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Rethinking Exploration for Sample-Efficient Policy Learning

Jan 23, 2021
William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin Riedmiller

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Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion

Aug 06, 2020
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin Riedmiller

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Simple Sensor Intentions for Exploration

May 15, 2020
Tim Hertweck, Martin Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess

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Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM

Feb 24, 2020
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew Davison

* ICRA 2020 

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MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM

Mar 21, 2019
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew Davison, Stefan Leutenegger

* Accepted to International Conference on Robotics and Automation (ICRA) 2019. 7 (6 + 1) pages. Please also see video Link: 

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SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations

Mar 18, 2019
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019) 

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Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs)

Nov 26, 2018
Titus Cieslewski, Michael Bloesch, Davide Scaramuzza

* 8 pages without references 

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Task-Embedded Control Networks for Few-Shot Imitation Learning

Oct 08, 2018
Stephen James, Michael Bloesch, Andrew J. Davison

* Published at the Conference on Robot Learning (CoRL) 2018 

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LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo

Sep 09, 2018
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison

* ECCV 2018. Video: 

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Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone

Sep 06, 2018
Inkyu Sa, Mina Kamel, Michael Burri, Michael Bloesch, Raghav Khanna, Marija Popovic, Juan Nieto, Roland Siegwart

* IEEE Robotics & Automation Magazine 2017 
* 21 pages, 10 figures, accepted to IEEE Robotics & Automation Magazine 

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Fusion++: Volumetric Object-Level SLAM

Aug 28, 2018
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger

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CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

Apr 03, 2018
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison

* To be published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) 

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Why and How to Avoid the Flipped Quaternion Multiplication

Feb 05, 2018
Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan Nieto

* 16 pages, 1 figure, 2 tables (minor improvements and fixes over v1, smaller page margins) 

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A Primer on the Differential Calculus of 3D Orientations

Oct 31, 2016
Michael Bloesch, Hannes Sommer, Tristan Laidlow, Michael Burri, Gabriel Nuetzi, Péter Fankhauser, Dario Bellicoso, Christian Gehring, Stefan Leutenegger, Marco Hutter, Roland Siegwart

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gvnn: Neural Network Library for Geometric Computer Vision

Aug 12, 2016
Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew Davison

* Submitted to ECCV Workshop on Deep Geometry 

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An Open Source, Fiducial Based, Visual-Inertial Motion Capture System

Jun 13, 2016
Michael Neunert, Michael Bloesch, Jonas Buchli

* To appear in The International Conference on Information Fusion (FUSION) 2016 

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State Estimation for a Humanoid Robot

Dec 10, 2014
Nicholas Rotella, Michael Bloesch, Ludovic Righetti, Stefan Schaal

* IROS 2014 Submission, IEEE/RSJ International Conference on Intelligent Robots and Systems (2014) 952-958 

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