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

||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


Personal Computer

Internet / Information

Mobile Devices / Connectivity

Robotics / IoTCyber-Physical Systems


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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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


Complex machines


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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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


Service Robots | Key Directions

50x speed


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.


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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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


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

Walking Robots – serial elastic actuation


Prof. Marco Hutter


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

Flying Robots | new ways of flying



Mobile Robot Navigation (Brain)Localization, Mapping and Planning


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“Seeing” | Laser-based 3D mapping


“Seeing” | Visual-Inertial Motion Estimation

https://www.youtube.com/watch?v=yvgPrZNp4So


“Intelligent Smartphone” | perceiving and understanding the environment

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phab2proLenovo


Real-time On-board Visual-Inertial Navigation



Flying Robots | EU-Projects

||Autonomous Systems Lab 189

UAV | collision avoidance and path planning

Proto 1

Proto 2

Proto 3

18.10.2016Roland Siegwart

Real time 3D mapping (on-board) optimal path planning considering localization uncertainties

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UAV | facade scanning and 3D reconstruction

Proto 1

Proto 2

Proto 3

18.10.2016Roland Siegwart

Enhanced teleoperation or autonomous operation Visual-inertial localization for optimal 3D reconstruction


Collaborative Visual-Inertial Navigationin collaboration with

https://www.youtube.com/watch?v=9PprNdIKRaw

Prof. Marco Hutter

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Applications



StaticStructured, 2D

StaticUnstructured, 3D

DynamicStructured, 2D

StaticDynamicSemantics

DynamicUnstructured, 3DAc

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Environment - from static 2D grid maps to 3D cognitive maps

AdvancedInteraction

MobileManipulation

TactileManipulation

AutonomousNavigation

Complexityof Services

Robotics Roadmap

Autonomouscar urban

Tour-Guides

Householdassistant

Transportationlogistics

All-terrainnavigation

Autonomouscar freeway

Industrialservices

Toys

Householduniversal

dynamic

Search and rescue

Agriculturerobots

Roland Siegwart 20518.10.2016

Constructionrobotics

2030

2010

Autonomous car industrial sites

Industrialinspection

Tactilemanufacturing

Vacuum cleaning


Zurich Area | a melting pot for robotics technology

Center for Learning Systems

Initiatives Spin-offs (*ASL) Industrial Collaborations (ASL)

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*EU-Projects ASL

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ASL Team – Industrial Partners – Funding Agencies

Current and former ASL Members (2016)

Documents

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