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News

2015-06-16

Marcin Dymczyk was awarded with the ETH Medal for his Master Thesis

2015-06-12

Dr. K. Alexis: Assistant Professor in Computer Science & Engineering at the University of Nevada 

2015-06-11

Mina Kamel awarded the Willi-Studer Preis as best Master's Degree in RSC

2015-05-11

Autonomous cars / V-Charge in print media

2015-03-18

Pixelbots live in Spanish TV

2015-02-13

Primary school students perform play with Robot "Igor"

2014-12-23

AtlantikSolar research on Meteorological Path Planning(MeteoSwiss and ETHZ cooperation) wins two prizes

2014-10-24

Today in 20min: "Rettungsroboter nach dem Vorbild der Natur"

2014-09-22

Today: Public Defense S. Leutenegger & J. Maye at the bqm

2014-08-27

K. Alexis won 2014 Premium Award for Best Paper in Control Theory & Applications

2014-08-24

The SEPIOS Robot developed in our Focusproject won the NI Global Student Design Showcase 2014 in Austin Texas

2014-08-20

"Best Robot Video" at the AAAI Video Competition for M. Hutter, M. Hoepflinger, C. Gehring, M. Bloesch, M. Kolbe, R. Siegwart

2014-08-12

“Success Stories” on the SPARC - The Partnership for Robotics in Europe - website. Check them out!

2014-06-30

The paper from G. Darivianakis, K. Alexis, M. Burri and R. Siegwart on "Hybrid Predictive Control for Aerial Robotic Physical Interaction towards Inspection Operations" finalisted for the Best Automation Paper Award on ICRA 2014, Hong Kong.

2014-06-13

StarlETH andVelociRoACH featured in IEEE Spectruma

2014-05-30

MasterAwards for M. Bürki, J. Hwangbo and R. Khanna

2014-05-20

ASL sends two focus teams to the rollout presentation on 27th May

2014-03-11

J. Alonso-Mora, R. Siegwart, P. Beardsley win Best Video Award (2nd Price) in the 9th ACM/IEEE Int. Conf. in Human-Robot Interaction (HRI 2014)!

2014-01-27

Marco Hutter wins ETH Medal for his Doctoral Thesis "StarlETH & Co. - Design and Control of Legged Robotics with Compliant Actuation"

2014-01-24

Davide Scaramuzza - UniZH - formerly at ASL won IEEE RAS (Robotics and Automation Society) Early Career Award

2014-01-23

Roland Siegwart - ETH Zurich, Switzerland IEEE won Inaba Technical Award for Innovation Leading to Production

2013-11-07

F. Colas, F. Pomerleau, M. Liu et al. won Best RoboCup paper award at IROS

2013-09-26

Dr. Margarita Chli appointed Chancellor's Fellow and Lecturer at School of Informatics of the University of Edinburgh

2013-09-25

Michael Neunert received Johann Puch Innovation Award 2012 for Master Thesis

2013-08-29

Dr. M. Liu and Prof. R. Siegwart won the "Best Paper in Information" at ICIA 2013!

2013-08-15

Dr. Ming Liu appointed Assistant Professor at the The Hong Kong University of Science and Technology

2013-06-04

Talk @ ASL, Dr. N. Nourani-Vatani, "Vision for underwater vehicles", 13.06.2013 at 11:15

2013-05-11

Nomination for IEEE/IFR Invention and Entrepreneurship Award

2013-05-09

Nomination for the BestVision Paper Award at ICRA 2013

2013-04-11

The best innovations at ETH 2013 - SPARK Award

2013-03-19

Legged robotic team wins best hardware presentation award!

2013-02-14

Radio interview with Prof. R. Siegwart

2013-02-12

Ming Liu wins Winning Prize for the seventh Chunhui CupPioneering Competition for Overseas Chinese Scholars (2012)

2013-01-31

Ming Liu has been invited for 11 universities in China for academic seminars

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News Archive
  • Welcome to the website of the Autonomous Systems Lab (ASL) led by Prof. Roland Siegwart. The Autonomous Systems Lab was founded in 1996 at EPFL Lausanne and it has been part of the Institute of Robotics and Intelligent Systems (IRIS) at ETH Zurich since 2006.
  • Our mission and dedication is to create robots and intelligent systems that are able to autonomously operate in complex and diverse environments. We are interested in the mechatronic design and control of systems that autonomously adapt to different situations and cope with our uncertain and dynamic daily environment. We are fascinated by novel robot concepts that are best adapted for acting on the ground, in the air and in the water. We are furthermore keen to give them the intelligence to autonomously navigate in challenging environments. This includes novel methods and tools for perception, abstraction, mapping and path planning.
 
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© 2015 ETH Zurich | Imprint | Disclaimer | 6 May 2014
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