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www.csiro.au
Autonomous
Systems Lab
CRC Meeting Meeting June 2016
ASL History (1995-2010)
Dragline Swing Automation Shovel/Excavator Automation Rockbreaker/Shiploader
LHD Automation (Cater...
A world in which humans and autonomous systems
are able to seamlessly, reliably and safely collaborate.
ASL Vision 2005
45...
ASL Research Today
Robotics
Persistent
Bespoke
Awareness
Reality
Capture
Reality
Display
Sensing
Pervasive
Connected
High
...
Persistent Robotics
• Autonomous Unmanned Helicopters
• Smart Skies (with Boeing)
• ResQu
• Ground Vehicles
• Hot Metal Ca...
Bespoke Robotics
1. Task Based Design
• Confined space inspection
2. Reconfigurable
• Anyleg / Anywheel
3. Extreme Locomot...
Reality Capture (Situational Awareness)
1. Lidar, Vision, Thermal
• Zebedee
• Heatwave
• Hovermap
2. Hyper spectral
3. Gas...
Reality Display (Human Machine Interface)
1. Augmented Reality
• ReMote Tele-Maintanence
2. Augmented Virtuality
• 3P Lear...
Pervasive Sensing (Monitoring and Tracking)
• Longevity
• Springbrook with Fleck
• Scale
• Digital Homestead
• Sense-T wit...
Connected Sensing (Internet of Things)
1. Sensor Data Models and Management
• SenseT / SenseDB
2. Interoperability
• OpenI...
Problem 1: The Mixed Traffic Problem
• 20 years ago automation
was driven by safety
• Lead to the automation of
specialize...
Solution 1: Global Situational Awareness
1. Technology that allows humans and robots
to interact safety and productively
2...
Robotics in the IoT Landscape
Potential Solutions
Problem 2: Interoperability
• 10 years ago, investment was driven by
labor force availability and productivity
• We were a...
Unified User Interface
3DCMM
Communications Infrastructure
Digital Model
Exploration
MinePlanning
Drilling
Excavation
Blas...
Industry Engagement
Software systems in Manufacturing
I Manufacturing – “A Glass Half Full”
ISA-95
Trends in Future Manufacturing
•New Workflows
•New Business
Models
•New Enterprises
•New Processes
•New Materials
•New Pro...
Manufacturing Terminology
Industrial
Internet (GE)
Industry 4.0
(Germany)
Network
Enabled
Manufacturing
(Boeing)
Smart
Man...
Trends in Manufacturing
Traditional
Automation
Rigid
Bulky
Expensive
Unsafe
Lightweight
Technology
Flexible
Lightweight
Af...
Lightweight
Technologies
HMI
ICT
Perception
Robotics
Mobile
Tele-presence
Lightweight
Robotics
Mirror
Worlding
Social
Netw...
Virtual Factory – Executive Layer
• Simulation of factory and the world around it.
• Interactive and collaborative user in...
Connected Architecture
CRM
PLM
SCM
ERP
MES
SCADA
CRM
PLM
SCM
ERP
MES
SCADA
CRM
PLM
SCM
ERP
MES
SCADA
subcontracting process
Engineer at company A defines
product specification in in-
house ERP A
raises purchase order and
ge...
iManufacturing Initiative
26 |
Presentation title | Presenter name27 |
Pegasus
• Bespoke solution are not scalable.
• Previously required installation of software on-site.
• Too expensive for S...
Human
Services
Client
data
Supply chain
events
Supplier
data
ICT Automation,
IoT, Robotics
Factory
events
Factory
data
End...
Guardian Angel
• Monitors environment
• Tracks people and assets
• Make work safer for humans
Guardian Mentor
• Worker aug...
Guardian – Mobile Industrial Internet
CSIRO – Digital Productivity Flagship
Objectives.
• Enhances the productivity and safety of the
industrial workplace. This is achieved with the
development and ...
Guardian Facilities at QCAT
Guardian
Managed
Work Zone
Manufacturing
Work Zone
Situational
Wall
Remote
Management
Operations in a dynamic industrial environment
• Seamless Connections / Exchange between
• Workshop (Tactical) & The Contr...
Thankyou
35 |
iManufacturing
History
Presentation title | Presenter name37 |
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2016 Autonomous Systems Lab

Presentation given to CRCMining Automation Technical Committee

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2016 Autonomous Systems Lab

  1. 1. www.csiro.au Autonomous Systems Lab CRC Meeting Meeting June 2016
  2. 2. ASL History (1995-2010) Dragline Swing Automation Shovel/Excavator Automation Rockbreaker/Shiploader LHD Automation (Caterpillar) Longwall Automation (CESRE)Explosive Loading (ORICA)
  3. 3. A world in which humans and autonomous systems are able to seamlessly, reliably and safely collaborate. ASL Vision 2005 45 40 15
  4. 4. ASL Research Today Robotics Persistent Bespoke Awareness Reality Capture Reality Display Sensing Pervasive Connected High Performance Workplace Autonomous Exploration & Science
  5. 5. Persistent Robotics • Autonomous Unmanned Helicopters • Smart Skies (with Boeing) • ResQu • Ground Vehicles • Hot Metal Carrier (with RioTinto) • Autonomous Science Rover Information Driven Manufacturing • Dependable hardware and software, • Precise control, robust state estimation • Obstacle avoidance, autonomous planning, • Health monitoring, reasoning and decision making • Power and energy management • Advanced Engineering
  6. 6. Bespoke Robotics 1. Task Based Design • Confined space inspection 2. Reconfigurable • Anyleg / Anywheel 3. Extreme Locomotion • Hexapod platform Information Driven Manufacturing • Real-time proprioceptive • Machine learning • Energetics based gait switching • Stabilisation in unstructured terrain • Ground cover classification • Rapid Prototyping to high TRL
  7. 7. Reality Capture (Situational Awareness) 1. Lidar, Vision, Thermal • Zebedee • Heatwave • Hovermap 2. Hyper spectral 3. Gas and RF • Plant Mapping Information Driven Manufacturing • Simultaneous Localisation and Mapping (SLAM) • Data Fusion and Registration • Compressive Sensing • Design lead engineering (Product development)
  8. 8. Reality Display (Human Machine Interface) 1. Augmented Reality • ReMote Tele-Maintanence 2. Augmented Virtuality • 3P Learning - Endeavour tour 3. Panomersive Video streaming • National Museum Tele-presense Information Driven Manufacturing • Wearable technology • Immersive technology • Human Factors / Ethics
  9. 9. Pervasive Sensing (Monitoring and Tracking) • Longevity • Springbrook with Fleck • Scale • Digital Homestead • Sense-T with PACP • Mobility • Batmon with Camazotz • Passive • People Tracking • Smart Homes Information Driven Manufacturing • Delay tolerant networking • Energy Management, Radio Diversity • Mobile Analytics, distributed processing • Spatiotemporal Modelling
  10. 10. Connected Sensing (Internet of Things) 1. Sensor Data Models and Management • SenseT / SenseDB 2. Interoperability • OpenIoT / BIoTope 3. Security and Trust • AU2EU 4. Collaboration • Industrial Internet Consortium Information Driven Manufacturing
  11. 11. Problem 1: The Mixed Traffic Problem • 20 years ago automation was driven by safety • Lead to the automation of specialized vehicles • Equal performance of a human driver • Forced to isolate the machines • This impacted the existing workflow (Maintenance, exploration) Increase Safety Change in Workflow Loss in Productivity
  12. 12. Solution 1: Global Situational Awareness 1. Technology that allows humans and robots to interact safety and productively 2. To do this we need to provide fail-safe people detection 3. No such technology exists 4. Put intelligence into the environment rather than the machine 5. Detect absence rather than presence 6. Autonomous safety.
  13. 13. Robotics in the IoT Landscape
  14. 14. Potential Solutions
  15. 15. Problem 2: Interoperability • 10 years ago, investment was driven by labor force availability and productivity • We were able to automate a rock-breaker, but it does not exceed the performance of the human operator • Productivity gains can only be realized if we integrate the upstream and downstream processes Fleet Management Rock Breaker Processing
  16. 16. Unified User Interface 3DCMM Communications Infrastructure Digital Model Exploration MinePlanning Drilling Excavation Blasting Haulage RockBreaking Processing Train ShipLoading Process Surveying Analysis Infrastructure Maintenance LogisticsSupport Framework of Standards Remote Operations Solution 2: Common Mine Model Vendors
  17. 17. Industry Engagement
  18. 18. Software systems in Manufacturing I Manufacturing – “A Glass Half Full” ISA-95
  19. 19. Trends in Future Manufacturing •New Workflows •New Business Models •New Enterprises •New Processes •New Materials •New Production •Mass Customization •Maximize Flexibility •Mass Production •Minimize Waste Lean Agile SmartAdvanced Great Expectations Digital Immersion MoreFrom Less
  20. 20. Manufacturing Terminology Industrial Internet (GE) Industry 4.0 (Germany) Network Enabled Manufacturing (Boeing) Smart Manufacturing (Rockwell)
  21. 21. Trends in Manufacturing Traditional Automation Rigid Bulky Expensive Unsafe Lightweight Technology Flexible Lightweight Affordable Human-centered Easy-to-use
  22. 22. Lightweight Technologies HMI ICT Perception Robotics Mobile Tele-presence Lightweight Robotics Mirror Worlding Social Networking Sensing in Unstructured Dynamic Environments Field Robotics Dependability Robustness Military/Mining Collective Intelligence Cloud ServicesBig Data Internetofthings Cheap sensor, processors and actuation Consumer Devices Immersive Interfaces Gaming AdditiveManufacturing Intuitive interfaces Mobile Devices Ubiquitous Connectivity Locationbasedservice Technology/Trendsto DevelopAssistiveRobotics
  23. 23. Virtual Factory – Executive Layer • Simulation of factory and the world around it. • Interactive and collaborative user interface • Decision support (simulated scenarios) Digital Factory – Strategic Layer • Live (Real-time) digital model of factory • Fully Integrated across the production cycle - Data Fusion • Optimization of production based upon demands Smart Factory – Tactical Layer • Smarter sensing and actuation around each process • Reconfigurable / Adaptive / Responsive processes • Improved situational awareness - QA/QC External Forces Demands Demands Demands Data Intelligence Layered Architecture CRM Customer Relationship Management PLM Product LifeCycle Management SCM Supply Chain Management ERP Enterprise Resource Planning MES Manufacturing Execution System SCADA
  24. 24. Connected Architecture CRM PLM SCM ERP MES SCADA CRM PLM SCM ERP MES SCADA CRM PLM SCM ERP MES SCADA
  25. 25. subcontracting process Engineer at company A defines product specification in in- house ERP A raises purchase order and generates further specifications in ERP A Engineer at company B retypes specification in in- house ERP B ERP A ERP B Engineer at company B retypes specification in in- house ERP C ERP C Status Quo
  26. 26. iManufacturing Initiative 26 |
  27. 27. Presentation title | Presenter name27 |
  28. 28. Pegasus • Bespoke solution are not scalable. • Previously required installation of software on-site. • Too expensive for SME. • The cloud can provide off-load the software • But still have a problem with inter-connections. Solution • Objects with relationships to other objects across strata exist. • Management by Semantic Web • Deliver information flows to the supply chain to allow secure, fit for purpose, interoperability across various platforms and processes
  29. 29. Human Services Client data Supply chain events Supplier data ICT Automation, IoT, Robotics Factory events Factory data End to end data Material, Products and Processes Product data Process data Supply chain management Assistive technologies Design, customisation Direction of data flow Nodes Sustainable manufacturingRelationship Management Informatics Workforce skills What are the information flows At the nodes, we need Informatics
  30. 30. Guardian Angel • Monitors environment • Tracks people and assets • Make work safer for humans Guardian Mentor • Worker augmentation • Provides skills and training • Make work easier for human Guardian Helper • Provides physical assistance • Robotic co-workers • Works with humans Guardian Worker • Provides remote assistance • Tele-operated robotics • Work for humans High Performance Workplace Augmentation • Collaboration • Interface • Observatory Assistive • Navigation • Manipulation • Cooperation Awareness • Monitoring • Modeling • Management Social Science Human Factors Informatics Communications Sensors Robotics Engineering Investment Innovation Impact Worker Centric: Increase productivity, safety and adaptability of future workforce through virtual and assistive automation technologies • Low-cost, from purchasing price and installation costs, to reprogramming and maintenance costs • Easy to use, without the need of technical expertise to deploy, operate and reconfigure the systems • Support mass customisation, ideal for small runs of multiple types of products
  31. 31. Guardian – Mobile Industrial Internet CSIRO – Digital Productivity Flagship
  32. 32. Objectives. • Enhances the productivity and safety of the industrial workplace. This is achieved with the development and integration of a number of situational awareness, decision support and assistive technologies. Key Research Challenges • Large scale Integration across heterogeneous systems • Managing and predicting risk Partners • Boeing, GE • Woodside, Chevron • IIC, ROS Industrial • IMCRC, ASC Guardian Facility: High Performance Workplace
  33. 33. Guardian Facilities at QCAT Guardian Managed Work Zone Manufacturing Work Zone Situational Wall Remote Management
  34. 34. Operations in a dynamic industrial environment • Seamless Connections / Exchange between • Workshop (Tactical) & The Control Room (Executive)
  35. 35. Thankyou 35 |
  36. 36. iManufacturing
  37. 37. History Presentation title | Presenter name37 |

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