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![Autonomous: The ability to make one’s own decisions.
Automatic: A system that responds to environmental input with pre-programmed responses.
Semi-autonomous: A system capable of making [some] decisions based on
context, and relying on human intervention or override for others.
A single system may have multiple modes.
AUTONOMOUS VS AUTOMATIC
Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.](https://image.slidesharecdn.com/bowlessmartdata122017autonomousapps-171219051443/75/Smart-Data-Webinar-The-Road-to-Autonomous-Applications-4-2048.jpg)
![BigDog is a dynamically stable
quadruped robot created in 2005 by
Boston Dynamics with Foster-Miller, the
NASA Jet Propulsion Laboratory, and the
Harvard University Concord Field
Station.[1] It was funded by DARPA, but
the project was shelved after the BigDog
was deemed too loud for combat.[2]
BigDog. (2016, August 19). In Wikipedia, The Free Encyclopedia. Retrieved 19:15, September 7, 2016, from https://en.wikipedia.org/w/index.php?title=BigDog&oldid=735286400
MQ-9 Reaper
Unmanned Areal Vehicle (UAV/Drone)
SOMETIMES, A LITTLE AUTONOMY GOES A LONG WAY.
Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.](https://image.slidesharecdn.com/bowlessmartdata122017autonomousapps-171219051443/75/Smart-Data-Webinar-The-Road-to-Autonomous-Applications-13-2048.jpg)
![Autonomous: The ability to make one’s own decisions.
Automatic: A system that responds to environmental input with pre-programmed responses.
Semi-autonomous: A system capable of making [some] decisions based on
context, and relying on human intervention or override for others.
A single system may have multiple modes.
AUTONOMOUS VS AUTOMATIC
Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.](https://crownmelresort.com/image.slidesharecdn.com/bowlessmartdata122017autonomousapps-171219051443/75/Smart-Data-Webinar-The-Road-to-Autonomous-Applications-4-2048.jpg)
![BigDog is a dynamically stable
quadruped robot created in 2005 by
Boston Dynamics with Foster-Miller, the
NASA Jet Propulsion Laboratory, and the
Harvard University Concord Field
Station.[1] It was funded by DARPA, but
the project was shelved after the BigDog
was deemed too loud for combat.[2]
BigDog. (2016, August 19). In Wikipedia, The Free Encyclopedia. Retrieved 19:15, September 7, 2016, from https://en.wikipedia.org/w/index.php?title=BigDog&oldid=735286400
MQ-9 Reaper
Unmanned Areal Vehicle (UAV/Drone)
SOMETIMES, A LITTLE AUTONOMY GOES A LONG WAY.
Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.](https://crownmelresort.com/image.slidesharecdn.com/bowlessmartdata122017autonomousapps-171219051443/75/Smart-Data-Webinar-The-Road-to-Autonomous-Applications-13-2048.jpg)
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Smart Data Webinar: The Road to Autonomous Applications
The document discusses the concept of autonomous applications, defining autonomy and contrasting it with automation and semi-autonomous systems. It also explores the enabling technologies behind autonomous systems, such as machine learning and Internet of Things (IoT). Additionally, it addresses the importance of trust and decision-making processes in the development and deployment of these technologies.
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Smart Data Webinar: The Road to Autonomous Applications
- 1. The Road toAutonomous Applications Adrian Bowles, PhD Founder, STORM Insights, Inc. Lead Analyst, AI, Aragon Research info@storminsights.com DECEMBER 14, 2017
- 2. • Overview andOpportunities • Enabling Technologies • Autonomous Application Categories • A Matter of Trust Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved. AGENDA
- 3. ROBOCOP IS COOL,BUT…ROOMBA IS REAL Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 4. Autonomous: The abilityto make one’s own decisions. Automatic: A system that responds to environmental input with pre-programmed responses. Semi-autonomous: A system capable of making [some] decisions based on context, and relying on human intervention or override for others. A single system may have multiple modes. AUTONOMOUS VS AUTOMATIC Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 5. OrientAct Observe Decide World Model Boyd’s Loop John Boyd(1927-1997) FORMALIZING THE DECISION-MAKING PROCESS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 6. Copyright (c) 2017by STORM Insights Inc. All Rights Reserved. Autonomous Intelligent AUTONOMY VS INTELLIGENCE Abstract Generalize Learn Understand ReasonIndependent
- 7. Copyright (c) 2017by STORM Insights Inc. All Rights Reserved. Listen Look Touch Smell Taste Your System Learn Model Reason Understand INTERACTING WITH THE OUTSIDE WORLD
- 8. Autonomous Systems Robots Semi-Autonomous Robot/automaton/android Machine that performsone or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. Autonomous Systems ROBOTS VS AUTONOMOUS SYSTEMS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 9. Autonomous Systems Consumer Enterprise Robots Home CleaningEldercare Semi-Autonomous Automobiles Info Retrieval Autonomous Systems Robot/automaton/android Machine that performsone or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. ROBOTS VS AUTONOMOUS SYSTEMS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 10. Autonomous Systems Consumer Public Sector Robots Home CleaningEldercare Semi-Autonomous UAVs Automobiles Buses Trucks Multi- peds Info Retrieval Autonomous Systems Robot/automaton/android Machinethat performs one or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. ROBOTS VS AUTONOMOUS SYSTEMS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 11. Autonomous Systems Consumer Public Sector Enterprise Robots Home CleaningEldercare Manufacturing Semi-Autonomous UAVs Automobiles Buses Trucks Inventory Mgmt Multi- peds Info Retrieval CognitiveCommerce Apps Network Monitoring Autonomous Systems Robot/automaton/android hinethat performs one or more physical tasks determined by preprogrammed instructions or autonomous reasoning. ROBOTS VS AUTONOMOUS SYSTEMS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 12. Low High AutonomyAutomatic/ Reflexive Autonomous Independent Interdependent Integration WorldModel ComprehensiveNone CONTROL & COMPLEXITY Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 13. BigDog is adynamically stable quadruped robot created in 2005 by Boston Dynamics with Foster-Miller, the NASA Jet Propulsion Laboratory, and the Harvard University Concord Field Station.[1] It was funded by DARPA, but the project was shelved after the BigDog was deemed too loud for combat.[2] BigDog. (2016, August 19). In Wikipedia, The Free Encyclopedia. Retrieved 19:15, September 7, 2016, from https://en.wikipedia.org/w/index.php?title=BigDog&oldid=735286400 MQ-9 Reaper Unmanned Areal Vehicle (UAV/Drone) SOMETIMES, A LITTLE AUTONOMY GOES A LONG WAY. Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 14. WHEN DO WENEED HUMANS IN THE LOOP? Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 15. SAE AUTONOMOUS VEHICLECLASSIFICATION Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 16. 9/7/2016 homeai.info LEVEL 4 IN2021? Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 17. Google Patents EmergencyVehicle Detection for Autonomous Cars 9/6/2016 INTEROPERABILITY WITH THE EXISTING INFRASTRUCTURE IS CRITICAL Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 18. Autonomous Systems ArtificialGeneral Intelligence Machine Learning Cognitive ComputingThe Internet of Things Understand Reason Learn Domain-independent problem solving Connectivity Control AUTONOMOUS SYSTEMS IN CONTEXT Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved. Enabling Technologies IoT……Sensors, Intelligence at the Edge… Vision Technologies… LIDAR
- 19. Supervised Unsupervised Deep General Reinforcement Learning byexample, using training data. Strategies based on performance feedback. Discovers patterns based on experience with data. Biologically-inspired ML approach. Leverages simple processing units - analogous to neurosynaptic elements - organized in layers that collaborate to solve complex problems. Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved. MACHINE LEARNING FOR AUTONOMOUS APPLICATIONS
- 20. Copyright (c) 2017by STORM Insights Inc. All Rights Reserved. CONTRASTING AI APPROACHES USED FOR INTELLIGENT AUTONOMOUS SYSTEMS Knowledge-Centric Data-Centric/ Deep Learning Representation Learning Use ML to discover the representation Lots of Up-Front Effort Developing the Algorithms or Rules Should have Complete Transparency Identify the Categories Let the Data Drive the Process Can Become a Black Box ATTRIBUTES APPROACH Use ML to discover the mappingUse experts to create the representation and mapping
- 21. Copyright (c) 2017by STORM Insights Inc. All Rights Reserved. HOW TO DELEGATE AUTONOMY ALGORITHMS & RULES DATA
- 22. AutoSys Decision-making… Does it plan? Generativeplanning? Use feedback? Coordinate? Can it: move? in the air? on land? on/under water? see? hear? smell? taste? feel? learn? CLASSIFYING AUTONOMOUS SYSTEMS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved. Segmentaton
- 23. Train Copyright (c) 2017by STORM Insights Inc. All Rights Reserved. A MATTER OF TRUST Verify Validate Delegate Evaluate TRUST DecisionsPreparation
- 24. Copyright (c) 2017by STORM Insights Inc. All Rights reserved. PROGRESS?
- 25. Alex Coppel /Herald Sun/Getty Images Fernando Alonso Walks Away from a 46G Impact Will F1 become fully autonomous? Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved. FROM INFORM/ADVISE TO AUTOMATE
- 26. DESIGN CONSTRAINTS -DECISIONS UNDER DURESS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 27. Copyright (c) 2017by STORM Insights Inc. All Rights Reserved. DESIGN DECISIONS/CONSTRAINTS Independent vs Collaborative Execution Constraints Augment vs Automate
- 28. OrientAct Observe Decide Small Model OrientAct Observe Decide Small Model Feedback Sensor Sensor Effector Effector COLLABORATIVE AUTONOMY -MULTIPLE SENSORS & EFFECTORS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 29. •A robot maynot injure a human being or, through inaction, allow a human being to come to harm. •A robot must obey orders given it by human beings except where such orders would conflict with the First Law. •A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. “Handbook of Robotics, 56th Edition, 2058AD” in Runaround, a 1942 short story ISAAC ASIMOV - THREE LAWS OF ROBOTICS Copyright (c) 2017 by STORM Insights Inc. All Rights Reserved.
- 30. adrian@storminsights.com Twitter @ajbowles Skype ajbowles Ifyou would like to connect on LinkedIn, please let me know that you that you registered for the Smart Data webinar series. KEEP IN TOUCH 2018 SmartData Webinar Dates & Topics January 11 AI At The Edge: Pushing Intelligence to Fog Computing Nodes February 8 A Pragmatic AI Maturity Model: Choosing the Right AI Technologies Based on Application Requirements and User Attributes March 8 Machine Learning Update: An Overview of Technology Maturity and Product Vendors