| | Autonomous Systems Lab Roland Siegwart, ETH Zurich www.asl.ethz.ch www.wysszurich.ch Roboter lernen sehen und selbst zu navigieren - Chancen und Herausforderungen autonomer Roboter für die Arbeits- und Alltagswelt. 18.10.2016 Roland Siegwart 1 Shaping the future Industrie 4.0 - Digitale Chancen im Facility Management und der Baubranche Ittigen, 20. Oktober, 2016
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Shaping the future...2016/05/03 · Technologies Disrupting Services | digitalization / industry 4.0 1981 2016 Autonomous Systems Lab Roland Siegwart 24 | 18.10.2016 | Robotics today
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||Autonomous Systems Lab
Roland Siegwart, ETH Zurichwww.asl.ethz.chwww.wysszurich.ch
Roboter lernen sehen und selbst zu navigieren- Chancen und Herausforderungen autonomer Roboter für die Arbeits- und Alltagswelt.
18.10.2016Roland Siegwart 1
Shaping the future
Industrie 4.0 - Digitale Chancen im Facility Management und der BaubrancheIttigen, 20. Oktober, 2016
||Autonomous Systems Lab
Personal Computer
Internet / Information
Mobile Devices / Connectivity
Robotics / IoTCyber-Physical Systems
18.10.2016Roland Siegwart 20
Technologies Disrupting Services | digitalization / industry 4.0
1981
2016
||Autonomous Systems Lab 18.10.2016Roland Siegwart 24
Robotics today (Changan-Ford China )
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||Autonomous Systems Lab 18.10.2016Roland Siegwart 28
Next generation of Robots| mobile, smart, connected, adaptive and closer to humans
CyborgsService and
Personal RobotsIndustrial Robots
Smart and adaptive, connected,
human-friendly→ exponential
increase of complexity
YuMi
||Autonomous Systems Lab
Complex machines
18.10.2016Roland Siegwart 31
Fascinating Robots
DARPA Robotics Challenge07.06.2015,
Team NEDO-JSK, Japan12 x original speed!!
SpotMini | electic quadruped, Boston Dynamics
OceanOne | Humanoid Underwater Robot, Stanford University
https://www.youtube.com/watch?v=tf7IEVTDjng
https://www.youtube.com/watch?v=8P9geWwi9e0
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||Autonomous Systems Lab
Robots that can dealing with uncertainand partially available information
Robots that see, feel and understandtheir environment
Robots with torque and force controlfor tactile interaction (“soft robots”)
Robots with intuitive human-machine interfaces
Robots that learn and adapt every day
18.10.2016Roland Siegwart 36
Service Robots | Key Directions
50x speed
||Autonomous Systems Lab
Mission and Dedication To create intelligent robots and systems that operate
autonomously in complex and dynamic environments.
Research Focus
Novel robot concepts that are best adapted for ground, air, or water based applications.
New algorithms for perception, localization, abstraction, mapping, and path planning that will enable autonomous operation in challenging environments.
18.10.2016Roland Siegwart 48
Autonomous Systems Lab @ ETHInstitute of Robotics and Intelligent SystemsProf. Dr. Roland Siegwart ~ 40 researcher (PhDs, Postdocs, …)
~ 60 master students~ 10 startups
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||Autonomous Systems Lab
rezero (2010)| the ball balancing robothttps://www.youtube.com/watch?v=ACohrH64YKs
BeachBot (2014, with Disney)| the beach artisthttps://www.youtube.com/watch?v=eBRrQBPtdak
Vertigo (2015 with Disney)| the ultimate wall climberhttps://www.youtube.com/watch?v=KRYT2kYbgo4
Scalevo (2015)| the stair-climbing wheelchairhttps://www.youtube.com/watch?v=3lb_8nmy90c
Ultimate Rolling Robots – designed by students
Roland Siegwart 18.10.2016 59
||Autonomous Systems Lab
ALOF (2008)| the versatile walker
https://www.youtube.com/watch?v=F5HsFyirhZI
StarlETH (2010)| the quadruped with serial elastic actuation