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![Robust, Secure, Dependable Systems
R.G. Dromey30
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Fig. 14. Microwave Oven DBT with oven component behaviour highlighted
Specification, analysis, simulation and testing for assuring system
dependability](https://image.slidesharecdn.com/austradev5-150129213329-conversion-gate01/85/Autonomous-Systems-Program-92-320.jpg)
Uploaded byElliot Duff
Autonomous Systems Program
This document provides an overview of CSIRO, the Commonwealth Scientific and Industrial Research Organisation of Australia. Some key points: - CSIRO has over 5000 staff located across 57 sites in Australia, with an annual budget of over $1 billion. - It undertakes $500 million of externally funded research each year and is ranked in the top 1% of global research institutions in 14 fields and top 0.1% in 4 fields. - CSIRO has a broad research portfolio spanning areas like health, manufacturing, mining, environment and more. Some notable past inventions include extended wear contact lenses, polymer banknotes, and flu treatment Relenza. - Internationally, CSIRO collabor
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Autonomous Systems Program
- 1. Austrade - AutonomousSystems Elliot Duff – Research Director
- 2. CSIRO - Snapshot 62%ofour people hold university degrees 2000 doctorates 500 masters CSIRO undertakes $~500M of externally funded R&D each year Top 1% of global research institutions in 14 of 22 research fields Top 0.1%in 4 research fields Highest number of citations per scientist in Australia Darwin Alice Springs Bakers Hill Atherton Townsville 2 sites Rockhampton Toowoomba Gatton Myall ValeNarrabri Mopra Parkes Griffith Belmont Geelong Hobart Sandy Bay Werribee Wodonga Newcastle Armidale 2 sites Perth 3 sites Adelaide 2 sites Brisbane 6 sites Sydney 5 sites Canberra 7 sites People = 5000+ Locations = 57 Budget = $1B+ Murchison Cairns Melbourne 6 sites Infra = $3.5bn Patents = 3000+ Partners = 1300+
- 3. Our track record:top inventions 4. EXTENDED WEAR CONTACTS 2. POLYMER BANKNOTES 3. RELENZA FLU TREATMENT 1. FAST WLAN Wireless Local Area Network 5. AEROGARD 6. TOTAL WELLBEING DIET 7. RAFT POLYMERISATION 8. BARLEYMAX 9. SELF TWISTING YARN 10. SOFTLY WASHING LIQUID
- 4. China Australia Alliancefor New Energy Vehicle Innovation Global connections: impact partnerships 80+ countries
- 5.
- 6. We are inthe world’s Top 10 institutions for 2 research fields. We are the only Aussie R&D organisation in the world’s Top 10. We have 14 research fields in the top 1% of global research organisations. CSIRO global positioning 0 5 10 15 20 25 30 35 40 45 1 2 3 4 5 6 7 8 9 10 11 12 13 NO.OFINSTITUTIONS NO. OF FIELDS IN TOP 10 GLOBALLY CSIRO CNRS Cornell Georgia Inst Tech INRA NASA Nat U Singapore NCI NIAID Princeton U Toronto USEPA USGS U Illinois U Tokyo USDA Wageningen U Columbia UC San Diego U Michigan U Wisconsin Yale U Penns UCSF Johns Hopkins UCLA MIT U Washington Chinese Acad Sci UC Berkeley Harvar d Max Planck Standford CSIC U Carolina UC Davis Oxford Based on total citations. Source: Thomson-Reuters/ISI Essential Science Indicators
- 7. World-class science and technology CSIRO- the roles we play Trusted advisor to government Leveraging Australia’s Innovation System Innovation supporting the creation of new businesses Helping existing companies transition to the future 1 2 3 4 5
- 8. What we do 8| Our Mission We deliver innovative solutions for industry, society and the environment through great science. Our Vision Our science is used to make a profound and positive impact for the future of Australia and humanity. Image industry Image environment
- 9. How we doit 9 |
- 10. What differentiates CSIRO? 10| We provide scientific responses to major national and global challenges We take a collaborative approach to scientific research and delivery Our research Flagships promote radical innovation to reshape industries Large scale Mission directedMultidisciplinary
- 11. The Boeing example 22year partnership Grown from research supplier through research collaborator to strategic research partner. Longevity of partnership means senior management from both partners have previously been involved in Alliance projects. Tiered Governance I. Relationship Management by a joint high level Steering Committee. II. Account Management by CSIRO Senior Technical Advisor within Boeing. III. Project Management reps from each organisation on each project. Award winning partnership 10 May 2011 – CSIRO awarded Boeing Supplier of the Year & Leader’s Choice Award for Academia, 2010. One of 16 awards selected from 17500 global suppliers. 12 October 2011 – Topcoat Reactivation team consisting of CSIRO and Boeing team members received a CSIRO Research Achievement Medal (innovative, commercially viable technology for aircraft coatings now on ~1000 aircraft).
- 12.
- 13. Motivation Productivity isn’t everything,but in the long run it is almost everything Paul Krugman, 1991 Professor Princeton University, Nobel Prize in Economics 2008 The digital economy is the global network of economic and social activities that are enabled by platforms such as the internet, mobile and sensor networks. Australia's Digital Economy: Future Directions.
- 14. Threat posed byAustralia’s declining productivity Productivity is the prime determinant in the long run of a nation’s standard of living, for it is the root cause of per capita national income Michael Porter, 1991, The Competitive Advantage of Nations According to the Grattan Institute report Australia’s Productivity Challenge, Australia’s economic prospects beyond the end of the current ‘resources boom’ will deteriorate significantly (as they did in the 1970s and 1980s) if the decline in our productivity growth performance is not reversed.
- 15. Designing for Data Generation& Capture Data Generation, Communications & Capture Integration of Data & Modelling Implementation Monitoring & evaluation Storage, Discovery, Communications, Access Decision Making Under Uncertainty Gaining Insights & Understanding Information & Decision Making Value Chain
- 16. Creating Impact throughPartnerships
- 17. DIGITAL PRODUCTIVITY FLAGSHIP AutonomousSystems Program
- 18. Vision: A worldin which humans and autonomous systems are able to seamlessly, reliably and safely collaborate. Autonomous Systems Program 45 40 15
- 19. Robot navigation Dynamic, difficultenvironments
- 20. Remote Collaboration Robots, visionand broadband
- 21.
- 22. Zebedee Mobile and handheld3D mapping Revolutionizes the way 3D mapping can be achieved by cutting acquisition time from hours and days to minutes Uses a technique from robotics known as Simultaneous Localisation and Mapping (SLAM) and a simple spring mechanism Fort Lytton (Brisbane)
- 23. CSIRO Collaboration Platform Real-timeinteraction and collaboration between people, information and instruments Commercialised in Aug 2013 with an Australian SME – Corporate Initiatives Installed and in use around 9 sites around Australia, including CSIRO sites, Queensland DAFF and Federal Dept of Agriculture
- 24. Sense-T Architecture Sensor Networksand Spatial Data Management for Sense-T R&D Provide Sensor Network Data Management infrastructure for Sense-T R&D Program Strategic Sensor Network Architecture Development. Mobile Sensing Middleware
- 25. Metadata and Interoperability CognitiveComputing Facilitate discovery and reuse of sensor data through metadata management and community-based data curation Uses Semantic Web technologies and workflow systems to annotate data and automate spatial-temporal modeling Team ‘hero image’ here
- 26. Metadata and Interoperability CognitiveComputing Semantic analytics of graph data to better understand complex processes and systems Used to analyze workflow provenance traces to discover patterns and compare similarities among various process interactions
- 27. Pervasive Computing Team SensorSystems Realizing pervasive computing through small, inexpensive, networked sensing devices embedded in our environments Our capabilities span development and deployment of distributed systems, information processing, and machine learning Real-time Sensing Control Comfort Sense PC Application Advanced( HVAC(( Control( Savings,( Efficiency( Thermal( Comfort( HVAC(Zone( Occupancy( Temperature, PIR, Light, Appliances User Behavior Personal Climate Dome CS Surveys Processing
- 28. Engineering Team Robotics Group Designsand delivers the underpinning electrical, electronic, mechanical and computer systems Multi-skilled engineers who can design and create almost anything!
- 29.
- 30. From Perception toAction, From Near to Far, From Large to Small Robots going to places and doing tasks that are dangerous, challenging, exhausting or boring for humans Robots augmenting the capabilities and productivity of humans Humans and robots working collaboratively and safely
- 31. Ground, Aerial andAquatic Robots Planning and control algorithms for mobile robots, including ground, aerial, surface and underwater. Experience spans from low-level control to high-level planning and decision making for increased robot autonomy.
- 32. Robotics Domains Real-timePerception Human Interaction Industrial •Welding Arms •Conveyors Military •Drones •Inspection Resources •Mining/ Agriculture / Oil & Gas •Haulage Infrastructure •Transport •Logistics / Warehousing Service •Medical •Household Outdoor (Field Robotics) Real-time Perception of Dynamic Unstructured Environments Indoor (Agile Robotics) Real-time Perception of Dynamic Unstructured Environments
- 33. Convergingtrendsleadingto UbiquitousRobotics Field Robotics Dependability Robustness Military/mining Sensing in dynamic unstructured environments Collective intelligence Cloud Services Bigdata Internetofthings Cheap sensor, processors and actuation Consumer Devices Immersive interfaces Gaming AdditiveManufacturing Mobile Devices Ubiquitous connectivity Locationbasedservice Intuitive interfaces Mobile Tele-presence Lightweight Robotics Mirror Worlding Social Networking HMI (Human-machine interfaces) ICT (Information and communication technologies) Perception Robotics Ubiquitous Robots
- 34. Significant Developments -Software 1. ROS – open source Robot Operating Systems 2. OpenCV – Open Source Computer Vision Libary 3. PLC – Open Source Point Cloud Library
- 35. Significant Developments -Hardware 1. Range Sensors (LIDAR & Structured Light) 2. Embedded Processing and Communications
- 36. Significant Developments -Challenges 1. DARPA – Grand Challenge 2. DARPA – Robotics Challenge
- 37.
- 38. Autonomy is aSpectrum Mixed-RealityTele-Robotic Robot Tele-Operation Machine Autonomy Shared Autonomy Autonomy Manual User Interface Intelligent Behavior Extent of Knowledge Communications Latency Global LocalReactive Proactive Augmented Reality Augmented Virtuality Supervisory Assistive Real Virtual
- 39. Automation Does NotMean Autonomy Digging Swing Dump Walk Maintenance Integration Autonomous Manual DigAssist DigToPlan
- 40. System of Systems(SoS) A person can be part of an Autonomous System of Systems
- 41. Potential Solutions toAutonomous Systems
- 42. Autonomous Aquatic Vehicles AUTONOMOUSSYSTEMS PROGRAM
- 43. Starbug - AUV Stereocameras Batteries Payload section Main thrusters Flat thrusters Specifications Mass: 26 kg+ Length: 1.2 m+ Endurance: 3 – 5 hours 19 – 36 hours Range 4 – 7 km 35 – 55 km Max depth: 100 m
- 44. Starbug: Autonomous UnderwaterSurveys Dunbabin, M., Usher K. and Corke, P. (2005). Visual motion estimation for an autonomous underwater reef monitoring robot. In The 5th International Conference on Field & Service Robotics (FSR) 2005, Port Douglas Australia. pp.57-68.
- 45. Automated marine pestpopulation monitoring Smith, D., and Dunbabin, M. (2007). Automated counting of the Northern Pacific Sea Star in the Derwent using shape recognition. In Proc. Digital Image Computing Techniques & Applications (DICTA07), pp. 500-507, Adelaide Clement, R., Dunbabin, M., and Wyeth, G. (2005). Toward robost image detection of Crown-of- Thorns Starfish for autonomous population monitoring. In Proc. Australiasian Conference on Robotics & Automation (ACRA), Sydney. • Algorithms for automated classification of • Northern Pacific Sea Star (Asterias amurenis) • Crown-of-thorns Starfish (Acanthaster planci)
- 46. Autonomous Aerial Vehicle AUTONOMOUSSYSTEMS PROGRAM
- 47. Autonomous Systems Program| Not for Distribution: for Internal CSIRO/Chevron discussions only
- 48. Autonomous Flight –No human intervention
- 49. (Resilient Queensland) 2 year,AUD 7M joint project with QUT, BR&TA, Insitu Pacific and the QLD state government CSIRO led the Biosecurity Stream – Autonomous rotorcraft surveys for Miconia weed eradication – Replace manned helicopter flights to identify miconia growing in rainforest environments. – Develop a TRL 6 solution
- 50. Low-Altitude Autonomous Survey UnmannedAerial System (UAS) Autonomous (pilotless) unmanned helicopter Enables high spatial resolution mapping and safe low-altitude surveys in difficult terrain beyond visual range Miconia causing landslides in Tahiti (Photo: Peter Thomas)
- 52. Autonomous Ground Vehicle AUTONOMOUSSYSTEMS PROGRAM
- 53. Seeker Field SurveyRover Science payload includes: • Downwelling and upwelling hyperspectral point imagers • Hyperspectral line imager • Scanning lidar • RGB imager • Environmental sensors
- 55. Autonomous Survey: Lidar3D with RGB Overlay
- 56. Mining Automation Dragline SwingAutomation Shovel Automation Excavator Traffic Management LHD Automation (Caterpillar) Longwall Automation (CESRE)Explosive Loading (ORICA)
- 57.
- 58. LIDAR - PrimarySensor for Field Robotics Dragline Terrain Mapping Haul Truck Scanning Explosive Loading Excavator Bucket Tracking Truck and Shovel Mapping Airborne Mapping
- 59. Large Scale MobileMapping Motion correction with accurate & precise sensors Manual Survey LIDAR DTM Mobile Mapping Real-time SLAM with CPU-GPU Speeds Real-time DTM Robotic Perception Conventional Approach Our Approach
- 60. Mapping of Roads Mappingof Industrial Compound 2D/3D Simultaneous Localisation and Mapping (SLAM) Spinning LiDAR on moving vehicle After Scan Matching After Place Recognition Together: Globally Consistent Trajectory and Map Localization Mapping Moving Object Tracking Change Detection Data Association Robust Optimization
- 61. LIDAR: Primary Sensorfor Robotics
- 62. High-end hardware Heavy, expensive Non-intuitive Days/week of processing time Mobile, handheld Affordable hardware Intuitive Realtime software processing Reducing Barrier to Entry: Mobile Mapping Traditional solutions: CSIRO solution:
- 63. Zebedee Lidar SLAMMapping
- 64. World Forum -Hague
- 65. Jenolan Caves Zebedee createdmap World’s oldest recorded cave system (340 million years old)
- 66.
- 67. Structure Mapping: Questacon- Canberra
- 68. Opéra Théâtre deClermont-Ferrand, France
- 69. Pisa - Piazzadel Duomo Bottom to top and around the bell tower in 20 mins
- 70. Pisa - Piazzadel Duomo Bottom to top and around the bell tower in 20 mins
- 71. Leaning Tower ofPisa & Virtual Reality
- 72.
- 73. 3D + RGB PeelIsland
- 74.
- 75. Historical Site: PeelIsland Lazaret
- 76. From 3D Datato Photos and Video All data is cross-linked during capture You click on a 3D point in the point cloud and you are presented with a list of video frames that show that point.
- 77. From Photos andVideo to 3D Data All data is cross-linked during capture You click on point in a photo and you are presented with that location in 3D in the point cloud.
- 78.
- 79. Comparing Data Collectedat Different Times Automatic change detection The system automatically highlights areas in the point cloud where changes are detected.
- 80.
- 81. HeatWave: Hand-held 3DThermography Device
- 82. Multimodal Representation: 3D+RGB+thermal 3DThermal Model3D Colour Model
- 83. 3D Change DetectionAfter and Before operations
- 84. Thermal Discrepancy 3Dmodel (before/after)
- 85. Thermal discrepancy 3Dmodel (before/after)
- 86.
- 87. How – Capabilitiesin Field Robotics Dragline Shovel LHD HMC Rock Breaker Explosive Loading Cleanup Agriculture Helicopter Submarine Ground Boat Haulage Manipulation Navigation
- 88. How – Capabilitiesin Remote Collaboration Gesture Tracking Vehicle Tracking People Tracking Face Tracking Security and Trust High Bandwidth Comms Quality of Service Haptics Augmented Reality Augmented Virtuality Panoramic Display Collaborative Environments Situational Awareness Communications Human Machine Interface
- 89. Assembly and RemoteAssistance Assisted Human Worker Autonomous Navigation Lightweight Robot Assistant Remote Instruction + Augmented Reality Remote Expert
- 90. Remote Maintenance Remote Expert VirtualCollaboration Space Local Resource ReMoTe is hands-free, wearable, and is operational in various environmental conditions and designed so operators can operate it without any training or prior skill.
- 91.
- 92. Robust, Secure, DependableSystems R.G. Dromey30 R1 BUTTON [Pushed] R1 POWER-TUBE [Energized] R1 USER ??Button-Push?? 1 OVEN [Cooking] 1 OVEN [Idle] R2 BUTTON [Pushed] R2 + USER ??Button-Push?? R1 OVEN [Cooking] R2 + OVEN ^ [Cooking] R2 OVEN [Extra-Minute] R5 + USER ??Door-Opened?? R5 @ DOOR [Open] R5 OVEN [Cooking-Stopped ] R5 + POWER-TUBE [Off] R6 + USER ??Door-Closed?? R6 DOOR [Closed] R6 LIGHT [Off] R6 + OVEN [Idle] R7 LIGHT [Off] R7 POWER-TUBE [Off] R7 BEEPER [Sounded] R7 OVEN ?? Timed-Out ?? R7 OVEN [Cooking-Finished R8 - USER ??Door-Opened?? R8 - DOOR [Open] R8 - BUTTON [Disabled] R8 - OVEN ^ [Open] R3 C+ BUTTON [Enabled ] R3 C BUTTON [Disabled ] R4 C LIGHT [ On ] R8 - LIGHT [ On ] R6 + OVEN [ Open ] Fig. 14. Microwave Oven DBT with oven component behaviour highlighted Specification, analysis, simulation and testing for assuring system dependability
- 93.
- 94. Distributed Sensing Systems BuildingSustainable Systems of Distributed Sensors Pervasive sensing for effective management of natural and built environments A decade of leading sensor network research
- 95. Continental-Scale Tracking: FlyingFoxes Autonomous Systems Program | Not for Distribution: for Internal CSIRO/Chevron discussions only Roos ng Camp Foraging Area 1 km • Flying Foxes are vectors for the Hendra virus • We developed collars (< 30g) to track flying foxes
- 96. AUTONOMOUS SYSTEMS PROGRAM DIGITALPRODUCTIVITY FLAGSHIP Guardian
- 97. Problem 1: TheMixed 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
- 98. Solution 1: GlobalSituational 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.
- 99. 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
- 100. Unified User Interface 3DCMM CommunicationsInfrastructure 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: Digital Model Vendors
- 101. Guardian Guardian Situational Awareness Global Interoperability People being part ofsolution Industry 4.0Industrial Internet IoT
- 102.
- 103. Guardian Angel • Monitorsenvironment • 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 Guardian Implementation 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 High Performance Workplace • 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
- 104. A system thatprovide increased safety to the human workers without intervention. The system automatically monitors, where people are and what they are doing. From this it is able to estimate risk and alert people and machines. Layers of safety to provide increased reliability LAMS: Guardian Angel Guardian Angel •Monitors environment •Tracks people and assets •Make work safer for humans Monitoring • Localization (WASP,SLAM) • Tracking (People Tracking HMC) • Mapping (SLAM) Modeling • Body/Facial Gestures • Scenario Simulation • Risk Assessment (Nexus) Management • Data Standards (OGC) • Communications • Fail-safety
- 105. • Increase productquality, by facilitating design tasks and increasing ability to identify errors at early stages of manufacturing processe • Increase labour productivity, by augmenting human worker’s capabilities, regardless of their age or physical conditions • Maintaining a high-skilled workforce, by improving training capacity and maximising the amount of data on their hands LAMS: Guardian Mentor Lightweight Assistive Manufacturing Solutions | NMW 2013 Guardian Mentor •Worker augmentation •Provides skills and training •Make work easier for human Collaboration • High speed communications • Tracking (People Tracking HMC) • Mapping (SLAM) Interface • Augmented Reality (Remote) • Augmented Virtuality • Projected Reality Observatory • Repository (OGC)
- 106. • Increase productivity,by combining human’s flexibility and reasoning with machine’s strength and precision • Increase flexibility and responsiveness, making manufacturers more responsive against changes in demand • Provide smart and safe automation, enjoying the benefits of automation without making any changes in processes or infrastructure LAMS: Guardian Helper Lightweight Assistive Manufacturing Solutions | NMW 2013 Guardian Helper •Provides physical assistance •Robotic co-workers •Works with humans Navigation • Global (Museum) Manipulation Cooperation
- 107. • Increase worker’ssafety, by placing them under safe conditions while performing on dangerous and challenging environments • Expand workforce’s field of action, enabling humans to execute tasks in remote places without the need of physical presence • Facilitate micro-fabrication, by extending human capacity to work in small-scale environments LAMS: Guardian Worker Lightweight Assistive Manufacturing Solutions | NMW 2013 Guardian Worker •Provides remote assistance •Tele-operated robotics •Work for humans Navigation • Reactive (MineGem) • Absolute (HMC) Manipulation • Hydraulic Arm (rock-breaker/ORICA) Autonomy • Helicopter • Submarine
- 108. Autonomous Safety Zones 1.Create 3D Model 2. Monitor environment 3. Track people and robots 4. Measure risk 5. Detects hazards 6. Alerts participant 7. Creates Safety Zone 8. Alerts bystanders 9. Monitors task 10. Alerts help if required. Person starts to change tyre! Vehicle wants to move Bystander walks into factory Guardian Angel •Monitors environment •Tracks people and assets •Make work safer for humans
- 109.
- 110. Changing Robotic Paradigms Automation InManufacturing Rigid Bulky Expensive Unsafe Lightweight Assistive Systems Flexible Lightweight Affordable Human-centered Easy-to-use
- 111. Lightweight Assistive Systems Multi-Sensorial Augmented Reality Human/Robot Collaboration AugmentedHuman Worker Robot/Robot Collaboration Worker Safety: Always Aware Tele-supervision
- 112. • New Workflows •New Business Models • New Enterprises • Cost Avoidance Strategies • New Processes • New Materials • New Production • Cost Reduction Strategies •Mass Customization •Maximize Flexibility •Focus on scope/value •Mass Production •Minimize Waste •Focus on scale/ efficiency Lean Agile Information Driven XXXX Value Capture and Creation Advanced XXXX Value Capture What is DPAS Imperative? Great expectations VirtuallyHere Morefromless DPAS BDC Emerging Plan
- 113. Robots and Humans,not Robots instead of Humans Robotic co-workers Work with humans • Increase productivity by combining human flexibility, dexterity and reasoning with robotic strength and precision • Increase flexibility and responsiveness, making manufacturers more responsive to changes in demand • Provide smart and context-relevant automation without major changes in processes or infrastructure • Increase product quality by facilitating design tasks and increasing the ability to identify errors at early stages of manufacturing processes • Increase labour productivity by augmenting the capabilities of human workers, regardless of their age or physical conditions • Maintain a high-skilled workforce by improving remote training capacity and maximising the worker’s access to relevant information • Increase worker safety by keeping humans in safe conditions while they supervise robotic systems operating in dangerous and challenging environments • Expand the worker’s field of action, enabling humans to execute tasks in remote places without the need for physical presence • Facilitate micro-fabrication by extending the worker’s ability to work in small-scale environments • Low-cost solutions, 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 •Supporting mass customisation, ideal for small runs of multiple types of products Worker augmentation systems Make work easier for humans Telesupervised robotics Work for humans
- 114. Situational Awareness andImmersive Safety Operation in mixed traffic: humans, autonomous vehicles, human- operated vehicles Situational awareness
- 115. Lightweight Robot Co-Workers Increasingthe Productivity, Safety and Skills of Human Workers Augment and help human workers, instead of replacing them by robots Increased worker retention and satisfaction Increase worker productivity, safety, retention and satisfaction New market opportunities for Australian technology companies Situational awarenessRemote expert helping human worker
- 116.
- 117.
- 118. Operations in adynamic industrial environment Seamless Connections / Exchange between Workshop (Tactical) & The Control Room (Executive)
- 119. CSIRO Business Model DigitalProductivity
- 120.
- 121. Australia’s Innovation System Australia’sinnovation system CSIRO's Business Model
- 122. How we operate •Scientific experts in relevant fields • Research centres and facilities • Equipment We look at company & industry challenges: CSIRO contributes: We create solutions and inventions • Productivity • Safety • Competitiveness We find partners to help undertake the research: • Government • Universities • Research institutes • Industry companies Minerals Down Under We work with industry companies to help them apply, and realise results CSIRO's Business Model
- 123. CSIRO works withclients on R&D projects across three horizons Horizon 1 Horizon 2 Horizon 3 Improving core products and services Application of new and disruptive technologies Developing new and disruptive technologies and applications Time • Deliverable focus • Existing knowledge • Consulting & technical services • Licensing • New knowledge to solve known problem • Proven application ready for product / service dev effort • Prototype / applications focus • New knowledge / exploration • Options focused • New to world science or applications Commercial readiness Collaborative researchTechnical consulting, licensing CSIRO's Business Model
- 124. Our three mainbusiness models MISSION DIRECTED SCIENTIFIC RESEARCH TRANSLATION (SERVICES) ACCESS TO NATIONAL FACILITIES CSIRO's Business Model
- 125. CSIRO | CraigRoy | Page 128 Engaging with the best organisations along the path from research to adoption and impact RESEARCH FUNDERS E.g. Government, ARC RESEARCH COLLABORATORS E.g. Universities, CRCs, major multinational corporations, companies DELIVERY PARTNERS E.g. Major multinational corporations, Australian companies, SMEs END USERS E.g. Industry, Govt, Consumers BASIC RESEARCH APPLIED RESEARCH EXPERIMENTAL DEVELOPMENT ADOPTION Publicly funded research projects are the foundation business model in which capability and intellectual property are developed We take a collaborative approach to research and connect with the right capability in the innovation system Where we are not best placed to implement the outcomes of our research, we work with the best existing players in the market to see it adopted In some cases we also work directly with end users to ensure lasting impact is achieved in line with our objectives CSIRO's Business Model128 |
- 126. Investment in researchwith partners Nature of research project Applied Research or Services • Application of existing knowledge Enabling Research • New knowledge generated • Defined application and impact Basic Research • New knowledge generated • Multiple or unknown applications and impact Basic Research • Breakthrough areas of research • Building strategic capabilities Client funds Co-Investment (Client : CSIRO) CSIRO funds Client funds 80 : 20 60 : 40 CSIRO funds CSIRO's Business Model
- 127. Exploitation Strategy How isthe technology going to get to market? Research the market Understand the value chain for the industry How much is it going to cost to get to market? Who is going to provide the $? Strategic partners vs venture capital (or similar) Iterate the strategy Regularly review the literature and the market dynamics Developer manufacturer distributor sales consumer CSIRO's Business Model
- 128. Industry roadmaps andlandscaping Overall industry drivers Value chain CSIRO portfolio Market value Aus (farm gate) dairy value (2009/10)=$3.4bn Aus export value(2009/10)=$4bn Global dairyproductsmarket =$337bn (CAGR 2008-2012 =24%) Aus. Dairy based product manufacturing=$10.1bn (approx) Industry drivers influenci ng R&D by value chain CSIRO Capabilit ies & Assets •Environmentalchallenges (drought, climate change, soildegradation) • Evolving biologicalthreats •Food security •Increasing input prices •Global consolidation • Land and resource shortages •Sustainable production practises •Increasing regulatoryand customer requirements •Increased globalisation and consolidation •Yield, land scarcity, competition for acres • Carbon pricing impact •Cost reduction •Changing population demographics •R&D comp AND acceleration China / India. Underminesvalue capture •Increasing complexity in farm businesses CLI SAF CPI FNS FFF CMIS CPSE/CMSE PHealth Agriculture Sustainability Water shortages Energy Nutrients prices Climate change Biosecurity Commodity price volatility Increasing farming cost structures Greenhouse gas emissions Increasing demand Healthy/functional food Aging population Slowing dairy productivity Animal welfare Sustainable production Regulatory Food safety Product differentiation Waste Milk supply Labour Changing nature of demand Resource inputs Milk production Processing capacity Markets for dairy products (local and export) Consumers Increasing private label /generic branding Retailers dominance in value chain Supermarket discounting No R&D investment/value Environmental x feed x genetics modelling Feed systems and management On-farm systems Disease diagnostics, monitoring and control Genomics/ phenomics Landscape modelling – water & land Vaccine and therapeutic products Systems modelling Product processing Tailored formulations Food safety Testing methodologies Bioactives/ ingredients Materials science Plant design Complex systems modelling Risk assessment analysis Nutrition Sensory Preclinical/clinical substantiation Gut health/fibre characterisation Supply chain modelling Consumer behaviour Genetics/physiolog y DAIRY ROADMAP CEREALS ROADMAP Industry R&D drivers Value chain Market value SEED: Global seed market ~$38bn (2011)(source: Globalindustry analyst) Globalgrain seed (wheat, rice, sorghum, corn)market =$14bn Globalwheat seed market=$250mn, Australia wheat seed market=$20mn CROPS: Global cereal(wheat, coarse grain, rice) cropsmarket ~$417.3 billion (source: Datamonitor) market value reflects consumption at producer prices Aus. Grain growing market ~$12.5billion (source: IBISWorld) Aus export value~$4bn Global cereals&bakery market =$358bn Aus. Grain-based product manufacturing=$12.3bn Recent / future major deals Priority Industry Clients Dow Agrosciences, Sygenta, Limagrain ,Bayer Consultants, Grower co- ops, Grower co-ops AWB,Grain Cor Co-op BulkHandle Lion Nathan (Kirin) Nestle, Wesfarmers/ / Coles Govt / Consumer Groups Priority funders DAFF; GRDC, AusAid, GRDC, GRDC MLA(feed) CSIRO delivery portfolios Key science Focus areas Product manufacturer Germplasm/ Gene discovery Breeder Input/ production systems Grower Storage, transport, Handler, marketer Millers Distributor/ Retailer Consumer (direct/ indirect) CPI SAF FNS / PHF FFF FFF SAF??? Genomics / Phenomics On Farm Systems Health Function BARLEYmax international royalties $9.3M GWD in wheat GRDC / Bayer $7.25M Taste & Aroma – Nestle $2.5M Nortnern Wheat Agronomy GRDC $2M Global Wheat Strategy Bayer - $58M Healthy Grains - $13.5M Coeliac 5 – GRDC $2.5M MAGIC - Bayer $3.5M BARLEYmax license to Popina $11M Overdue phos maint. GRDC $3.2M Nitrogen & Phos responses GRDC $4.7M Heat stress – GRDC $5.4M Fertiliser / soil decision support GRDC $3.5M Northern grain production crop sequencing yield GRDC $2M West / Southern Phosphorus -efficient pasture systems MLA $2.2M Soil Organics GRDC $2.3MCrown Rot suppression $3.4M Starplus – piglet effects (Pork RI) $2.7M Rust disease – 2 Blades & GRDC $7.65M secured prospect Solution Integration Solution Integration Environmentalchallenges (drought, climate change, soildegradation) Evolving biologicalthreats Food security Increasing input prices Demand for higher value end uses for wheat by dev. countries Global consolidation & new geographies(e.g.; Black Sea)Land and resource shortages Sustainable production practises Increasing regulatory & customer requirements Increased globalisation GM cereals Carbon pricing impact Cost reduction pressures Wheat genome sequenced R&D challenge / acceleration China / India. Gradual shift from commodity to product differentiation • To support impact, science and engagement planning and coordination, detailed industry roadmaps and landscapes are beginning to be developed
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- 130. IIC Testbed forMobile Autonomy
- 131. Elliot Duff, PhD ResearchDirector Autonomous Systems Program t +61 7 3327 4632 AUTONOMOUS SYSTEMS PROGRAM | DPAS | CSIRO Thank you