Author Archives: Valentin Peretroukhin

Best Student Paper at MFI 2016 & Travel Award to ISER 2016!

Congratulations to Jacob Lambert (along with his co-authors Lee Clement, Matthew Giamou, and Jonathan) for winning the Best Student Paper at the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems in Baded-Baden, Germany!

Lee Clement was also awarded a travel award to the 2016 International Symposium of Experimental Robotics in Tokyo, Japan where he is presenting a paper on improving visual odometry through sun detection. Congrats Lee and Jacob!

STARS at RSS 2016

This weekend we drove over to the lovely University of Michigan campus to attend the workshops at RSS 2016. During the daytime, we listened to several heated exchanges about the future of hyper-parametric function approximation (i.e. Deep Learning) in robotics. During the night, we spent some time arguing over the best local Michigan brews. A great time all-around!

Lee and Valentin at RSS 2016.

Lee and Valentin at RSS 2016.

The Deep Learning workshop at RSS 2016.

The Deep Learning workshop at RSS 2016.

A successful ICRA 2016 presentation for Valentin

Valentin presented his work on PROBE-GK: Predictive Robust Estimation using Generalized Kernels (in collaboration with the MIT RRG including Will Vega-Brown) at ICRA 2016 in Stockholm. A great turn out for the 3-minute spotlight talk, and lots of great questions at the interactive poster!


Valentin and Will (from Nick Roy’s group at MIT) at ICRA 2016.


Valentin presenting in the Visual-Based Navigation session.

IROS 2015 paper accepted!

Valentin Peretroukhin will present his work on predictive noise modelling for visual-inertial navigation at IROS 2015 in Hamburg, Germany. This research enables learning of robust sensor noise models – making it easier to build consistent estimators. Congratulations Valentin!

FSR 2015 paper accepted!

Lee Clement’s work on a monocular Visual Teach and Repeat (VT&R) pipeline for mobile robots will be presented at the FSR 2015 conference in Toronto in June. The paper demonstrates that basic information¬†about camera placement can be employed in a monocular VT&R system to enable kilometre-scale route repetition with performance nearly identical to that of stereo VT&R. Congratulations Lee!

Example of noise model used in Lee's paper to enable robust navigation.

Example of noise model used in Lee’s paper to enable robust navigation.