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Michael Bloesch
Michael Blösch
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- affiliation: ETH Zurich, Switzerland
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2020 – today
- 2024
- [j11]Tuomas Haarnoja
, Ben Moran
Learning agile soccer skills for a bipedal robot with deep reinforcement learning. Sci. Robotics 9(89) (2024) - [c38]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. ICML 2024 - [c37]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: 7772-7779 - [i24]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 abs/2402.05546 (2024) - [i23]Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jorg Bornschein, Sandy H. Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin A. Riedmiller:
Imitating Language via Scalable Inverse Reinforcement Learning. CoRR abs/2409.01369 (2024) - [i22]Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari, Jost Tobias Springenberg, Tim Hertweck, Rishabh Joshi, Junhyuk Oh, Michael Bloesch, Thomas Lampe, Nicolas Heess, Jonas Buchli, Martin A. Riedmiller:
Preference Optimization as Probabilistic Inference. CoRR abs/2410.04166 (2024) - 2023
- [i21]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 abs/2304.13653 (2023) - [i20]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 abs/2312.11374 (2023) - 2022
- [i19]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 abs/2201.11861 (2022) - [i18]Tristan Laidlow, Michael Bloesch, Wenbin Li
Dense RGB-D-Inertial SLAM with Map Deformations. CoRR abs/2207.10940 (2022) - 2021
- [c36]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: 1502-1511 - [i17]William F. Whitney, Michael Bloesch, Jost Tobias Springenberg, Abbas Abdolmaleki, Martin A. Riedmiller:
Rethinking Exploration for Sample-Efficient Policy Learning. CoRR abs/2101.09458 (2021) - 2020
- [c35]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: 1084-1099 - [c34]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: 6884-6890 - [i16]Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. CoRR abs/2002.10342 (2020) - [i15]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 abs/2005.07541 (2020) - [i14]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 abs/2008.12228 (2020)
2010 – 2019
- 2019
- [c33]Titus Cieslewski, Michael Bloesch, Davide Scaramuzza:
Matching Features without Descriptors: Implicitly Matched Interest Points. BMVC 2019: 32 - [c32]Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. CVPR 2019: 11776-11785 - [c31]Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
Learning Meshes for Dense Visual SLAM. ICCV 2019: 5854-5863 - [c30]Charlie Houseago, Michael Bloesch, Stefan Leutenegger:
KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. ICRA 2019: 4054-4060 - [c29]Binbin Xu
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. ICRA 2019: 5231-5237 - [i13]Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations. CoRR abs/1903.06482 (2019) - 2018
- [j10]Michael Burri
A framework for maximum likelihood parameter identification applied on MAVs. J. Field Robotics 35(1): 5-22 (2018) - [j9]Michael Bloesch
The Two-State Implicit Filter Recursive Estimation for Mobile Robots. IEEE Robotics Autom. Lett. 3(1): 573-580 (2018) - [j8]Peter Fankhauser
Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization. IEEE Robotics Autom. Lett. 3(4): 3019-3026 (2018) - [j7]Inkyu Sa
Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone. IEEE Robotics Autom. Mag. 25(1): 89-103 (2018) - [c28]John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. 3DV 2018: 32-41 - [c27]Stephen James, Michael Bloesch, Andrew J. Davison:
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRL 2018: 783-795 - [c26]Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR 2018: 2560-2568 - [c25]Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) 2018: 291-306 - [i12]Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan I. Nieto:
Why and How to Avoid the Flipped Quaternion Multiplication. CoRR abs/1801.07478 (2018) - [i11]Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR abs/1804.00874 (2018) - [i10]John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. CoRR abs/1808.08378 (2018) - [i9]Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. CoRR abs/1809.02966 (2018) - [i8]Stephen James, Michael Bloesch, Andrew J. Davison:
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRR abs/1810.03237 (2018) - [i7]Titus Cieslewski, Michael Bloesch, Davide Scaramuzza:
Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs). CoRR abs/1811.10681 (2018) - [i6]Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. CoRR abs/1812.07976 (2018) - 2017
- [j6]Marco Hutter, Christian Gehring
ANYmal - toward legged robots for harsh environments. Adv. Robotics 31(17): 918-931 (2017) - [j5]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): 1053-1072 (2017) - [c24]Tristan Laidlow
Dense RGB-D-inertial SLAM with map deformations. IROS 2017: 6741-6748 - [i5]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 abs/1708.06652 (2017) - 2016
- [j4]Christian Gehring
Practice Makes Perfect: An Optimization-Based Approach to Controlling Agile Motions for a Quadruped Robot. IEEE Robotics Autom. Mag. 23(1): 34-43 (2016) - [c23]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: 67-82 - [c22]Michael Neunert, Michael Bloesch, Jonas Buchli:
An open source, fiducial based, visual-inertial motion capture system. FUSION 2016: 1523-1530 - [c21]Marco Hutter, Christian Gehring
ANYmal - a highly mobile and dynamic quadrupedal robot. IROS 2016: 38-44 - [c20]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: 2859-2866 - [c19]Michael Burri, Michael Bloesch, Dominik Schindler
Generalized information filtering for MAV parameter estimation. IROS 2016: 3124-3130 - [i4]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 abs/1606.05285 (2016) - [i3]Ankur Handa, Michael Blösch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison:
gvnn: Neural Network Library for Geometric Computer Vision. CoRR abs/1607.07405 (2016) - 2015
- [c18]Peter Fankhauser, Michael Blösch, Diego Rodriguez, Ralf Kaestner, Marco Hutter, Roland Siegwart
Kinect v2 for mobile robot navigation: Evaluation and modeling. ICAR 2015: 388-394 - [c17]Sammy Omari, Michael Blösch, Pascal Gohl, Roland Siegwart
Dense visual-inertial navigation system for mobile robots. ICRA 2015: 2634-2640 - [c16]Michael Blösch, Sammy Omari, Marco Hutter, Roland Siegwart
Robust visual inertial odometry using a direct EKF-based approach. IROS 2015: 298-304 - [c15]Christian Gehring
Dynamic trotting on slopes for quadrupedal robots. IROS 2015: 5129-5135 - [i2]Michael Neunert, Michael Blösch, Jonas Buchli:
An Open Source, Fiducial Based, Visual-Inertial State Estimation System. CoRR abs/1507.02081 (2015) - 2014
- [j3]Marco Hutter, Hannes Sommer, Christian Gehring
Quadrupedal locomotion using hierarchical operational space control. Int. J. Robotics Res. 33(8): 1047-1062 (2014) - [j2]Marco Hutter, Christian Gehring
Toward Combining Speed, Efficiency, Versatility, and Robustness in an Autonomous Quadruped. IEEE Trans. Robotics 30(6): 1427-1440 (2014) - [c14]Marco Hutter, Christian Gehring
Excitation and stabilization of passive dynamics in locomotion using hierarchical operational space control. ICRA 2014: 2977-2982 - [c13]Christian Gehring
Towards automatic discovery of agile gaits for quadrupedal robots. ICRA 2014: 4243-4248 - [c12]Nicholas Rotella, Michael Blösch, Ludovic Righetti
State estimation for a humanoid robot. IROS 2014: 952-958 - [c11]Michael Blösch, Sammy Omari, Peter Fankhauser, Hannes Sommer, Christian Gehring
Fusion of optical flow and inertial measurements for robust egomotion estimation. IROS 2014: 3102-3107 - [i1]Nicholas Rotella, Michael Blösch, Ludovic Righetti, Stefan Schaal:
State Estimation for a Humanoid Robot. CoRR abs/1402.5450 (2014) - 2013
- [c10]Lionel Hertig, Dominik Schindler
Unified state estimation for a ballbot. ICRA 2013: 2471-2476 - [c9]Michael Blösch, Marco Hutter, Christian Gehring
Kinematic batch calibration for legged robots. ICRA 2013: 2542-2547 - [c8]Christian Gehring
Control of dynamic gaits for a quadrupedal robot. ICRA 2013: 3287-3292 - [c7]Mark A. Hoepflinger, Marco Hutter, Christian Gehring
Unsupervised identification and prediction of foothold robustness. ICRA 2013: 3293-3298 - [c6]Peter Fankhauser, Marco Hutter, Christian Gehring
Reinforcement learning of single legged locomotion. IROS 2013: 188-193 - [c5]Michael Blösch, Christian Gehring
State estimation for legged robots on unstable and slippery terrain. IROS 2013: 6058-6064 - [c4]Marco Hutter, Michael Blösch, Jonas Buchli, Claudio Semini
AGILITY - Dynamic full body locomotion and manipulation with autonomous legged robots. SSRR 2013: 1-4 - 2012
- [j1]C. David Remy, Marco Hutter, Mark A. Hoepflinger, Michael Blösch, Christian Gehring
Quadrupedal Robots with Stiff and Compliant Actuation. Autom. 60(11): 682-691 (2012) - [c3]Michael Blösch, Marco Hutter, Mark A. Hoepflinger, Stefan Leutenegger, Christian Gehring, C. David Remy, Roland Siegwart:
State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU. Robotics: Science and Systems 2012 - [c2]Marco Hutter, Mark A. Hoepflinger, Christian Gehring, Michael Blösch, C. David Remy, Roland Siegwart:
Hybrid Operational Space Control for Compliant Legged Systems. Robotics: Science and Systems 2012 - 2010
- [c1]Michael Blösch, Stephan Weiss, Davide Scaramuzza
Vision based MAV navigation in unknown and unstructured environments. ICRA 2010: 21-28
Coauthor Index
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