://www.ai.mit.edu/people/scaz/ Abstract. If we are to build human-like robots that can interact naturally with people, our robots must know not only about the properties of objects but also the properties of animate agents in the world. One of the fundamental social skills for humans is the attribution of beliefs, goals, and desires to other people. This set of skills has often been called a “theory of mind.” This paper presents the theories of Leslie [27] and Baron-Cohen [2] on the development of theory of mind in human children and discusses the potential application of both of these theories to building robots with similar capabilities. Initial implementation details and basic skills (such as finding faces and eyes and distinguishing animate from inanimate stimuli) are introduced. I further speculate on the usefulness of a robotic implementation in evaluating and comparing these two models. 1 Introduction Human social dynamics rely upon the ability to correctly attribute beliefs, goals, and percepts to other people. This set of metarepresentational abilities, which have been collectively called a “theory of mind” or the ability to “mentalize”, allows us to understand the actions and expressions of others within an intentional or goal-directed framework (what Dennett [15] has called the intentional stance). The recognition that other individuals have knowl- edge, perceptions, and intentions that differ from our own is a critical step in a child’s development and is believed to be instrumental in self-recognition, in providing a perceptual grounding during language learning, and possibly in the development of imaginative and creative play [9]. -
Time Parameterization of Humanoid Robot Paths
SUBMITTED TO IEEE TRANS. ROBOT. , VOL. XX, NO. XX, 2010 1 Time Parameterization of Humanoid Robot Paths Wael Suleiman, Fumio Kanehiro, Member, IEEE, Eiichi Yoshida, Member, IEEE, Jean-Paul Laumond, Fellow Member, IEEE, and Andr´eMonin Abstract—This paper proposes a unified optimization frame- work to solve the time parameterization problem of humanoid robot paths. Even though the time parameterization problem is well known in robotics, the application to humanoid robots has not been addressed. This is because of the complexity of the kinematical structure as well as the dynamical motion equation. The main contribution in this paper is to show that the time pa- rameterization of a statically stable path to be transformed into a dynamical stable trajectory within the humanoid robot capacities can be expressed as an optimization problem. Furthermore we propose an efficient method to solve the obtained optimization problem. The proposed method has been successfully validated on the humanoid robot HRP-2 by conducting several experiments. These results have revealed the effectiveness and the robustness (a) Initial configuration (b) Final configuration of the proposed method. Index Terms—Timing; Robot dynamics; Stability criteria; Fig. 1. Dynamically stable motion Optimization methods; Humanoid Robot. these approaches are based on time-optimal control theory [3], I. INTRODUCTION [4], [5], [6], [7]. The automatic generation of motions for robots which are In the framework of mobile robots, the time parameteriza- collision-free motions and at the same time inside the robots tion problem arises also to transform a feasible path into a capacities is one of the most challenging problems. Many feasible trajectory [8], [9]. -
Lio - a Personal Robot Assistant for Human-Robot Interaction and Care Applications
Lio - A Personal Robot Assistant for Human-Robot Interaction and Care Applications Justinas Miseikis,ˇ Pietro Caroni, Patricia Duchamp, Alina Gasser, Rastislav Marko, Nelija Miseikienˇ e,˙ Frederik Zwilling, Charles de Castelbajac, Lucas Eicher, Michael Fruh,¨ Hansruedi Fruh¨ Abstract— Lio is a mobile robot platform with a multi- careers [4]. A possible staff shortage of 500’000 healthcare functional arm explicitly designed for human-robot interaction employees is estimated in Europe by the year of 2030 [5]. and personal care assistant tasks. The robot has already Care robotics is not an entirely new field. There has been deployed in several health care facilities, where it is functioning autonomously, assisting staff and patients on an been significant development in this direction. One of the everyday basis. Lio is intrinsically safe by having full coverage most known robots is Pepper by SoftBank Robotics, which in soft artificial-leather material as well as having collision was created for interaction and entertainment tasks. It is detection, limited speed and forces. Furthermore, the robot has capable of voice interactions with humans, face and mood a compliant motion controller. A combination of visual, audio, recognition. In the healthcare sector Pepper is used for laser, ultrasound and mechanical sensors are used for safe navigation and environment understanding. The ROS-enabled interaction with dementia patients [6]. setup allows researchers to access raw sensor data as well as Another example is the robot RIBA by RIKEN. It is have direct control of the robot. The friendly appearance of designed to carry around patients. The robot is capable of Lio has resulted in the robot being well accepted by health localising a voice source and lifting patients weighing up to care staff and patients.