Roboter lernen sehen und selbst zu navigieren - Chancen und Herausforderungen autonomer Roboter für die Arbeits- und Alltagswelt.

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Shaping the future Roboter lernen sehen und selbst zu navigieren - Chancen und Herausforderungen autonomer Roboter für die Arbeits- und Alltagswelt. Roland Siegwart, ETH Zurich www.asl.ethz.ch www.wysszurich.ch Industrie 4.0 - Digitale Chancen im Facility Management und der Baubranche Ittigen, 20. Oktober, 2016 Roland Siegwart 18.10.2016 1

Personal Computer 1981 Technologies Disrupting Services digitalization / industry 4.0 Internet / Information Mobile Devices / Connectivity 2016 Robotics / IoT Cyber-Physical Systems Roland Siegwart 18.10.2016 20

Robotics today (Changan-Ford China ) Roland Siegwart 18.10.2016 24 248 000 industrial robots sold in 2015 68 000 in China https://www.youtube.com/watch?v=seioqy0oxji

Smart and adaptive, connected, human-friendly exponential Next generation of Robots mobile, smart, connected, adaptive and closer to humans increase of complexity Industrial Robots Service and Personal Robots Cyborgs YuMi Roland Siegwart 18.10.2016 28

Fascinating Robots Complex machines OceanOne Humanoid Underwater Robot, Stanford University https://www.youtube.com/watch?v=p1hmgp9l4vy SpotMini electic quadruped, Boston Dynamics https://www.youtube.com/watch?v=tf7ievtdjng DARPA Robotics Challenge 07.06.2015, Team NEDO-JSK, Japan 12 x original speed!! Roland Siegwart 18.10.2016 31 https://www.youtube.com/watch?v=8p9gewwi9e0

Service Robots Key Directions Robots that can dealing with uncertain and partially available information Robots that see, feel and understand their environment 50x speed Robots with torque and force control for tactile interaction ( soft robots ) Robots with intuitive human-machine interfaces Robots that learn and adapt every day Roland Siegwart 18.10.2016 36

@ ETH Institute of Robotics and Intelligent Systems Prof. Dr. Roland Siegwart Mission and Dedication To create intelligent robots and systems that operate autonomously in complex and dynamic environments. Research Focus ~ 40 researcher (PhDs, Postdocs, ) ~ 60 master students ~ 10 startups Body Design Brain Navigation 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. Roland Siegwart 18.10.2016 48

Ultimate Rolling Robots designed by students rezero (2010) the ball balancing robot https://www.youtube.com/watch?v=acohrh64yks BeachBot (2014, with Disney) the beach artist https://www.youtube.com/watch?v=ebrrqbptdak Vertigo (2015 with Disney) the ultimate wall climber https://www.youtube.com/watch?v=kryt2kybgo4 Scalevo (2015) the stair-climbing wheelchair https://www.youtube.com/watch?v=3lb_8nmy90c Roland Siegwart 18.10.2016 59

Walking Robots serial elastic actuation ALOF (2008) the versatile walker https://www.youtube.com/watch?v=f5hsfyirhzi StarlETH (2010) the quadruped with serial elastic actuation https://www.youtube.com/watch?v=7qj65ta7tle AnyMal (2015) the ultimate quadruped https://www.youtube.com/watch?v=ei1zbtypxw0 Prof. Marco Hutter Roland Siegwart 18.10.2016 68

Flying Robots new ways of flying OS4 (2003) pioneering quadrotors https://www.youtube.com/watch?v=vsvte6_74tu&index=34&list=pljol3sa8g75rnj0valyl0bbftnuhwwe1g Reely (2009 with Disney) the flying reel https://www.youtube.com/watch?v=rf6oykkmrx8 Skye (2012 with Disney) the omnidirectional blimp https://www.youtube.com/watch?v=qxvl3ank3w0 PacFlyer/wingtra (2013) the VTOL UAV https://www.youtube.com/watch?v=qadvpdwtgfu Roland Siegwart 18.10.2016 81

? Mobile Robot Navigation (Brain) Localization, Mapping and Planning Roland Siegwart 18.10.2016 87

Seeing Laser-based 3D mapping Roland Siegwart 18.10.2016 91

Seeing Visual-Inertial Motion Estimation https://www.youtube.com/watch?v=yvgprznp4so Roland Siegwart 18.10.2016 92

Intelligent Smartphone perceiving and understanding the environment https://www.youtube.com/watch?v=yvgprznp4so phab2pro Lenovo Roland Siegwart 18.10.2016 93

Real-time On-board Visual-Inertial Navigation Roland Siegwart 18.10.2016 129

Flying Robots EU-Projects Roland Siegwart 18.10.2016 185

UAV collision avoidance and path planning Real time 3D mapping (on-board) optimal path planning considering localization uncertainties Proto 2 https://www.youtube.com/watch?v=95xgves9its Proto 1 Proto 3 Roland Siegwart 18.10.2016 189 https://www.youtube.com/watch?v=95xgves9its https://www.youtube.com/watch?v=d6uvejymea4 https://www.youtube.com/watch?v=-cm-hkti8vw

UAV facade scanning and 3D reconstruction Enhanced teleoperation or autonomous operation Visual-inertial localization for optimal 3D reconstruction Proto 1 Proto 2 Proto 3 Roland Siegwart 18.10.2016 193

Collaborative Visual-Inertial Navigation in collaboration with Prof. Marco Hutter https://www.youtube.com/watch?v=9pprndikraw https://www.youtube.com/watch?v=9pprndikraw Roland Siegwart 18.10.2016 203

Applications Roland Siegwart 18.10.2016 204

Complexity of Services Tactile Manipulation Mobile Manipulation Advanced Interaction Autonomous Navigation Actions from simple motion to complex interaction Robotics Roadmap Toys Household assistant Industrial services Tour-Guides Transportation logistics Tactile manufacturing Vacuum cleaning Agriculture robots Household universal Search and rescue All-terrain navigation Construction robotics Industrial inspection Autonomous car industrial sites Autonomous car freeway 2010 Autonomous car urban Static Structured, 2D Static Unstructured, 3D Dynamic Structured, 2D Dynamic Unstructured, Dynamic 3D Static Environment - from static 2D grid maps to 3D cognitive maps Semantics dynamic 2030 Roland Siegwart 18.10.2016 205

Zurich Area a melting pot for robotics technology Initiatives Spin-offs (*ASL) Industrial Collaborations (ASL) * * * Center for Learning Systems EU-Projects ASL * * * * Roland Siegwart 18.10.2016 215

ASL Team Industrial Partners Funding Agencies Current and former ASL Members (2016) Roland Siegwart 18.10.2016 229