Michael Bloesch

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 45

Top Topics

Reinforcement Learning

Parameter Identification

Top Venues

Publications

Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. ICRA (2024)
Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
Offline Actor-Critic Reinforcement Learning Scales to Large Models. CoRR (2024)
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics 9 (89) (2024)
Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller
Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. CoRR (2023)
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Markus Wulfmeier, Jan Humplik, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. CoRR (2023)
Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger
Dense RGB-D-Inertial SLAM with Map Deformations. CoRR (2022)
Nathan Lambert, Markus Wulfmeier, William F. Whitney, Arunkumar Byravan, Michael Bloesch, Vibhavari Dasagi, Tim Hertweck, Martin A. Riedmiller
The Challenges of Exploration for Offline Reinforcement Learning. CoRR (2022)
William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller
Rethinking Exploration for Sample-Efficient Policy Learning. CoRR (2021)
Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. CoRL (2021)
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. CoRR (2020)
Tim Hertweck, Martin A. Riedmiller, Michael Bloesch, Jost Tobias Springenberg, Noah Y. Siegel, Markus Wulfmeier, Roland Hafner, Nicolas Heess
Simple Sensor Intentions for Exploration. CoRR (2020)
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. ICRA (2020)
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRL (2020)
Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. CoRR (2020)
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. ICRA (2019)
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. CVPR (2019)
Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
Learning Meshes for Dense Visual SLAM. ICCV (2019)
Titus Cieslewski, Michael Bloesch, Davide Scaramuzza
Matching Features without Descriptors: Implicitly Matched Interest Points. BMVC (2019)
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations. CoRR (2019)
Charlie Houseago, Michael Bloesch, Stefan Leutenegger
KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. ICRA (2019)
Titus Cieslewski, Michael Bloesch, Davide Scaramuzza
Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs). CoRR (2018)
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
Fusion++: Volumetric Object-Level SLAM. 3DV (2018)
Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan I. Nieto
Why and How to Avoid the Flipped Quaternion Multiplication. CoRR (2018)
Inkyu Sa, Mina Kamel, Michael Burri, Michael Bloesch, Raghav Khanna, Marija Popovic, Juan I. Nieto, Roland Siegwart
Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone. IEEE Robotics Autom. Mag. 25 (1) (2018)
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
Fusion++: Volumetric Object-Level SLAM. CoRR (2018)
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR (2018)
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) (2018)
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR (2018)
Michael Burri, Michael Bloesch, Zachary Taylor, Roland Siegwart, Juan I. Nieto
A framework for maximum likelihood parameter identification applied on MAVs. J. Field Robotics 35 (1) (2018)
Michael Bloesch, Michael Burri, Hannes Sommer, Roland Siegwart, Marco Hutter
The Two-State Implicit Filter Recursive Estimation for Mobile Robots. IEEE Robotics Autom. Lett. 3 (1) (2018)
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. CoRR (2018)
Stephen James, Michael Bloesch, Andrew J. Davison
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRL (2018)
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. CoRR (2018)
Stephen James, Michael Bloesch, Andrew J. Davison
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRR (2018)
Peter Fankhauser, Michael Bloesch, Marco Hutter
Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization. IEEE Robotics Autom. Lett. 3 (4) (2018)
Inkyu Sa, Mina Kamel, Michael Burri, Michael Bloesch, Raghav Khanna, Marija Popovic, Juan I. Nieto, Roland Siegwart
Build your own visual-inertial odometry aided cost-effective and open-source autonomous drone. CoRR (2017)
Michael Bloesch, Michael Burri, Sammy Omari, Marco Hutter, Roland Siegwart
Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback. Int. J. Robotics Res. 36 (10) (2017)
Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger
Dense RGB-D-inertial SLAM with map deformations. IROS (2017)
Christian Gehring, Stelian Coros, Marco Hutter, Carmine Dario Bellicoso, Huub Heijnen, Remo Diethelm, Michael Bloesch, Peter Fankhauser, Jemin Hwangbo, Mark A. Hoepflinger, Roland Siegwart
Practice Makes Perfect: An Optimization-Based Approach to Controlling Agile Motions for a Quadruped Robot. IEEE Robotics Autom. Mag. 23 (1) (2016)
Michael Bloesch, Hannes Sommer, Tristan Laidlow, Michael Burri, Gabriel Nützi, Peter Fankhauser, Dario Bellicoso, Christian Gehring, Stefan Leutenegger, Marco Hutter, Roland Siegwart
A Primer on the Differential Calculus of 3D Orientations. CoRR (2016)
Peter Fankhauser, Michael Bloesch, Philipp Krusi, Remo Diethelm, Martin Wermelinger, Thomas Schneider, Marcin Dymczyk, Marco Hutter, Roland Siegwart
Collaborative navigation for flying and walking robots. IROS (2016)
Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison
gvnn: Neural Network Library for Geometric Computer Vision. ECCV Workshops (3) (2016)
Marco Hutter, Christian Gehring, Dominic Jud, Andreas Lauber, C. Dario Bellicoso, Vassilios Tsounis, Jemin Hwangbo, Karen Bodie, Peter Fankhauser, Michael Bloesch, Remo Diethelm, Samuel Bachmann, Amir Melzer, Mark A. Höpflinger
ANYmal - a highly mobile and dynamic quadrupedal robot. IROS (2016)
Michael Neunert, Michael Bloesch, Jonas Buchli
An open source, fiducial based, visual-inertial motion capture system. FUSION (2016)
Michael Burri, Michael Bloesch, Dominik Schindler, Igor Gilitschenski, Zachary Taylor, Roland Siegwart
Generalized information filtering for MAV parameter estimation. IROS (2016)