Disruptive Technologies

Total Page:16

File Type:pdf, Size:1020Kb

Disruptive Technologies DISRUPTIVE TECHNOLOGIES A Disruptive Technology is a technology or innovation, which is initially a combination of niche technologies or innovative ideas to create a high end product or service, typically such which the existing market does not expect; and when the technology becomes affordable and accessible, it eventually ends up disrupting the existing consumer market and creating a market of its own. DIAGRAM 1: Big Bang Market Adoption FIGURE 1: Different types of theories used to describe the market response to Disruptive Technologies. The Rogers’ theory explains this response in the form of a bell curve (grey), while the recent Big Bang theory explains it in the form of a shark fin curve (orange) • Sustaining Technologies are different from Disruptive Technologies in such that they only rely on evolutions and advancements in existing products, thus making firms compete against one another leveraging the improvements each firm can make in their product • In the nascent stage of a disruptive innovation, the market is largely exploratory and mostly led by smaller, innovation driven and entrepreneurial firms. Larger firms tend to stay away from disruptive innovations because either the margins are too tight for them; or their business structure is such that even willingly, they cannot enter the disruptive innovation market due to potential tradeoffs such as cannibalization • Every product market is dynamic and bound to encounter disruptions at some stage or the other. Disruptive innovations can even hurt successful, well managed companies that are responsive to their customers and have excellent R&D. Hence incumbent firms must constantly try to innovate and keep their products relevant in the market Source: KPMG, McKinsey & Company, Accenture THE NEED TO ACKNOWLEDGE DISRUPTIVE TECHNOLOGIES FIGURE 2: Expected Potential Impact of Selected Disruptive Technologies by 2016 • In today’s age, technological advancements, speedy internet, super computing and so on are shaping the course of our economies, in addition to enabling us to enjoy highly comfortable lives, with the knowledge of the world literally at our fingertips • We are today at the cusp of a probable technological revolution which might not only solve existing global problems, but could also transform the world as we see it and our lives as we live them • The world needs solutions to overcome a breadth of interconnected challenges, ranging from the economic to social issues, which could together result in an improvement in the quality of lives globally, if addressed properly • In such a dynamic environment, it could be potentially disastrous for individuals, companies, and even governments who refuse to embrace the emergence of the disruptive way of thinking, since many of these disruptive technologies possess the potential to trigger the solutions to our global problems • Innovators and investors, who recognize and attempt to seize the various opportunities in the development of disruptive technologies, stand to reap a first – mover advantage once these technologies manages to disrupt the existing market and capture the fancy of users around the world Major sectors which could be influenced by the Disruptive Technologies presented in this document include Manufacturing, Infrastructure, Energy, Healthcare, Education, Retail and Entertainment What follows is a list of 50 major Disruptive Technologies/ Innovations/ Products that currently exist in markets around the world; and have either caused disruptions in their corresponding sectors or are on the cusp of doing so Source: ‘Six Converging Technology Trends’, KPMG India and Nasscom, 2013 #1: 3D PRINTING Concept: 3D printing is basically an additive manufacturing process in which objects are built layer by layer rather than through moulding or subtractive techniques. This technology allows the user to build real objects from virtual 3D objects. This is done by ‘cutting’ the virtual object in 2D slices and printing the real object slice by slice. Industry Application Consumer markets •Certain consumer product categories are relatively easy to make using this technology Manufacturing (General) •Cost cutting through elimination of tooling costs, reduction in wasted material, and reduced handling costs Manufacturing (Mold's) •Shortening setup times, eliminating tooling errors and high efficient moulding process Current Stage: • 3D printing could generate an economic impact of USD 230 Billion to USD 550 Billion per year by 2025 • Major techniques include selective laser sintering, direct metal laser sintering, fused deposition modeling, stereo lithography and inkjet bio-printing • The biggest advantage of this technology is that it provides instant modeling to get an idea of the final product, which can cut costs and time significantly Source: McKinsey & Company, The Engineer Magazine #2: THE INTERNET OF THINGS Concept: The Internet of Things (IoT) is a concept of embedding every object or living being with sensors or actuators and generating their virtual representation on the internet. Identifying all objects in this unique manner can enable us to effectively track, monitor and even control them. Industry Application Manufacturing: • Identifying bottlenecks Current Stage: • Optimizing processes Healthcare: • Constant health monitoring • Has the potential to create economic impact of • Detecting counterfeit drugs USD 2.7 Trillion to USD 6.2 Trillion annually by Retail: • Keeping track of inventory levels 2025 • Product details • Currently around 8.7 Billion devices are Energy: • Smart Grid applications connected to internet and the number is Urban Development: • Traffic monitoring expected to touch 40 Billion by 2020 • Waste and Water management through smart meters and leak detection sensors • The major challenge is to make use of the flood Agriculture: • Soil sensors and Leaf sensors of the data that is provided by the sensors Source: McKinsey & Company, Cisco Systems, Cisco Internet Business Solutions Group #3: BIG DATA ANALYTICS Concept: Big Data means the data sets with sizes beyond capacities of commonly used software tools to capture, curate, manage, and process the data within a tolerable elapsed time. Big Data Analytics technology refers to storing and managing large chunk of data in a single location for analysis and evaluation at later stages. However, the term Big Data is quite variable in terms of data sizes ranging from few dozens terabytes to many petabytes of data in a single data set. Industry Application Retail • Improved marketing, merchandising, operations, supply chain and after sales service Current Stage: Healthcare •Real-time exploration and predictive • The global market of big data is expected to increase from USD 5.4 analytics of clinical data for R & D Billion in 2012 to USD 48 Billion till 2016 Telecom •Measure and analyze customer activities, customer churn, call handling at call centers • Clubbed with technologies like cloud computing, social media and mobile Finance Generate customer insight and reduce • internet; Big Data Analytics can offer fraudulent practices benefits to sectors like education, defense, aerospace, government services and several others Source: KPMG, International Journal of Internet Science, McKinsey & Company #4: CLOUD CO MPUTING Concept: Cloud computing means storing and accessing data and programs over the Internet instead of your computer's hard drive. Here cloud is simply the metaphor for internet. This technology can significantly reduce the need of the personal storage devices and hence can cut down user cost substantially. Industry Application Healthcare • Access and retrieve information stored in scattered systems in real time Telecom • Reduced cost in setting up infrastructure Retail • Data stored and accessed remotely for inventory reducing the time and cost Public Sector • Easy and fast access to data and applications remotely Information Technology • Cost cutting in infrastructure development as renting a cloud server is far cheaper than developing one Current Stage: • The total economic impact of cloud technology could be USD 1.7 Trillion to USD 6.2 Trillion annually by 2025 • Cloud technology is the cornerstone for some of the most promising disruptive technologies like mobile internet, automation of knowledge work, internet of things and big data • Some of the major research areas for this technology are network capacity, security of data and cultural resistance source: KPMG, McKinsey & Company #5: ADVANCED NANO-MATERIALS Concept: Any use or manipulation of materials at a scale of less than 100 nanometers (10-7 meters) can be termed as nanotechnology. Advanced nano-materials can be created by direct modification of molecular sized nano-particles using tools like atomic force microscopes, electron beam or laser lithography which are capable of dealing with nano-scale features. Industry Application Healthcare • Rapid, inexpensive electronic DNA sequencing Energy • Application in solar cells • For energy storage as supercapacitors Electronics • Integrated Circuits • Transparent conducting electrodes, which can be used as touchscreens; LCDs Current Stage: • For healthcare, which will be the most benefitted sector through this technology, advanced nano-materials could have a potential economic impact of USD 150 Billion to USD 500 Billion annually by 2025 • Graphene is the most promising advanced material. It is one sixth the weight of steel and 100 times stronger. The production of Graphene has been started, however at high cost and in limited quantities
Recommended publications
  • FULLTEXT01.Pdf
    Designing transparent display experience through the use of kinetic interaction A Master’s Thesis by Interaction Design Master’s Programme Rafael Rybczyński School of Arts and Communication (K3) Malmö University, Sweden August 2017 MSwedenugust 2017 Designing transparent display experience through the use of kinetic interaction Interaction Design Master’s Programme School of Arts and Communication (K3) Malmö University, Sweden August 2017 Author: Rafael Rybczyński Supervisor: Susan Kozel Examiner: Clint Heyer Thesis Project I 15 credits 2017 Acknowledgements Over the lengths of this thesis project I have received support and encouragement from a many people. First of all, I would like to thank my supervisor Susan Kozel for advising me to trust my own instinct. Moreover I would like humbly to thank all the participants without whom this project would not have been possible. Also humbly I thank Alvar, Sanna, and Susanne for shelter and feedback. For proofreading my thanks goes to Jan Felix Rybczyński and Sanna Minkkinen. Finally, my deepest gratitude is reserved to my father Dr. med. Jerzy Antoni Rybczyński. Rest in peace. I would have wished for you reading this paper. Author’s notes Often during the process of doing this study I was asked why transparent displays. What’s the point? Probably I would say this goes way back to my childhood when enjoying my father reading novel stories to us as good night stories. A good example of great stories was Scheerbart’s utopian architectural vision The Gray Cloth who told about the great Swiss architect who traveled by an airship. Wherever he went, he designed buildings made from brightly colored glass, including the roof.
    [Show full text]
  • Smart Dust: Communicating with a Cubic- Millimeter Computer
    COVER FEATURE Smart Dust: Communicating with a Cubic- Millimeter Computer The Smart Dust project is probing microfabrication technology’s limitations to determine whether an autonomous sensing, computing, and communication system can be packed into a cubic-millimeter mote to form the basis of integrated, massively distributed sensor networks. Brett ecreasing computing device size, increased • monitoring environmental conditions that affect Warneke connectivity, and enhanced interaction with crops and livestock; the physical world have characterized com- • building virtual keyboards; Matt Last puting’s history. Recently, the popularity of • managing inventory control; Brian Dsmall computing devices, such as handheld • monitoring product quality; Liebowitz computers and cell phones, burgeoning Internet • constructing smart-office spaces; and growth, and the diminishing size and cost of sensors— • providing interfaces for the disabled. Kristofer S.J. especially transistors—have accelerated these trends. Pister The emergence of small computing elements, with SMART DUST REQUIREMENTS University of sporadic connectivity and increased interaction with Smart Dust requires both evolutionary and revolu- California, the environment, provides enriched opportunities to tionary advances in miniaturization, integration, and Berkeley reshape interactions between people and computers energy management. Designers can use microelectro- and spur ubiquitous computing research.1 mechanical systems (MEMS) to build small sensors, The Smart Dust project2 is exploring whether an optical communication components, and power sup- autonomous sensing, computing, and communication plies, whereas microelectronics provides increasing system can be packed into a cubic-millimeter mote (a functionality in smaller areas, with lower energy con- small particle or speck) to form the basis of integrated, sumption. Figure 1 shows the conceptual diagram of massively distributed sensor networks.
    [Show full text]
  • Kent Academic Repository Full Text Document (Pdf)
    Kent Academic Repository Full text document (pdf) Citation for published version Arief, Budi and Blythe, Phil and Fairchild, Richard and Selvarajah, Kirusnapillai and Tully, Alan (2008) Integrating Smartdust into Intelligent Transportation System. In: 10th International Conference on Application of Advanced Technologies in Transportation (AATT 2008), 27-31 May 2008, Athens, Greece. DOI Link to record in KAR https://kar.kent.ac.uk/58716/ Document Version UNSPECIFIED Copyright & reuse Content in the Kent Academic Repository is made available for research purposes. Unless otherwise stated all content is protected by copyright and in the absence of an open licence (eg Creative Commons), permissions for further reuse of content should be sought from the publisher, author or other copyright holder. Versions of research The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record. Enquiries For any further enquiries regarding the licence status of this document, please contact: [email protected] If you believe this document infringes copyright then please contact the KAR admin team with the take-down information provided at http://kar.kent.ac.uk/contact.html INTEGRATING SMARTDUST INTO INTELLIGENT TRANSPORTATION SYSTEMS Budi Arief1, Phil Blythe2, Richard Fairchild3, Kirusnapillai Selvarajah4, Alan Tully5 ABSTRACT. The last few years have seen the emergence of many new technologies that can potentially have major impacts on Intelligent Transportation Systems (ITS). One of these technologies is a micro-electromechanical device called smartdust. A smartdust device (or a mote) is typically composed of a processing unit, some memory, and a radio chip, which allows it to communicate wirelessly with other motes within range.
    [Show full text]
  • Openfog Reference Architecture for Fog Computing
    OpenFog Reference Architecture for Fog Computing Produced by the OpenFog Consortium Architecture Working Group www.OpenFogConsortium.org February 2017 1 OPFRA001.020817 © OpenFog Consortium. All rights reserved. Use of this Document Copyright © 2017 OpenFog Consortium. All rights reserved. Published in the USA. Published February 2017. This is an OpenFog Consortium document and is to be used in accordance with the terms and conditions set forth below. The information contained in this document is subject to change without notice. The information in this publication was developed under the OpenFog Consortium Intellectual Property Rights policy and is provided as is. OpenFog Consortium makes no representations or warranties of any kind with respect to the information in this publication, and specifically disclaims implied warranties of fitness for a particular purpose. This document contains content that is protected by copyright. Copying or distributing the content from this document without permission is prohibited. OpenFog Consortium and the OpenFog Consortium logo are registered trademarks of OpenFog Consortium in the United States and other countries. All other trademarks used herein are the property of their respective owners. Acknowledgements The OpenFog Reference Architecture is the product of the OpenFog Architecture Workgroup, co-chaired by Charles Byers (Cisco) and Robert Swanson (Intel). It represents the collaborative work of the global membership of the OpenFog Consortium. We wish to thank these organizations for contributing
    [Show full text]
  • Swarm Robotics Applications Using Argos and Mavproxy |
    WHITE PAPER Autonomous Swarms in Active Services Abstract Robotics has evolved across multiple industry segments, from manufacturing to advanced technology, surveillance, and disaster management. Typically, robotics-driven processes are characterized by a set of pre-defined requirements and operations, carried out by individual robots (bots), and performed at an accelerated pace. However, collective decision making by autonomous intelligent robots, leveraging the concepts of machine learning and artificial intelligence (AI), is becoming increasingly important for agile operations. Technological advances have helped realize swarm operations, in which autonomous bots work in a coordinated manner to effectively execute tasks. In this paper, we propose the approach, design, and implementation of a robot swarm ecosystem that enables: n Active servicing: Collective decision making and execution to solve problems n Collaboration: Automated swarm response to priority services, without external directives n Automaticity: Leveraging blockchain for real- time processing of services being advertised as well as exchange of information WHITE PAPER Autonomous Swarms: Current Trends and Challenges The robotics landscape is rapidly evolving, with bots already being deployed for enterprise operations, commercial purposes, home automation and industrial applications. Robot swarms are being leveraged across segments including retail, travel, healthcare, manufacturing and semiconductors, for a variety of use cases. These swarms are being enabled with the autonomy to operate independently once a preset task or a passive service is assigned, leading to an evolved ecosystem of autonomous nodes or swarms. However, autonomous nodes/swarms executing passive services have two specific failure points. One is central management and the other is a non-configurable preset task. De-centralized management is a viable option, but it only scales down the risk and does not eliminate the point of failure.
    [Show full text]
  • Smart Dust Technology
    250, Mini-Project Report Amy Haas Smart Dust Technology Smart dust is an emerging technology with a huge potential for becoming an internationally successful commercial venture. Now is the best time to invest in smart dust – right at the point at which the scientific community is close to perfecting the technology and its applications but its potential has not yet been realized by the capitalist market. Fundamental Concept Smart dust is a theoretical concept of a tiny wireless sensor network, made up of microelectromechanical sensors (called MEMS), robots, or devices, usually referred to as motes, that have self-contained sensing, computation, communication and power1. According to the smart dust project design created by a team of UC Berkeley researchers2, within each of these motes is an integrated package of “MEMS sensors, a semiconductor laser diode and MEMS beam-steering mirror for active optical transmission, a MEMS corner-cube retroreflector for passive optical transmission, an optical receiver, signalprocessing and control circuitry, and a power source based on thick-film batteries and solar cells.” The intent is that these motes will eventually become the size of a grain of sand or a dust particle, hence the name “smart dust”, but the technology still has a long way to go to achieve its target size. In current sensor technology, the sensors are about the size of a bottle cap or small coin. As with most electronic devices or technologies, the biggest challenges in achieving actual smart dust are the power consumption issues and making the batteries small enough. Although there is a lot of work being done on solar cells to keep the motes self-sustaining, the components are just not small enough yet to actually be considered smart dust.
    [Show full text]
  • Jul 2 7 2000
    THE SNAP! TOOLKIT FOR DEVELOPING SENSOR NETWORKS AND APPLICATION TO XC SKIING BY MATTHEW B. DEBSKI Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY May 2000 2 20C: MASSACHUSETTS INSTITUTE © Massachusetts Institute of Technology 2000. All rights reserved. OF TECHNOLOGY JUL 2 7 2000 LIBRARIES Author Department of Electrical Engineering and Computer Science May 18, 2000 Certified by MichaelJ. Hawley Assistant Prolssor of Media Arts and Sciences Alex Dreyfoos Jr. (1954) Career Development Professor of Media Arts and Sciences Thesis Supervisor Accepted by Arthur C. Smith Chairman, Department Committee on Graduate Theses ' pT THE SNAP! TOOLKIT FOR DEVELOPING SENSOR NETWORKS AND APPLICATION TO XC SKIING BY MATTHEW B. DEBSKI Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degrees of Bachelor of Science in Electrical Engineering and Computer Science and Master of Engineering in Electrical Engineering and Computer Science May 18, 2000 ABSTRACT Athletes, health professionals, animal specialists, meteorologists, and other investigators increasingly employ small, human-scale sensor networks in their disciplines. The sensor networks used by each field and study have unique requirements. Regardless, these networks all collect and store data, and often display or transmit them. The Snap! toolkit takes advantage of the similarities among sensor networks to make prototyping them fast and easy. Simultaneously, it acknowledges their inherent differences, remaining flexible in order to accommodate the needs of different systems.
    [Show full text]
  • Supporting Mobile Swarm Robotics in Low Power and Lossy Sensor Networks 1 Introduction
    1 Supporting Mobile Swarm Robotics in Low Power and Lossy Sensor Networks Kevin Andrea [email protected] Robert Simon [email protected] Sean Luke [email protected] Department of Computer Science George Mason University 4400 University Drive MSN 4A5 Fairfax, VA 22030 USA Summary Wireless low-power and lossy networks (LLNs) are a key enabling technology for the deployment of massively scaled self-organizing sensor swarm systems. Supporting applications such as providing human users situational awareness across large areas requires that swarm-friendly LLNs effectively support communication between embedded and mobile devices, such as autonomous robots. The reason for this is that large scale embedded sensor applications such as unattended ground sensing systems typically do not have full end-to-end connectivity, but suffer frequent communication partitions. Further, it is desirable for many tactical applications to offload tasks to mobile robots. Despite the importance of support this communication pattern, there has been relatively little work in designing and evaluating LLN-friendly protocols capable of supporting such interactions. This paper addresses the above problem by describing the design, implementation, and evaluation of the MoRoMi system. MoRoMi stands for Mobile Robotic MultI-sink. It is intended to support autonomous mobile robots that interact with embedded sensor swarms engaged in activities such as cooperative target observation, collective map building, and ant foraging. These activities benefit if the swarm can dynamically interact with embedded sensing and actuator systems that provide both local environmental or positional information and an ad-hoc communication system. Our paper quantifies the performance levels that can be expected using current swarm and LLN technologies.
    [Show full text]
  • Scheme for Incentive to Industries Preamble One of the Leading Industrial States. Government of Gujarat Has Announced an The
    Guiarat Industrial Policy 2015 - Scheme for Incentive to Industries Government of Guiarat Industries & Mines Department Resolution No.INC-10201 5-645918-I Sachivalaya, Gandhinagar Dated: 25/07 /20L6 Read: Industrial Policy 2015 of Government of Gujarat Preamble Gujarat has always been at the forefront of economic growth in the country. It is one of the leading industrial states. Government of Gujarat has announced an ambitious Industrial Poliry 2015, in lanuary 2015, with the objective of creating a healthy and conducive climate for conducting business and augmenting the industrial development of the state. The Industrial Poliry has been framed with the broad idea of enhancing industrial growth that empowers people and creates employment, and establishes a roadmap for improving the state's ability to facilitate business. Gujarat's development vision will continue to emphasize on integrated and sustainable development, employment generation, opportunities for youth, increased production and inclusive growth. Make in India is a prestigious program of Government of India. The Industrial Poliry 2015 ofthe Government of Gujarat envisages a focused approach on the Make in India program as the state's strategy for achieving growth. Gujarat is a national leader in 15 of the 25 sectors identified under the Make in India program, and is also focusing on 6 more sectors. Thus, with a strong base in 21 out of the 25 sectors under Make in India, Gujarat can take strong leadership in this prestigious program of the Government of India. The Industrial Policy 2015 aims to encourage the manufacturing sector to upgrade itself to imbibe cutting edge technology and adopt innovative methods to significantly add value, create new products and command a niche position in the national and international markets.
    [Show full text]
  • Robot Based Home Automation
    International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1S4, June 2019 Robot based Home Automation L. Nikhil Manikanta, M. Pushpavalli, P. Saikumar, P. Sivagami, M. Vikram Reddy, P. Abirami Abstract--- Robot Based Home Automation, nowadays in the information for the security outside the home for potential society we cannot trust anyone compared to systems and robots. threats and smart control of things like main gates, garage By trusting robots and the internet of things is much more than and also scanning the person through facial recognition human beings. When it comes to our home, the concept is to outside the home [4]. The setup also contains the solar make it smarter, safer and automatic and with the security of a robot. This project looks on building smart wireless and robotic panels for lighting purpose in the garden at the night. There security system which sends second to second information to is a waterproof fire sensor for when the fire appears owners and that too stored in the cloud by using the internet of accidental in the home automatically it detects and sprinkler things in case of any raises an alarm. Home automation by will on and water will appear inside the home. Gas sensor making some set of sensors. Internet of things is growing more by also used in the kitchen due to detection of leakage of day by day. Internet of Things is a system that uses computers cooking gas and it gives the alarm. For old age people, the and mobile devices to control home functions through the internet from anywhere in the world.
    [Show full text]
  • Special Feature on Advanced Mobile Robotics
    applied 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.
    [Show full text]
  • A Brief Review on Robotic Exoskeletons for Upper Extremity
    botic Ro s & n A i u s t e o m Islam et al., Adv Robot Autom 2017, 6:3 c n a a Advances in Robotics t v i DOI: 10.4172/2168-9695.1000177 o d n A ISSN: 2168-9695 & Automation Research Article Open Access A Brief Review on Robotic Exoskeletons for Upper Extremity Rehabilitation to Find the Gap between Research Porotype and Commercial Type Md Rasedul Islam*, Christopher Spiewak, Mohammad Habibur Rahman and Raouf Fareh College of Engineering and Applied Science, University of Wisconsin-Milwaukee, USA Abstract The number of disabled individuals due to stroke is increasing day by day and is projected to continue increasing at an alarming rate in United States. But the current amount of health professionals in physical therapy is inadequate to provide rehabilitation to these large groups. From early 1990s, researchers have been trying to develop an easy and feasible solution to this problem and lot of assistive devices both end effector type or exoskeleton type have been developed till to date. However, only a few of them have been commercialized and are being used in rehabilitation of post-stroke patients. Making the use of exoskeletons and other devices to regain lost motor function is rare. Providing therapy to this large group is quite impossible without commercializing of exoskeleton. This has motivated the authors to make a literature review and figure the reasons out that need to be solved to bridge the gap between research prototype to commercial version. This paper covers the necessity of incorporating robotic devices in rehabilitation, a brief description of existing devices particularly upper limb exoskeletons, their hardware limitations, and control issues.
    [Show full text]