The sFly project is featured at TEDx Zurich
2014-06-30The 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.
2014-06-13StarlETH andVelociRoACH featured in IEEE Spectruma
2014-05-30MasterAwards for M. Bürki, J. Hwangbo and R. Khanna
2014-05-20ASL sends two focus teams to the rollout presentation on 27th May
2014-03-11J. 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)!
2014-01-27Marco Hutter wins ETH Medal for his Doctoral Thesis "StarlETH & Co. - Design and Control of Legged Robotics with Compliant Actuation"
2014-01-24Davide Scaramuzza - UniZH - formerly at ASL won IEEE RAS (Robotics and Automation Society) Early Career Award
2014-01-23Roland Siegwart - ETH Zurich, Switzerland IEEE won Inaba Technical Award for Innovation Leading to Production
2013-11-07F. Colas, F. Pomerleau, M. Liu et al. won Best RoboCup paper award at IROS
2013-09-26Dr. Margarita Chli appointed Chancellor's Fellow and Lecturer at School of Informatics of the University of Edinburgh
2013-09-25Michael Neunert received Johann Puch Innovation Award 2012 for Master Thesis
2013-08-29Dr. M. Liu and Prof. R. Siegwart won the "Best Paper in Information" at ICIA 2013!
2013-08-15Dr. Ming Liu appointed Assistant Professor at the The Hong Kong University of Science and Technology
2013-06-04Talk @ ASL, Dr. N. Nourani-Vatani, "Vision for underwater vehicles", 13.06.2013 at 11:15
2013-05-11Nomination for IEEE/IFR Invention and Entrepreneurship Award
2013-05-09Nomination for the BestVision Paper Award at ICRA 2013
2013-04-11The best innovations at ETH 2013 - SPARK Award
2013-03-19Legged robotic team wins best hardware presentation award!
2013-02-14Radio interview with Prof. R. Siegwart
2013-02-12Ming Liu wins Winning Prize for the seventh Chunhui CupPioneering Competition for Overseas Chinese Scholars (2012)
2013-01-31Ming Liu has been invited for 11 universities in China for academic seminars
2012-11-28The sFly project is featured at TEDx Zurich
2012-10-02Team ARTOR wins Creative Solution Award at
2012-09-18MFI 2012: Best student paper award and best paperfinalist
2012-09-03Demonstration of Lonelybuilder won Best Demo Award at ECAI2012
2012-08-27Appointments of former ASL collaborators to Professor: Dr. C. Pradalier, Dr. D. Scaramuzza, Dr. C. D. Remy
2012-08-24CLAWAR: Best Student Paper Award and Highly Commended Paper Award!
2012-08-23ETH Life: "Obelix" crosses successfully Freiburg (project EUROPA)
2012-05-24EU project sFly coordinated by ASL gets published in IEEEspectrum
2012-05-23The paper on "Real-timeonboard visual-inertial state estimation and self-calibration of MAVs inunknown environments" by S. Weiss, M. Achtelik, S. Lynen, M. Chli andR. Siegward was a Best Vision Paper Finalist in ICRA 2012.
2012-03-27Talk of Prof. Kazuya Yoshida on "Mobile Robots for Exploration of Extreme and Uncertain Environments in Terrestrial and Planetary Applications"
Prof. Davide Scaramuzza leader of the sFly project and former member of the Autonomous Systems Lab was invited to TEDx Zurich to present the results of the recently finished project sFly. At the end of the talk Markus Achtelik, Stephan Weiss and Simon Lynen collaborators within sFly were presenting the performance of the helicopter with a live demo.
Watch the video here.
This talk is about our autonomous, vision-controlled micro flying robots. Potential applications of these robots are e.g. search and rescue, inspection and environment monitoring.
Indeed, in order to be truly autonomous, current flying robots rely on GPS or motion-capture systems. Unfortunately, GPS does not work indoors, while motion-capture systems require prior modification of the environment where the robots are supposed to operate, which is not possible in environments that are still to be explored. Therefore, the idea of sFly consists of using just a single cameras onboard the robot which is combined with readings from an inertial measurement unit in an extended Kalman filter framework.
This talk presents our progress towards this endeavor, open challenges, and future applications.