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Introduction Current state Challenges
Autonomy and autonomous systems, the
state of play
AI Nuclear Risk Workshop, SIPRI
Dimitri Scheftelowitsch
TU Dortmund
May 22, 2018
Introduction Current state Challenges
Autonomous systems
Figure: Autonomous device warning, © Lifeboat Foundation
What are autonomous systems?
Introduction Current state Challenges
A definition
Definition (An a empt)
An autonomous system is a technical device that can
Introduction Current state Challenges
A definition
Definition (An a empt)
An autonomous system is a technical device that can
observe its environment (“Where am I?”)
Introduction Current state Challenges
A definition
Definition (An a empt)
An autonomous system is a technical device that can
observe its environment (“Where am I?”)
plan own actions according to some goal (“How do I get
what I want?”)
Introduction Current state Challenges
A definition
Definition (An a empt)
An autonomous system is a technical device that can
observe its environment (“Where am I?”)
plan own actions according to some goal (“How do I get
what I want?”)
execute the planned schedule (“What do I do now?”)
without (or with li le) intervention from a human operator.
Introduction Current state Challenges
A definition
Definition (An a empt)
An autonomous system is a technical device that can
observe its environment (“Where am I?”)
plan own actions according to some goal (“How do I get
what I want?”)
execute the planned schedule (“What do I do now?”)
without (or with li le) intervention from a human operator.
Goal required!
Introduction Current state Challenges
Notes on definition
(a) DARPA 2007 Urban challenge
participant
(b) Spot welding robots, CC
BY-SA 2.0 BMW Werk Leipzig
Distinction autonomy vs. automation
Introduction Current state Challenges
Notes on definition
(a) DARPA 2007 Urban challenge
participant
(b) Spot welding robots, CC
BY-SA 2.0 BMW Werk Leipzig
Distinction autonomy vs. automation
Automation execution of simple, hard-coded tasks
Introduction Current state Challenges
Notes on definition
(a) DARPA 2007 Urban challenge
participant
(b) Spot welding robots, CC
BY-SA 2.0 BMW Werk Leipzig
Distinction autonomy vs. automation
Automation execution of simple, hard-coded tasks
Autonomy algorithmic planning and scheduling
Introduction Current state Challenges
Notes on definition
(a) DARPA 2007 Urban challenge
participant
(b) Spot welding robots, CC
BY-SA 2.0 BMW Werk Leipzig
Distinction autonomy vs. automation
Automation execution of simple, hard-coded tasks
Autonomy algorithmic planning and scheduling
Note distinction fuzzy
Introduction Current state Challenges
Building blocks


0101…
Any autonomous device needs
sensors
Introduction Current state Challenges
Building blocks


0101… ML
Any autonomous device needs
sensors
internal domain representation
Introduction Current state Challenges
Building blocks


0101… ML
Any autonomous device needs
sensors
internal domain representation
a model of own actions (“What if?..”)
Introduction Current state Challenges
Navigation
(a) DARPA 2007 Urban challenge
participant
(b) SailDrone, Photo © Richard
Jenkins
(c) Autonomous farming, Photo ©
Freya Fleckenstein
(d) Cora, Photo © Ki y Hawk
Introduction Current state Challenges
Medicine
Most researched subject: Autonomous surgeries
Figure: CyberKnife, CC BY-SA BLK Cyberknife Hospital
Current stage CNC-like execution of surgical plan
Introduction Current state Challenges
Medicine
Most researched subject: Autonomous surgeries
Figure: CyberKnife, CC BY-SA BLK Cyberknife Hospital
Current stage CNC-like execution of surgical plan
Cu ing edge Tumor recognition and radiotherapy
Introduction Current state Challenges
Medicine
Most researched subject: Autonomous surgeries
Figure: CyberKnife, CC BY-SA BLK Cyberknife Hospital
Current stage CNC-like execution of surgical plan
Cu ing edge Tumor recognition and radiotherapy
Future Autonomous cuts
Introduction Current state Challenges
Non-robot applications
Not always an autonomous device is a (mechanical) robot.
Introduction Current state Challenges
Non-robot applications
Not always an autonomous device is a (mechanical) robot.
Example
Autonomous trading
Introduction Current state Challenges
Non-robot applications
Not always an autonomous device is a (mechanical) robot.
Example
Autonomous trading
Autonomous disaster warning
Introduction Current state Challenges
Non-robot applications
Not always an autonomous device is a (mechanical) robot.
Example
Autonomous trading
Autonomous disaster warning
Air traffic control
Introduction Current state Challenges
Non-robot applications
Not always an autonomous device is a (mechanical) robot.
Example
Autonomous trading
Autonomous disaster warning
Air traffic control
Calling companies to update opening hours database
Introduction Current state Challenges
Impossibilities
Three (and a half) main problems
Observation complexity
Introduction Current state Challenges
Impossibilities
Three (and a half) main problems
Observation complexity
Domain complexity
Introduction Current state Challenges
Impossibilities
Three (and a half) main problems
Observation complexity
Domain complexity
Planning complexity
Introduction Current state Challenges
Impossibilities
Three (and a half) main problems
Observation complexity
Domain complexity
Planning complexity
Specification
Introduction Current state Challenges
Observation complexity
Not all observation tasks are equal
Figure: German driver’s license exam, © fahrschule.de
Introduction Current state Challenges
Complex domains: State space explosion
Problem size is exponential in the number of variables
2 4 6 8 10
0
200
400
600
800
1,000
Variables
States
Introduction Current state Challenges
Complex domains II: Multiple parties and uncertainty
Non-cooperative actors and uncertainty lead to difficulties
Figure: 2010 Flash Crash
Need to infer all goals of all actors and hidden information,
otherwise: model unusable
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
on May 22
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
on May 22
departing in Bad Hersfeld, Germany
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
on May 22
departing in Bad Hersfeld, Germany
on May 22
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
on May 22
departing in Bad Hersfeld, Germany
on May 22
with a total budget of…
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
on May 22
departing in Bad Hersfeld, Germany
on May 22
with a total budget of…
with at most 4 changes
Introduction Current state Challenges
Planning
Depending on the goal, planning can get complicated
Example
Get to SIPRI…
on May 22
departing in Bad Hersfeld, Germany
on May 22
with a total budget of…
with at most 4 changes
with 10kg luggage
Introduction Current state Challenges
Problem formulation
Not a computational problem…
Problem
Communication, especially with a computer, is non-trivial
Introduction Current state Challenges
Problem formulation
Not a computational problem…
Problem
Communication, especially with a computer, is non-trivial
Formalizing a problem is often hard.
Introduction Current state Challenges
Problem formulation
Not a computational problem…
Problem
Communication, especially with a computer, is non-trivial
Formalizing a problem is often hard.
The wrong way
World domination
Introduction Current state Challenges
Problem formulation
Not a computational problem…
Problem
Communication, especially with a computer, is non-trivial
Formalizing a problem is often hard.
The wrong way
World domination
The correct way
Allocate shares to most profitable assets

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Autonomy and autonomous systems, the state of play

  • 1. Introduction Current state Challenges Autonomy and autonomous systems, the state of play AI Nuclear Risk Workshop, SIPRI Dimitri Scheftelowitsch TU Dortmund May 22, 2018
  • 2. Introduction Current state Challenges Autonomous systems Figure: Autonomous device warning, © Lifeboat Foundation What are autonomous systems?
  • 3. Introduction Current state Challenges A definition Definition (An a empt) An autonomous system is a technical device that can
  • 4. Introduction Current state Challenges A definition Definition (An a empt) An autonomous system is a technical device that can observe its environment (“Where am I?”)
  • 5. Introduction Current state Challenges A definition Definition (An a empt) An autonomous system is a technical device that can observe its environment (“Where am I?”) plan own actions according to some goal (“How do I get what I want?”)
  • 6. Introduction Current state Challenges A definition Definition (An a empt) An autonomous system is a technical device that can observe its environment (“Where am I?”) plan own actions according to some goal (“How do I get what I want?”) execute the planned schedule (“What do I do now?”) without (or with li le) intervention from a human operator.
  • 7. Introduction Current state Challenges A definition Definition (An a empt) An autonomous system is a technical device that can observe its environment (“Where am I?”) plan own actions according to some goal (“How do I get what I want?”) execute the planned schedule (“What do I do now?”) without (or with li le) intervention from a human operator. Goal required!
  • 8. Introduction Current state Challenges Notes on definition (a) DARPA 2007 Urban challenge participant (b) Spot welding robots, CC BY-SA 2.0 BMW Werk Leipzig Distinction autonomy vs. automation
  • 9. Introduction Current state Challenges Notes on definition (a) DARPA 2007 Urban challenge participant (b) Spot welding robots, CC BY-SA 2.0 BMW Werk Leipzig Distinction autonomy vs. automation Automation execution of simple, hard-coded tasks
  • 10. Introduction Current state Challenges Notes on definition (a) DARPA 2007 Urban challenge participant (b) Spot welding robots, CC BY-SA 2.0 BMW Werk Leipzig Distinction autonomy vs. automation Automation execution of simple, hard-coded tasks Autonomy algorithmic planning and scheduling
  • 11. Introduction Current state Challenges Notes on definition (a) DARPA 2007 Urban challenge participant (b) Spot welding robots, CC BY-SA 2.0 BMW Werk Leipzig Distinction autonomy vs. automation Automation execution of simple, hard-coded tasks Autonomy algorithmic planning and scheduling Note distinction fuzzy
  • 12. Introduction Current state Challenges Building blocks   0101… Any autonomous device needs sensors
  • 13. Introduction Current state Challenges Building blocks   0101… ML Any autonomous device needs sensors internal domain representation
  • 14. Introduction Current state Challenges Building blocks   0101… ML Any autonomous device needs sensors internal domain representation a model of own actions (“What if?..”)
  • 15. Introduction Current state Challenges Navigation (a) DARPA 2007 Urban challenge participant (b) SailDrone, Photo © Richard Jenkins (c) Autonomous farming, Photo © Freya Fleckenstein (d) Cora, Photo © Ki y Hawk
  • 16. Introduction Current state Challenges Medicine Most researched subject: Autonomous surgeries Figure: CyberKnife, CC BY-SA BLK Cyberknife Hospital Current stage CNC-like execution of surgical plan
  • 17. Introduction Current state Challenges Medicine Most researched subject: Autonomous surgeries Figure: CyberKnife, CC BY-SA BLK Cyberknife Hospital Current stage CNC-like execution of surgical plan Cu ing edge Tumor recognition and radiotherapy
  • 18. Introduction Current state Challenges Medicine Most researched subject: Autonomous surgeries Figure: CyberKnife, CC BY-SA BLK Cyberknife Hospital Current stage CNC-like execution of surgical plan Cu ing edge Tumor recognition and radiotherapy Future Autonomous cuts
  • 19. Introduction Current state Challenges Non-robot applications Not always an autonomous device is a (mechanical) robot.
  • 20. Introduction Current state Challenges Non-robot applications Not always an autonomous device is a (mechanical) robot. Example Autonomous trading
  • 21. Introduction Current state Challenges Non-robot applications Not always an autonomous device is a (mechanical) robot. Example Autonomous trading Autonomous disaster warning
  • 22. Introduction Current state Challenges Non-robot applications Not always an autonomous device is a (mechanical) robot. Example Autonomous trading Autonomous disaster warning Air traffic control
  • 23. Introduction Current state Challenges Non-robot applications Not always an autonomous device is a (mechanical) robot. Example Autonomous trading Autonomous disaster warning Air traffic control Calling companies to update opening hours database
  • 24. Introduction Current state Challenges Impossibilities Three (and a half) main problems Observation complexity
  • 25. Introduction Current state Challenges Impossibilities Three (and a half) main problems Observation complexity Domain complexity
  • 26. Introduction Current state Challenges Impossibilities Three (and a half) main problems Observation complexity Domain complexity Planning complexity
  • 27. Introduction Current state Challenges Impossibilities Three (and a half) main problems Observation complexity Domain complexity Planning complexity Specification
  • 28. Introduction Current state Challenges Observation complexity Not all observation tasks are equal Figure: German driver’s license exam, © fahrschule.de
  • 29. Introduction Current state Challenges Complex domains: State space explosion Problem size is exponential in the number of variables 2 4 6 8 10 0 200 400 600 800 1,000 Variables States
  • 30. Introduction Current state Challenges Complex domains II: Multiple parties and uncertainty Non-cooperative actors and uncertainty lead to difficulties Figure: 2010 Flash Crash Need to infer all goals of all actors and hidden information, otherwise: model unusable
  • 31. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI…
  • 32. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI… on May 22
  • 33. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI… on May 22 departing in Bad Hersfeld, Germany
  • 34. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI… on May 22 departing in Bad Hersfeld, Germany on May 22
  • 35. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI… on May 22 departing in Bad Hersfeld, Germany on May 22 with a total budget of…
  • 36. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI… on May 22 departing in Bad Hersfeld, Germany on May 22 with a total budget of… with at most 4 changes
  • 37. Introduction Current state Challenges Planning Depending on the goal, planning can get complicated Example Get to SIPRI… on May 22 departing in Bad Hersfeld, Germany on May 22 with a total budget of… with at most 4 changes with 10kg luggage
  • 38. Introduction Current state Challenges Problem formulation Not a computational problem… Problem Communication, especially with a computer, is non-trivial
  • 39. Introduction Current state Challenges Problem formulation Not a computational problem… Problem Communication, especially with a computer, is non-trivial Formalizing a problem is often hard.
  • 40. Introduction Current state Challenges Problem formulation Not a computational problem… Problem Communication, especially with a computer, is non-trivial Formalizing a problem is often hard. The wrong way World domination
  • 41. Introduction Current state Challenges Problem formulation Not a computational problem… Problem Communication, especially with a computer, is non-trivial Formalizing a problem is often hard. The wrong way World domination The correct way Allocate shares to most profitable assets