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Autonomous Systems, from Science Fiction to Commercial Solutions

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Achieving autonomy - the ability and authority to act on one’s own volition - is generally a sign of maturity in humans. In machines, it means that some aspect(s) of control or decision-making has been ceded by humans. As we get comfortable with delegating routine domestic tasks to home robots and prepare for a world with self-driving cars and beyond, it is important to understand the opportunities and limits for autonomous systems. Asimov’s Three Laws of Robotics was a good start for programming behavioral constraints, but the world of tomorrow will need more.
In this webinar participants will learn about the current state of autonomous systems development, and design constraints for the independent and collaborating autonomous solutions of the future.

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Autonomous Systems, from Science Fiction to Commercial Solutions

  1. 1. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Autonomous Systems from Science Fiction to Commercial Solutions Adrian Bowles, PhD Founder, STORM Insights, Inc. info@storminsights.com Image Credit: Huffington Post Canada, 7/2/2013
  2. 2. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. systems Autonomy is about Control
  3. 3. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Robocop is cool, but…Roomba is Real
  4. 4. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. (c) From Humble Beginnings
  5. 5. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. 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. self-control A single system may have multiple modes.
  6. 6. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. 9/7/2016
  7. 7. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. 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.
  8. 8. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Sometimes semi-autonomous isn’t enough
  9. 9. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. AutoSys Decision-making… Does it plan? Generative planning? Use feedback? Coordinate? Can it: move? in the air? on land? on/under water? see? hear? smell? taste? feel? learn? Classifying Autonomous Systems
  10. 10. Autonomous Systems Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Robots Semi-Autonomous Robot/automaton/android Machine that performs one or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. Autonomous Systems
  11. 11. Autonomous Systems Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Consumer Enterprise Robots Home CleaningEldercare Semi-Autonomous Automobiles Info Retrieval Robot/automaton/android Machine that performs one or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. Autonomous Systems
  12. 12. Autonomous Systems Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Consumer Public Sector Robots Home CleaningEldercare Semi-Autonomous UAVs Automobiles Buses Trucks Multi- peds Info Retrieval Robot/automaton/android Machine that performs one or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. Autonomous Systems
  13. 13. Autonomous Systems Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Consumer Public Sector Enterprise Robots Home CleaningEldercare Manufacturing Semi-Autonomous UAVs Automobiles Buses Trucks Inventory Mgmt Multi- peds Info Retrieval CognitiveCommerce Apps Robot/automaton/android Machine that performs one or more physical tasks determined by preprogrammed instructions or determined by autonomous reasoning. Network Monitoring Autonomous Systems
  14. 14. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. • A robot may not 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. Isaac Asimov - Three Laws of Robotics “Handbook of Robotics, 56th Edition, 2058AD” in Runaround, a 1942 short story
  15. 15. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  16. 16. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Google Patents Emergency Vehicle Detection for Autonomous Cars 9/6/2016
  17. 17. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Olli Self-driving 12 passenger bus Designed by Local Motors With “passenger experience” improved by IBM Watson (speech to text, natural language classifier, entity extraction, text to speech, and vehicle sensor analysis) Olli In tests now in DC
  18. 18. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. 9/7/2016 homeai.info
  19. 19. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  20. 20. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. OrientAct Observe Decide World Model Formalizing the Decision Process Boyd’s Loop John Boyd (1927-1997)
  21. 21. Decisions Under Duress Multiple sensors & Effectors
  22. 22. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. OrientAct Observe Decide Small Model Formalizing the Control Process OrientAct Observe Decide Small Model feedback Sensor Sensor Effector Effector
  23. 23. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Copyright (c) 2014 by STORM Insights, Inc. All Rights Reserved. Perception/ Language Autonomic Problem Solving Reasoning & Learning Simple: deterministic, retrieve/calculate Complex: probabalistic hypothesize, test, rank, select Creative: discover, generate Memory Stimulus/ Sensor Response/ Effector Input Class/Type Visual Text Image Aural Speech Music Cues Noise Informative Touch Temperature Tactile Texture Taste Smell Response Types Visible (to the environment) Verbal/NL Text Behavioral (system changes) Haptics/Touch/Proprioception Invisible Memory updates/ Feedback
  24. 24. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Key approaches to reinforcement Machine Learning unsupervised supervised The system is taught to detect or match patterns based on training data. Learning by example. The system learns/develops strategies based on performance feedback. An unsupervised learning system discovers patterns based on experience.
  25. 25. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Control & Complexity Low High AutonomyAutomatic/Reflexive Autonomous Independent InterdependentIntegration World Model ComprehensiveNone
  26. 26. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Autonomous Systems Artificial General Intelligence Machine Learning Cognitive ComputingThe Internet of Things Understand Reason Respond Learn Domain-independent problem solving Connectivity Control Autonomous Systems in Context
  27. 27. Ethics & Issues “I’m sorry Dave, I’m afraid I can’t do that… This mission is too important for me to allow you to jeopardize it… I know that you an Frank were planning to disconnect me and I’m afraid that’s something I cannot allow to happen.” HAL, 2001 A Space Odyssey
  28. 28. For more information: Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. adrian@storminsights.com Twitter @ajbowles Skype ajbowles Upcoming Webinar Dates & Topics October 13 Deep QA (Question/Answer) - Lessons From Watson and Jeopardy! November 10 Emerging Hardware Choices for Modern AI Data Management December 8 Leverage the IOT to Build a Smart Data Ecosystem

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