Vision based MAV navigation in unknown and unstructured environments. - Michael Blösch; Stephan Weiss 002; Davide Scaramuzza 001; Roland Siegwart (ICRA, 2010)

State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU. - Michael Blösch; Marco Hutter 001; Mark A. Hoepflinger; Stefan Leutenegger; Christian Gehring; C. David Remy; Roland Siegwart (Robotics: Science and Systems, 2012)

Hybrid Operational Space Control for Compliant Legged Systems. - Marco Hutter 001; Mark A. Hoepflinger; Christian Gehring; Michael Blösch; C. David Remy; Roland Siegwart (Robotics: Science and Systems, 2012)

Quadrupedal Robots with Stiff and Compliant Actuation. - C. David Remy; Marco Hutter 001; Mark A. Hoepflinger; Michael Blösch; Christian Gehring; Roland Siegwart (Autom., 2012)

Kinematic batch calibration for legged robots. - Michael Blösch; Marco Hutter 001; Christian Gehring; Mark A. Höpflinger; Roland Siegwart (ICRA, 2013)

Control of dynamic gaits for a quadrupedal robot. - Christian Gehring; Stelian Coros; Marco Hutter 001; Michael Blösch; Mark A. Hoepflinger; Roland Siegwart (ICRA, 2013)

Unified state estimation for a ballbot. - Lionel Hertig; Dominik Schindler; Michael Blösch; C. David Remy; Roland Siegwart (ICRA, 2013)

Unsupervised identification and prediction of foothold robustness. - Mark A. Hoepflinger; Marco Hutter 001; Christian Gehring; Michael Blösch; Roland Siegwart (ICRA, 2013)

State estimation for legged robots on unstable and slippery terrain. - Michael Blösch; Christian Gehring; Peter Fankhauser; Marco Hutter 001; Mark A. Hoepflinger; Roland Siegwart (IROS, 2013)

Reinforcement learning of single legged locomotion. - Peter Fankhauser; Marco Hutter 001; Christian Gehring; Michael Blösch; Mark A. Hoepflinger; Roland Siegwart (IROS, 2013)

AGILITY - Dynamic full body locomotion and manipulation with autonomous legged robots. - Marco Hutter 001; Michael Blösch; Jonas Buchli; Claudio Semini; Stéphane Bazeille; Ludovic Righetti; Jeannette Bohg (SSRR, 2013)

Towards automatic discovery of agile gaits for quadrupedal robots. - Christian Gehring; Stelian Coros; Marco Hutter 001; Michael Blösch; Peter Fankhauser; Markus A. Höpflinger; Roland Siegwart (ICRA, 2014)

Excitation and stabilization of passive dynamics in locomotion using hierarchical operational space control. - Marco Hutter 001; Christian Gehring; Michael Blösch; Mark A. Höpflinger; Peter Fankhauser; Roland Siegwart (ICRA, 2014)

Fusion of optical flow and inertial measurements for robust egomotion estimation. - Michael Blösch; Sammy Omari; Peter Fankhauser; Hannes Sommer; Christian Gehring; Jemin Hwangbo; Mark A. Hoepflinger; Marco Hutter 001; Roland Siegwart (IROS, 2014)

State estimation for a humanoid robot. - Nicholas Rotella; Michael Blösch; Ludovic Righetti; Stefan Schaal (IROS, 2014)

Quadrupedal locomotion using hierarchical operational space control. - Marco Hutter 001; Hannes Sommer; Christian Gehring; Mark A. Hoepflinger; Michael Blösch; Roland Siegwart (Int. J. Robotics Res., 2014)

Toward Combining Speed, Efficiency, Versatility, and Robustness in an Autonomous Quadruped. - Marco Hutter 001; Christian Gehring; Mark A. Höpflinger; Michael Blösch; Roland Siegwart (IEEE Trans. Robotics, 2014)

Kinect v2 for mobile robot navigation: Evaluation and modeling. - Peter Fankhauser; Michael Blösch; Diego Rodriguez; Ralf Kaestner; Marco Hutter 001; Roland Siegwart (ICAR, 2015)

Dense visual-inertial navigation system for mobile robots. - Sammy Omari; Michael Blösch; Pascal Gohl; Roland Siegwart (ICRA, 2015)

Robust visual inertial odometry using a direct EKF-based approach. - Michael Blösch; Sammy Omari; Marco Hutter 001; Roland Siegwart (IROS, 2015)

Dynamic trotting on slopes for quadrupedal robots. - Christian Gehring; C. Dario Bellicoso; Stelian Coros; Michael Blösch; Peter Fankhauser; Marco Hutter 001; Roland Siegwart (IROS, 2015)

An Open Source, Fiducial Based, Visual-Inertial State Estimation System. - Michael Neunert; Michael Blösch; Jonas Buchli (CoRR, 2015)

gvnn: Neural Network Library for Geometric Computer Vision. - Ankur Handa; Michael Bloesch; Viorica Patraucean; Simon Stent; John McCormac; Andrew J. Davison (ECCV Workshops (3), 2016)

An open source, fiducial based, visual-inertial motion capture system. - Michael Neunert; Michael Bloesch; Jonas Buchli (FUSION, 2016)

Generalized information filtering for MAV parameter estimation. - Michael Burri; Michael Bloesch; Dominik Schindler; Igor Gilitschenski; Zachary Taylor; Roland Siegwart (IROS, 2016)

Collaborative navigation for flying and walking robots. - Peter Fankhauser; Michael Bloesch; Philipp Krusi; Remo Diethelm; Martin Wermelinger; Thomas Schneider 007; Marcin Dymczyk; Marco Hutter 001; Roland Siegwart (IROS, 2016)

ANYmal - a highly mobile and dynamic quadrupedal robot. - Marco Hutter 001; Christian Gehring; Dominic Jud; Andreas Lauber; C. Dario Bellicoso; Vassilios Tsounis; Jemin Hwangbo; Karen Bodie; Peter Fankhauser; Michael Bloesch; Remo Diethelm; Samuel Bachmann; et al. (IROS, 2016)

A Primer on the Differential Calculus of 3D Orientations. - Michael Bloesch; Hannes Sommer; Tristan Laidlow; Michael Burri; Gabriel Nützi; Peter Fankhauser; Dario Bellicoso; Christian Gehring; Stefan Leutenegger; Marco Hutter 001; Roland Siegwart (CoRR, 2016)

Practice Makes Perfect: An Optimization-Based Approach to Controlling Agile Motions for a Quadruped Robot. - Christian Gehring; Stelian Coros; Marco Hutter 001; Carmine Dario Bellicoso; Huub Heijnen; Remo Diethelm; Michael Bloesch; Peter Fankhauser; Jemin Hwangbo; Mark A. Hoepflinger; Roland Siegwart (IEEE Robotics Autom. Mag., 2016)

Dense RGB-D-inertial SLAM with map deformations. - Tristan Laidlow; Michael Bloesch; Wenbin Li 002; Stefan Leutenegger (IROS, 2017)

ANYmal - toward legged robots for harsh environments. - Marco Hutter 001; Christian Gehring; Andreas Lauber; Fabian Günther; Carmine Dario Bellicoso; Vassilios Tsounis; Peter Fankhauser; Remo Diethelm; Samuel Bachmann; Michael Blösch; Hendrik Kolvenbach; Marko Bjelonic; et al. (Adv. Robotics, 2017)

Build your own visual-inertial odometry aided cost-effective and open-source autonomous drone. - Inkyu Sa; Mina Kamel; Michael Burri; Michael Bloesch; Raghav Khanna; Marija Popovic; Juan I. Nieto 001; Roland Siegwart (CoRR, 2017)

Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback. - Michael Bloesch; Michael Burri; Sammy Omari; Marco Hutter 001; Roland Siegwart (Int. J. Robotics Res., 2017)

Fusion++: Volumetric Object-Level SLAM. - John McCormac; Ronald Clark; Michael Bloesch; Andrew J. Davison; Stefan Leutenegger (3DV, 2018)

Task-Embedded Control Networks for Few-Shot Imitation Learning. - Stephen James; Michael Bloesch; Andrew J. Davison (CoRL, 2018)

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. - Michael Bloesch; Jan Czarnowski; Ronald Clark; Stefan Leutenegger; Andrew J. Davison (CVPR, 2018)

Learning to Solve Nonlinear Least Squares for Monocular Stereo. - Ronald Clark; Michael Bloesch; Jan Czarnowski; Stefan Leutenegger; Andrew J. Davison (ECCV (8), 2018)

Why and How to Avoid the Flipped Quaternion Multiplication. - Hannes Sommer; Igor Gilitschenski; Michael Bloesch; Stephan Weiss 002; Roland Siegwart; Juan I. Nieto 001 (CoRR, 2018)

LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. - Ronald Clark; Michael Bloesch; Jan Czarnowski; Stefan Leutenegger; Andrew J. Davison (CoRR, 2018)

Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs). - Titus Cieslewski; Michael Bloesch; Davide Scaramuzza 001 (CoRR, 2018)

A framework for maximum likelihood parameter identification applied on MAVs. - Michael Burri; Michael Bloesch; Zachary Taylor; Roland Siegwart; Juan I. Nieto 001 (J. Field Robotics, 2018)

The Two-State Implicit Filter Recursive Estimation for Mobile Robots. - Michael Bloesch; Michael Burri; Hannes Sommer; Roland Siegwart; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2018)

Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization. - Peter Fankhauser; Michael Bloesch; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2018)

Build Your Own Visual-Inertial Drone: A Cost-Effective and Open-Source Autonomous Drone. - Inkyu Sa; Mina Kamel; Michael Burri; Michael Bloesch; Raghav Khanna; Marija Popovic; Juan I. Nieto 001; Roland Siegwart (IEEE Robotics Autom. Mag., 2018)

Matching Features without Descriptors: Implicitly Matched Interest Points. - Titus Cieslewski; Michael Bloesch; Davide Scaramuzza 001 (BMVC, 2019)

SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. - Shuaifeng Zhi; Michael Bloesch; Stefan Leutenegger; Andrew J. Davison (CVPR, 2019)

Learning Meshes for Dense Visual SLAM. - Michael Bloesch; Tristan Laidlow; Ronald Clark; Stefan Leutenegger; Andrew J. Davison (ICCV, 2019)

KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. - Charlie Houseago; Michael Bloesch; Stefan Leutenegger (ICRA, 2019)

MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. - Binbin Xu 001; Wenbin Li 002; Dimos Tzoumanikas; Michael Bloesch; Andrew J. Davison; Stefan Leutenegger (ICRA, 2019)

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. - Roland Hafner; Tim Hertweck; Philipp Klöppner; Michael Bloesch; Michael Neunert; Markus Wulfmeier; Saran Tunyasuvunakool; Nicolas Heess; Martin A. Riedmiller (CoRL, 2020)

Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. - Zoe Landgraf; Fabian Falck; Michael Bloesch; Stefan Leutenegger; Andrew J. Davison (ICRA, 2020)

Simple Sensor Intentions for Exploration. - Tim Hertweck; Martin A. Riedmiller; Michael Bloesch; Jost Tobias Springenberg; Noah Y. Siegel; Markus Wulfmeier; Roland Hafner; Nicolas Heess (CoRR, 2020)

Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. - 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; et al. (CoRL, 2021)

Rethinking Exploration for Sample-Efficient Policy Learning. - William F. Whitney; Michael Bloesch; Jost Tobias Springenberg; Abbas Abdolmaleki; Martin A. Riedmiller (CoRR, 2021)

The Challenges of Exploration for Offline Reinforcement Learning. - Nathan Lambert 001; Markus Wulfmeier; William F. Whitney; Arunkumar Byravan; Michael Bloesch; Vibhavari Dasagi; Tim Hertweck; Martin A. Riedmiller (CoRR, 2022)

Offline Actor-Critic Reinforcement Learning Scales to Large Models. - Jost Tobias Springenberg; Abbas Abdolmaleki; Jingwei Zhang 001; Oliver Groth; Michael Bloesch; Thomas Lampe; Philemon Brakel; Sarah Bechtle; Steven Kapturowski; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (ICML, 2024)

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. - 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 001; et al. (ICRA, 2024)

Imitating Language via Scalable Inverse Reinforcement Learning. - Markus Wulfmeier; Michael Bloesch; Nino Vieillard; Arun Ahuja; Jörg Bornschein; Sandy H. Huang; Artem Sokolov; Matt Barnes 001; Guillaume Desjardins; Alex Bewley; Sarah Bechtle; Jost Tobias Springenberg; et al. (NeurIPS, 2024)

Preference Optimization as Probabilistic Inference. - 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 (CoRR, 2024)

Learning agile soccer skills for a bipedal robot with deep reinforcement learning. - 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; et al. (Sci. Robotics, 2024)

Data Release for: Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning. - 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; et al. (Zenodo, 2024)

Learning from negative feedback, or positive feedback or both. - Abbas Abdolmaleki; Bilal Piot; Bobak Shahriari; Jost Tobias Springenberg; Tim Hertweck; Michael Bloesch; Rishabh Joshi; Thomas Lampe; Junhyuk Oh; Nicolas Heess; Jonas Buchli; Martin A. Riedmiller (ICLR, 2025)

Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement. - Michael Bloesch; Markus Wulfmeier; Philemon Brakel; Todor Davchev; Martina Zambelli; Jost Tobias Springenberg; Abbas Abdolmaleki; William F. Whitney; Nicolas Heess; Roland Hafner; Martin A. Riedmiller (CoRR, 2025)