Scaramuzza lab received the TRO best paper award at ICRA 2018 in Brisbane, Australia for their paper on IMU pre-integration.
26.01.17 – Tune in to Spy in the Wild on BBC 1 on 26th January at 20:00 GMT to see NCCR Robotics’ newest robot in action. Producers from John Downer productions for BBC One’s Spy in the Wild first approached Ijspeert Lab, EPFL in 2015 to ask them to create two robots, a crocodile and a monitor lizard, to be …
07.12.16 – We are looking for two Postdocs in soft wearable robotics.*****Postdoc in Soft Wearable Robotics: Kinetic / Haptic feedback The EPFL Laboratory of Intelligent Systems (Prof. Dario Floreano, http://lis.epfl.ch) and the EPFL Translational Neural Engineering Lab (Prof. Silvestro Micera, http:// tne.epfl.ch) invite applications for a postdoctoral fellowship in wearable technologies for human-robot interaction. The postdoc will work …
18 Aug 2017
4:00 pm – 5:00 pm
Seminar: Nanocomposite based Sensing and Monitoring
MED 115 18, EPFL, Lausanne
|Abstract: With the advent of information and communication technologies (ICT), the cost effective, robust and accurate sensors are becoming important elements of internet of things (IoT). Polymeric composite sensors that...|
2 Jun 2017
10:30 am – 7:00 pm
ICRA Workshop on Event-based vision
sands expo and convention centre, Singapore 018971
|Tobi Delbruck and Davide Scaramuzza are confirmed speakers. For more information please see: http://rpg.ifi.uzh.ch/ICRA17_event_vision_workshop.html|
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A new method for the estimation of ego-motion (the direction and amplitude of the velocity) of a mobile device comprising optic-flow and inertial sensors (hereinafter the apparatus). The velocity is expressed in the apparatus’s reference frame, which is moving with the apparatus. The method relies on short-term inertial navigation and the direction of the translational optic- flow in order to estimate ego-motion, defined as the velocity estimate (that describes the speed amplitude and the direction of motion).A key characteristic of the invention is the use of optic- flow without the need for any kind of feature tracking. Moreover, the algorithm uses the direction of the optic-flow and does not need the amplitude, thanks to the fact that the scale of the velocity is solved by the use of inertial navigation and changes in direction of the apparatus.