electronics and robotics - ajith amarasekara

Click here to load reader

Post on 13-Apr-2017

77 views

Embed Size (px)

TRANSCRIPT

  • Paradigm Shifts and Opportunities in the Electronics Industry

    Dr. Ajith Amerasekera University of California, Berkeley, USA Synergen Technology Lab, Colombo, Sri Lanka and Dallas, USA September 2016

  • Outline

    Introduction

    Market Growth

    Technology Drivers

    Expertise

    Summary

  • LOOKING BEYOND WIRELESS

    Market Growth

    3

  • Technology Trends

    Mega-Trends:

    Population growth

    Super-urbanization

    Transportation and Connectivity

    Limited natural resources

    Electronic technology is changing the way the world operates Replacing mechanical components as we automate

    tasks that have never been automated before

  • World Market for Internet Connected Devices - New Device Shipments Connected Devices (M)

    Source: IMS Research Aug-12

    0

    2,000

    4,000

    6,000

    8,000

    10,000

    12,000

    14,000

    2011 2012 2013 2016 2019 2022 2025

    Military &Aerospace

    Medical

    Industrial

    Consumer

    Computers

    Communications,Mobile

    Communications,Fixed

    Automotive

    Market Growth Opportunities

    Driven by Industrial And Consumer Apps

  • LOOKING BEYOND WIRELESS

    What is driving the technology?

    6

  • New Application Drivers: A Fundamental Transformation in Engineering

    Pre-1950s: Engineering the physical world (industrial revolutions)

    Post 2000: Cyberphysical Systems bridging the two, engaging society at large

    1950-2000s: Engineering abstract objects (the cyber world)

  • The Many Faces of CyberPhysical/Biological Systems

    IoT (Consumer, Smart Homes)

    Sensor Nets (Smarter Planet)

    Industrial Internet (Industry 4.0, M2M, V2V)

    Human Intranet

  • 9

    Connectivity Platform for the Future

    Beyond 5G, networks will be required to provide ubiquitous connectivity for large amounts of information transfer video, security, information.

    Semiconductor technologies transforming society from personal well-being to industrial automation and transportation.

    Autonomous systems with closed loop control require more data bandwidth driving higher communication speeds, with lower latency, high robustness, and high energy efficiency.

  • The IoT More than just things

    Cloud Gateway Bridge or

    Router

    Edge Node

    s

    Edge Nodes

    Connected Things Enabling a More Interactive Environment

    Connected Systems Enabling a More Efficient Environment

    Smart Systems Smart Things

  • The Next Frontier: CoBots and the Industrial Internet

    The Tactile Internet

    The Manufacturing Revolution Ahead

    Gerhard Fettweis Slide 13

    http://jerryrushing.net/wp-content/uploads/2012/04/robotic_assembly_line1.jpg http://www.witchdoctor.co.nz/wp-

    content/uploads/2013/01/robot-fabrication-station.jpg

    The Tactile Internet: Remote Controlled Humanoid Robots

    Gerhard Fettweis

    http://images.gizmag.com/hero/8456_51207105642.jpg

    http://www.dvice.com/archives/2011/05/kinect_controll_1.php

    An Internet with co-joint Senses and Motor Control

    Human-Machine Collaboration brings new challenges and opportunities

    Driving the need for real-time communications

  • Internet of Things in Production

    The Smart Factory is an autonomous, self configurable, decentralized production facility

    The starting materials and the tools are intelligent, have their own identity and can be

    located at any time; they know their history, status and how to reach their final state.

    The Smart Factory is able to handle complexity, achieving significantly higher flexibility and

    adaptability by using highest productivity and quality levels with optimized use of resources

    Internet of Things

    Industrial

    Internet of

    Things

    Industry 4.0

    Consumer Building Industrial Manufacturing

    Real-time

    Functional Safety

  • After You (-)

    Go

    Sag

    Slow-down Propagation Smooth flow at 50Km/h

    Merger Assist

    Passing Assist (w/BSW)

    Sag Congestion

    Highway Road

    Local Group Cooperation

    Go Assist for

    Green Light

    Green Wave Flow

    Automotive Future V2I and V2V Communication

    Urban Road

    Toyota, ISSCC 2013

  • Extend ourselves!

    [Time Magazine, September 2014]

    The Future

  • A Human Intranet

    [J. Rabaey, Pervasive. Comp., 2014] Image courtesy Y. Khan, UCB

    An open scalable platform enhancing human capabilities

    Empowered Humans in an Augmented World

  • IoT : System on a Chip

    16

    Energy storage

    Sensor

    Wireless Sensor Node

    Energy Storage

    Energy Harvesting

    MEMS Sensor Motivation and design conceptThe "smart grid" will require new, inexpensive sensors to measure electric current

    throughout the network. Applications include monitoring electricity end-use,

    condition monitoring of underground distribution cables, and network fault detection

    and diagnosis.

    We have developed a new MEMS (micro-electro-mechanical systems) AC current

    sensor for these applications. It is passive, requiring no power source, and is thus

    suitable for wireless sensor node deployment. The sensor operates on proximity

    without needing to encircle the current carrier or break the electric circuit upon

    installation, resulting in an expanded set of possible deployment scenarios.

    Cable

    Piezoelectric

    MEMS Cantilever

    Microscale

    Magnet

    Output

    Voltage

    Magnetic

    Field

    Cable

    Piezoelectric

    MEMS Cantilever

    Microscale

    Magnet

    Output

    Voltage

    Magnetic

    Field AC current results in an oscillating

    magnetic field around a wire.

    Cantilever oscillates due to the magnet on

    the end of the cantilever interacting with the

    magnetic field of the wire.

    Piezoelectric coating on cantilever

    outputs an oscillating voltage.

    Oscillation amplitude and output voltage

    are proportional to the amplitude of the

    current traveling through the wire.

    Radio

    Energy harvesting

    Radio

  • Expertise

    17

  • Electronic Control Systems

    Interpret

    Control Actuate

    Sense

    Data Acquisition Signal

    Processing Machine

    Learning Control Theory Computing

  • Challenges

    At all possible levels:

    Physical layer and low latency networks

    Architecture and infrastructure; closed loop and control systems

    Ultra low-energy cognitive processing

    Machine learning, system modeling , planning and anticipation, game theory, collaboration, decision making

    Combining many fields together for system-level solutions

  • The Global Industry High speed communication systems have changed the way we

    operate with ease of access to people, machines, databases.. Global access to manufacturing, no longer restricts the industry to

    a few countries with large investment capability in manufacturing infrastructure.

    New systems will be small and deployed in vast numbers distributing intelligence across the board and dramatically changing the management of our cities, buildings, personal life, health, transportation, safety and security.

    These systems require data acquisition and analysis, along with machine learning and adoption.

    Expertise in digital signal processing, data analytics, neural networks, and control systems theory, will be important in developing the new applications.

    Countries producing strong computer science and engineering skills, will be abe to engage in the economic growth enabled by these technologies

  • Areas of Opportunity for Sri Lanka

    Digital Health/Telemedicine: This is an area that is wide open for technology. Todays systems are still very primitive. $76B in 2015 22% CAGR Needs an infrastructure that enables simple, transparent, interaction between remote devices and the

    central management systems iTunes for Medical Systems

    Medical practitioners have to be able to quickly access and analyze the data and provide direction.

    Wearables: $14B in 2014, $70B in 2022

    Synergies with strong Sri Lankas textile industry

    Ultra low power systems, signal processing and data analytics

    Flexible electronics, including batteries and energy harvesting.

    Factory and Industrial Automation: $150B in 2014, $200B in 2020 Mechatronics - Intelligent systems for Cobots, Robots, and Automation.

    Need to work with systems manufacturers to understand their needs and driver technologies

    Smart Agriculture: $3B in 2015 to $5B in 2020 Need to work with users to develop solutions to make electronics in agriculture a differentiator.

    Investments:

    Governments see technology investment as a forcing function

    Long development times require deep pockets to withstand market pressures

    Big investments across Asia as other countries see the economic value of technology.

    21

  • 22

    Opportunities for Sri Lanka

    Synergen Tech Labs An Example Self-funded by entrepeneurs with healthcare software experience. Began

    in 2014 and has 9 recent undergraduates from University of Moratuwa.

    Focus on Intelligent Systems for the IoT. Quickly came up to speed on IoT technologies using existing and new platforms. The platforms are not differentiating.

    Differentiating skills are signal processing, communication theory, and control systems.

    Areas where Universities in Sri Lanka have great advantages.

    Combined with mechanical engineering, to enable mechatronics a growing need in this field.

    STL identified niche areas in health care (e.g. telemedicine), wellness and wearables as providing opportunities for differentiation at global level.

  • 23

    SUMMARY

    Opportunities: mechanical systems are being replaced by electronics with intelligence enabling autonomous operation, adaptability, energy efficiency.

    Challenges: need to work with the systems manufacturers to understand the requirements

    Introduction times are long and so are development times; need patience

    Skills: data acquisition and analytics, signal processing, machine learning, and control theory, are critical.