Robotics Utilization for Healthcare Digitization in Global COVID-19 Management
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Review of Advanced Medical Telerobots
applied sciences Review Review of Advanced Medical Telerobots Sarmad Mehrdad 1,†, Fei Liu 2,† , Minh Tu Pham 3 , Arnaud Lelevé 3,* and S. Farokh Atashzar 1,4,5 1 Department of Electrical and Computer Engineering, New York University (NYU), Brooklyn, NY 11201, USA; [email protected] (S.M.); [email protected] (S.F.A.) 2 Advanced Robotics and Controls Lab, University of San Diego, San Diego, CA 92110, USA; [email protected] 3 Ampère, INSA Lyon, CNRS (UMR5005), F69621 Villeurbanne, France; [email protected] 4 Department of Mechanical and Aerospace Engineering, New York University (NYU), Brooklyn, NY 11201, USA 5 NYU WIRELESS, Brooklyn, NY 11201, USA * Correspondence: [email protected]; Tel.: +33-0472-436035 † Mehrdad and Liu contributed equally to this work and share the first authorship. Abstract: The advent of telerobotic systems has revolutionized various aspects of the industry and human life. This technology is designed to augment human sensorimotor capabilities to extend them beyond natural competence. Classic examples are space and underwater applications when distance and access are the two major physical barriers to be combated with this technology. In modern examples, telerobotic systems have been used in several clinical applications, including teleoperated surgery and telerehabilitation. In this regard, there has been a significant amount of research and development due to the major benefits in terms of medical outcomes. Recently telerobotic systems are combined with advanced artificial intelligence modules to better share the agency with the operator and open new doors of medical automation. In this review paper, we have provided a comprehensive analysis of the literature considering various topologies of telerobotic systems in the medical domain while shedding light on different levels of autonomy for this technology, starting from direct control, going up to command-tracking autonomous telerobots. -
Control of Mobile Robot for Remote Medical Examination: Design Concepts and Users’ Feedback from Experimental Studies
Control of Mobile Robot for Remote Medical Examination: Design Concepts and Users’ Feedback from Experimental Studies Krzysztof Arent∗, Janusz Jakubiak∗, Michał Drwi˛ega∗, Mateusz Cholewinski´ ∗, Gerald Stollnbergery, Manuel Giulianiy, Manfred Tscheligiy, Dorota Szczesniak-Stanczykz, Marcin Janowskiz, Wojciech Brzozowskiz, Andrzej Wysokinski´ z ∗ Department of Cybernetics and Robotics, y Center for Human-Computer z Department of Cardiology Faculty of Electronics, Interaction, Medical University of Lublin, Wrocław University of Technology, University of Salzburg, ul. K. Jaczewskiego 8, Wybrzeze˙ Wyspianskiego´ 27, Sigmund-Haffner-Gasse 18, 20-143 Lublin, Poland 50-370 Wrocław, Poland 5020 Salzburg, Austria Email: [email protected] Email: [email protected] Email: [email protected] Abstract—In this article we discuss movement control of a ReMeDi medical mobile robot from the user perspective. The control is essentially limited to the level of operator actions where the operator is a member of a nursing staff. Two working modes are the base of considerations: long distance (LD) and short distance (SD) movement. In this context two robot control techniques are subject of study: manual with use of a gamepad and "point and click" on a map that is related to autonomous motion with use of an onboard navigation system. In the SD mode the user manually operates the robot, that is close to a Fig. 1. ReMeDi system overview [1] laying down patient on a settee. In the LD mode the mobile base moves autonomously in a space shared with people to the desired position. Two user studies were conducted. The results show that from the perspective of LD mode the autonomous acceptance from both patients and medical personnel. -
Efficient Design of Precision Medical Robotics
Efficient Design of Precision Medical Robotics by NEVAN CLANCY HANUMARA S.M. Mechanical Engineering Massachusetts Institute of Technology, 2006 B.S. Mechanical Engineering, B.A. French University of Rhode Island, 2004 Submitted to the Department of Mechanical Engineering in Partial Fulfillment of the Requirements for the Degree of Doctorate of Philosophy in Mechanical Engineering at the Massachusetts Institute of Technology September 2012 ©2012 Massachusetts Institute of Technology All Rights Reserved Author: Department of Mechanical Engineering 30 August 2012 Certified by: Alexander H. Slocum Pappalardo Professor of Mechanical Engineering Thesis Supervisor Accepted by: David E. Hardt Professor of Mechanical Engineering Graduate Officer Efficient Design of Precision Medical Robotics by NEVAN CLANCY HANUMARA Submitted to the M.I.T. Department of Mechanical Engineering on 30 August 2012 in Partial Fulfillment of the Requirements of the Degree of Doctorate of Philosophy in Mechanical Engineering Abstract Medical robotics is increasingly demonstrating the potential to improve patient care through more precise interventions. However, taking inspiration from industrial robotics has often resulted in large, sometimes cumbersome designs, which represent high capital and per procedure expenditures, as well as increased procedure times. This thesis proposes and demonstrates an alternative model and method for developing economical, appropriately scaled medical robots that improve care and efficiency, while moderating costs. Key to this approach -
MAPPING the DEVELOPMENT of AUTONOMY in WEAPON SYSTEMS Vincent Boulanin and Maaike Verbruggen
MAPPING THE DEVELOPMENT OF AUTONOMY IN WEAPON SYSTEMS vincent boulanin and maaike verbruggen MAPPING THE DEVELOPMENT OF AUTONOMY IN WEAPON SYSTEMS vincent boulanin and maaike verbruggen November 2017 STOCKHOLM INTERNATIONAL PEACE RESEARCH INSTITUTE SIPRI is an independent international institute dedicated to research into conflict, armaments, arms control and disarmament. Established in 1966, SIPRI provides data, analysis and recommendations, based on open sources, to policymakers, researchers, media and the interested public. The Governing Board is not responsible for the views expressed in the publications of the Institute. GOVERNING BOARD Ambassador Jan Eliasson, Chair (Sweden) Dr Dewi Fortuna Anwar (Indonesia) Dr Vladimir Baranovsky (Russia) Ambassador Lakhdar Brahimi (Algeria) Espen Barth Eide (Norway) Ambassador Wolfgang Ischinger (Germany) Dr Radha Kumar (India) The Director DIRECTOR Dan Smith (United Kingdom) Signalistgatan 9 SE-169 72 Solna, Sweden Telephone: +46 8 655 97 00 Email: [email protected] Internet: www.sipri.org © SIPRI 2017 Contents Acknowledgements v About the authors v Executive summary vii Abbreviations x 1. Introduction 1 I. Background and objective 1 II. Approach and methodology 1 III. Outline 2 Figure 1.1. A comprehensive approach to mapping the development of autonomy 2 in weapon systems 2. What are the technological foundations of autonomy? 5 I. Introduction 5 II. Searching for a definition: what is autonomy? 5 III. Unravelling the machinery 7 IV. Creating autonomy 12 V. Conclusions 18 Box 2.1. Existing definitions of autonomous weapon systems 8 Box 2.2. Machine-learning methods 16 Box 2.3. Deep learning 17 Figure 2.1. Anatomy of autonomy: reactive and deliberative systems 10 Figure 2.2. -
The Safety Issues of Medical Robotics
Reliability Engineering and System Safety 73 ,2001) 183±192 www.elsevier.com/locate/ress The safety issues of medical robotics Baowei Feia,1, Wan Sing Nga,*, Sunita Chauhana, Chee Keong Kwohb aSchool of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 bSchool of Computer Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 Received 22 June 2000; accepted 10 April 2001 Abstract In this paper, we put forward a systematic method to analyze, control and evaluate the safety issues of medical robotics. We created a safety model that consists of three axes to analyze safety factors. Software and hardware are the two material axes. The third axis is the policy that controls all phases of design, production, testing and application of the robot system. The policy was de®ned as hazard identi®cation and safety insurance control ,HISIC) that includes seven principles: de®nitions and requirements, hazard identi®cation, safety insurance control, safety critical limits, monitoring and control, veri®cation and validation, system log and documentation. HISIC was implemented in the development of a robot for urological applications that was known as URObot. The URObot is a universal robot with different modules adaptable for 3D ultrasound image-guided interstitial laser coagulation, radiation seed implantation, laser resection, and electrical resection of the prostate. Safety was always the key issue in the building of the robot. The HISIC strategies were adopted for safety enhancement in mechanical, electrical and software design. The initial test on URObot showed that HISIC had the potential ability to improve the safety of the system. -
Medical Package for Patient Care
Patient care applications Robotics | Experts in Man and Machine STÄUBLI IN LIFE SCIENCE MORE THAN 30 YEARS OF EXPERIENCE Robots contributing Pioneer in robotics to human well being patient care For many years now, Stäubli Robotics Whenever accuracy has to be maintained Stäubli’s unique robot portfolio, decades of Stäubli PUMA 560 robot Stericlean range BHS Technologies Launch of dedicated range Surgery assistance has been on a mission to develop robots alongside factors such as particle industry experience and strong customer Brain biopsy assistance Medtech (needle placement, scanner for medical and pharma Zimmer Biomet (precision vision for life science applications. Stäubli emissions, easy-to-clean surfaces and focus make it a valued partner for renowned support) applications Knee surgery positioning) robots are setting the benchmark for availability, Stäubli has long led the way. life science companies around the globe. 1985 2008 2018 2020 hygiene and safety. 1998 2013 2019 Quantum Surgical Partnership for liver Ortho Maquet Medtech Keranova surgery Hip and knee surgery Spine and brain Cataract operation surgery Life Science H Brain intervention support: Epilepsy, brain tumors, Laboratory research, Pharmaceuticals Manufacturing of Hospital Patient care behavior disorder, drug discovery and biotechnology medical devices automation Parkinson desease and diagnostics Hair transplantation Cataract and eye surgery Hearing implants Dental corrections Shoulder arthroscopy Liver cancer surgery Diagnosis Spine surgery Hip replacement Knee arthroplasty Robotics | Stäubli's offer for patient care applications 3 DESIGNED FOR PATIENT CARE DESIGNED FOR PATIENT CARE Medical package Your partner for safer intervention Stäubli has developed a unique offer to As in our industrial solutions, the medical Stäubli currently operates in 29 countries, meet a number of constraints present in range ensures consistent performance and with agents in 50 countries to provide patient care. -
Advanced Robotic Systems
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS Books of Abstracts| Volume 11 | 2014 | ISSN 1729-8806 International Journal of Advanced Robotic Systems Book of Abstracts Volume 11, 2014 This Book of Abstracts covers the titles, authors, abstracts and keywords of the articles published within Volume 11 of the International Journal of Advanced Robotic Systems. For each of the published articles in 2014 readers can find the link which will lead them to the designated web page and a full-text article available for download. ISSN 1729-8806 www.intechopen.com A New Profile Shape Matching Stereovision Algorithm for Real-time Human Pose Table of Contents and Hand Gesture Recognition Dong Zhang, Dah-Jye Lee and Yung-Ping Chang 17 Modelling, Design and Robust Control of a Remotely Operated Underwater Vehicle Luis Govinda García-Valdovinos, Tomás Salgado-Jiménez, A Simulation Environment for Bio-inspired Heterogeneous Chained Modular Robots Manuel Bandala-Sánchez, Luciano Nava-Balanzar, Rodrigo Hernández-Alvarado Alberto Brunete, Miguel Hernando and Ernesto Gambao 18 and José Antonio Cruz-Ledesma 10 A Novel Robust Scene Change Detection Algorithm for Autonomous Robots Stitching Images with Arbitrary Lens Distortions Using Mixtures of Gaussians Myung-Ho Ju and Hang-Bong Kang 10 Luis J. Manso, Pedro Núñez, Sidnei da Silva and Paulo Drews-Jr 18 An Adaptive Neural Network Learning-Based Solution for the Inverse Kinematics Online Joint Trajectory Generation of Human-like Biped Walking of Humanoid Fingers Jong-Wook Kim 19 Byoung-Ho Kim 11 An Underactuated Multi-finger Grasping Device An Efficient Ceiling-view SLAM Using Relational Constraints Between Landmarks Cesare Rossi and Sergio Savino 19 Hyukdoo Choi, Ryunseok Kim and Euntai Kim 11 Quantile Acoustic Vectors vs. -
Investor Allstars Brochure 2015.Pdf
1 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. -
Deliberative Perception
Deliberative 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). -
High Performance Medical Robot Requirements and Accuracy Analysis C
High Performance Medical Robot Requirements and Accuracy Analysis C. Mavroidis1, J. Flanz2, S. Dubowsky 3, P. Drouet4 and Michael Goitein2 1 Department of Mechanical and Aerospace Engineering, Rutgers University 98 Brett Road, Room B-217, Piscataway, NJ 08854, USA Tel 732-445-0732, Fax 732-445-3124, email [email protected] 2 Northeast Proton Therapy Center, Massachusetts General Hospital Boston, MA 02114 USA, Tel 617-724-9528, Fax 617-724-9532 3 Massachusetts Institute of Technology, Department of Mechanical Engineering Cambridge, MA 02139, USA, Tel 617-253-2144, Fax 617-258-7881 4 Laboratoire de Mécanique des Solides, Université de Poitiers Bât. SP2MI, 86960 Futuroscope, FRANCE, Tel 05.49.49.65.00 Abstract The treatment of disease using particle beams requires highly accurate patient positioning. Patients must be well immobilized and precisely aligned with the treatment beam to take full advantage of the dose localization potential. Robots can be used as high accuracy patient positioning systems. In this paper, the first such implementation using robotics techniques for patient positioning will be discussed. This robot is being developed for the Northeast Proton Therapy Center at the Massa- chusetts General Hospital. The unique requirements and design characteristics of the patient posi- tioning system are presented. Of special interest is the system's patient positioning accuracy. A systematic methodology to perform the error analysis of serial link manipulators and its application to the PPS is described. Experimental measurements that verified the validity of the method are shown. 1 INTRODUCTION The application of robotic technology in clinical medicine has recently been a very active research area [7]. -
Gwell Medical Solution Brief
Solution Brief Medical and Life Sciences Gwell Medical (mRobot) Optimizes Hospital Logistics Robotic Solution Based on Intel® Architecture The Noah robot is an excellent substitute for human labor. A logistics worker can usually handle up to 30 kg at a time, while the Noah robot can carry up to 300 kg. As labor costs increase and hospitals require more stringent logistics management, a traditional human labor approach will make it hard to meet Authors: these challenges. In the future, hospitals will have trends similar to factories: Zhen (Fiona) Zhao more robots will gradually assist with these changing demands. Deep learning technical consulting engineer, Intel Corporation – Wei Lü Cofounder and CTO Lei Zhang Software algorithm engineer, Gwell Medical Gwell Medical Technology Co., Ltd. Xuesong Shi Gwell’s Noah hospital robot uses Intel® technologies to perform Research scientist, Intel Labs China, many human tasks Intel Corporation Hospital business operations have significant logistics demands for the distribution of Dmitry Kurtaev medications, consumables, food and beverages, and for waste removal. Technologies including Deep learning software engineer, robotics, computer vision, artificial intelligence (AI), and deep learning (DL) are automating Intel Corporation logistics operations in hospitals to help improve efficiency and streamline human workloads. Gan Zhang Navigation control development manager, To address these rapidly evolving needs, Shanghai Gwell Medical (formerly known as mRobot) Gwell Medical Technology Co., Ltd. developed the Noah hospital logistics robot based on an Intel® Core™ processor, Intel® Movidius™ vision processing unit (VPU), and Intel® Distribution of OpenVINO™ Hengkang Liang toolkit. The Noah robot incorporates cutting-edge technologies such as autonomous Hardware engineering director, Gwell Medical navigation, elevator access, loading/unloading, and multirobot scheduling. -
The Fourth Industrial Revolution a Davos Reader
The Fourth Industrial Revolution A Davos Reader FOREIGNAFFAIRS.COM Portrait by renowned illustrator Joseph Adolphe. WILMINGTON TRUST RENOWNED INSIGHT “In a world where knowledge is power, investment intelligence is the most valuable currency.” In the spirit of bringing intellectual Aligned impressions. Much capital to our clients, we recently of this spirited talk reaffirmed hosted a captivating conversation Wilmington Trust’s core narrative, between Foreign Affairs editor favoring U.S. stocks and the country’s Gideon Rose and Fareed Zakaria, “THE MIDDLE EAST CNN host and Washington Post IS NOT THAT columnist. The U.S. economy was the IMPORTANT TO THE GLOBAL ECONOMY.” first topic, and Rose was cautiously – Fareed Zakaria, October 2015 hopeful, noting that pessimism can negatively impact portfolios. dominant economy. In a low-return Tony M. Roth On global growth. Focusing environment, we see the preeminence of M.A., J.D., LL.M. (Tax) internationally, the two agreed current income. For bonds in particular, Chief Investment Officer China’s economy is growing slowly. we expect challenges to persist, yet see Tony brings more than 20 years However, Zakaria stressed that opportunity for yield to be a durable of experience to bear on client portfolios each and every day. economic barometers such as GDP part of total return. We recommend He leads the team that executes don’t capture intangibles such as portfolios have an allocation for our six-stage investment process, quality of life or internet access, adding emerging markets, but expect short- which features an innovative U.S. that the “information economy” term struggles with growth, inflation, sector equity allocation approach will revolutionize industries such as and currency depreciation.