Michael Bloesch

6.7k total citations · 4 hit papers
53 papers, 4.2k citations indexed

About

Michael Bloesch is a scholar working on Biomedical Engineering, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Michael Bloesch has authored 53 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 21 papers in Aerospace Engineering and 20 papers in Control and Systems Engineering. Recurrent topics in Michael Bloesch's work include Robotic Locomotion and Control (31 papers), Prosthetics and Rehabilitation Robotics (17 papers) and Robotics and Sensor-Based Localization (17 papers). Michael Bloesch is often cited by papers focused on Robotic Locomotion and Control (31 papers), Prosthetics and Rehabilitation Robotics (17 papers) and Robotics and Sensor-Based Localization (17 papers). Michael Bloesch collaborates with scholars based in Switzerland, United Kingdom and United States. Michael Bloesch's co-authors include Marco Hutter, Roland Siegwart, Sammy Omari, Christian Gehring, Péter Fankhauser, Mark A. Hoepflinger, Stefan Leutenegger, C. Dario Bellicoso, Andrew J. Davison and Michael Burri and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and IEEE Robotics & Automation Magazine.

In The Last Decade

Michael Bloesch

53 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ANYmal - a highly mobile and dynamic quadrupedal robot

2016 597 citations Marco Hutter, Christian Gehring et al. profile →
Robust visual inertial odometry using a direct EKF-based approach

2015 574 citations Michael Bloesch, Marco Hutter et al. profile →
Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

2017 320 citations Michael Bloesch, Michael Burri et al. profile →
Robust Visual Inertial Odometry Using a Direct EKF-Based Approach

2015 287 citations Michael Bloesch, Marco Hutter et al. Repository for Publications and Research Data (ETH Zurich) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Bloesch Switzerland	25	2.2k	1.9k	1.8k	942	627	53	4.2k
Olivier Stasse France	22	2.7k 1.2×	1.1k 0.6×	2.7k 1.5×	896 1.0×	624 1.0×	89	4.3k
Maurice Fallon United Kingdom	30	1.6k 0.7×	1.0k 0.5×	1.3k 0.7×	622 0.7×	496 0.8×	96	3.5k
Jizhong Xiao United States	26	1.4k 0.6×	586 0.3×	1.3k 0.7×	567 0.6×	236 0.4×	154	3.2k
Oskar von Stryk Germany	24	1.2k 0.5×	1.1k 0.6×	902 0.5×	1.1k 1.2×	153 0.2×	198	3.4k
Rafael Muñoz‐Salinas Spain	20	1.3k 0.6×	507 0.3×	2.2k 1.2×	466 0.5×	374 0.6×	77	3.5k
Ryo Kurazume Japan	27	916 0.4×	788 0.4×	1.2k 0.7×	539 0.6×	211 0.3×	247	2.6k
Rong Xiong China	24	1.0k 0.5×	560 0.3×	1.0k 0.6×	636 0.7×	276 0.4×	291	2.5k
Keiji Nagatani Japan	34	1.6k 0.7×	1.2k 0.7×	1.7k 1.0×	1.2k 1.2×	124 0.2×	197	4.2k
Manuel J. Marín‐Jiménez Spain	21	853 0.4×	728 0.4×	2.5k 1.4×	370 0.4×	256 0.4×	65	3.5k
Edwin Olson United States	28	2.2k 1.0×	286 0.2×	2.2k 1.2×	697 0.7×	479 0.8×	72	4.2k

Countries citing papers authored by Michael Bloesch

Since Specialization

Citations

This map shows the geographic impact of Michael Bloesch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Bloesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bloesch more than expected).

Fields of papers citing papers by Michael Bloesch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Bloesch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Bloesch. The network helps show where Michael Bloesch may publish in the future.

Co-authorship network of co-authors of Michael Bloesch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bloesch. A scholar is included among the top collaborators of Michael Bloesch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Bloesch. Michael Bloesch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lampe, Thomas, Abbas Abdolmaleki, Sandy H. Huang, et al.. (2024). Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. 5. 7772–7779. 1 indexed citations

Bloesch, Michael, Jan Humplik, Viorica Pătrăucean, et al.. (2021). Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion. 2 indexed citations

Zhi, Shuaifeng, Michael Bloesch, Stefan Leutenegger, & Andrew J. Davison. (2019). SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. 11768–11777. 45 indexed citations

Bloesch, Michael, et al.. (2019). KO-Fusion: Dense Visual SLAM with Tightly-Coupled Kinematic and Odometric Tracking. Spiral (Imperial College London). 4054–4060. 13 indexed citations

Xu, Binbin, Wenbin Li, Dimos Tzoumanikas, et al.. (2019). MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. Spiral (Imperial College London). 5231–5237. 150 indexed citations

Fankhauser, Péter, Michael Bloesch, & Marco Hutter. (2018). Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization. IEEE Robotics and Automation Letters. 3(4). 3019–3026. 188 indexed citations

Cieslewski, Titus, Michael Bloesch, & Davide Scaramuzza. (2018). Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs).. arXiv (Cornell University). 32. 3 indexed citations

McCormac, John, Ronald Clark, Michael Bloesch, Andrew J. Davison, & Stefan Leutenegger. (2018). Fusion++: Volumetric Object-Level SLAM. Spiral (Imperial College London). 32–41. 197 indexed citations

Bloesch, Michael, Michael Burri, Hannes Sommer, Roland Siegwart, & Marco Hutter. (2017). The Two-State Implicit Filter Recursive Estimation for Mobile Robots. IEEE Robotics and Automation Letters. 3(1). 573–580. 36 indexed citations

10.

Laidlow, Tristan, Michael Bloesch, Wenbin Li, & Stefan Leutenegger. (2017). Dense RGB-D-inertial SLAM with map deformations. 6741–6748. 43 indexed citations

11.

Burri, Michael, Michael Bloesch, Zachary Taylor, Roland Siegwart, & Juan Nieto. (2017). A framework for maximum likelihood parameter identification applied on MAVs. Journal of Field Robotics. 35(1). 5–22. 22 indexed citations

12.

Fankhauser, Péter, et al.. (2016). Foot Contact Estimation for Legged Robots in Rough Terrain. Repository for Publications and Research Data (ETH Zurich). 395–403. 7 indexed citations

13.

Gehring, Christian, Stelian Coros, Marco Hutter, et al.. (2016). Practice Makes Perfect: An Optimization-Based Approach to Controlling Agile Motions for a Quadruped Robot. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

14.

Hutter, Marco, Christian Gehring, Dominic Jud, et al.. (2016). ANYmal - a highly mobile and dynamic quadrupedal robot. 38–44. 597 indexed citations breakdown →

15.

Gehring, Christian, Stelian Coros, Marco Hutter, et al.. (2014). Towards Automatic Discovery of Agile Gaits for Quadrupedal Robots. Repository for Publications and Research Data (ETH Zurich). 18 indexed citations

16.

Bloesch, Michael, Christian Gehring, Péter Fankhauser, et al.. (2013). State estimation for legged robots on unstable and slippery terrain. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6058–6064. 102 indexed citations

17.

Hutter, Marco, Michael Bloesch, Jonas Buchli, et al.. (2013). AGILITY: Dynamic Full Body Locomotion and Manipulation with Autonomous Legged Robots. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

18.

Fankhauser, Péter, Marco Hutter, Christian Gehring, et al.. (2013). Reinforcement learning of single legged locomotion. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 188–193. 26 indexed citations

19.

Bloesch, Michael, et al.. (2013). Unified state estimation for a ballbot. 2471–2476. 22 indexed citations

20.

Bloesch, Michael, Marco Hutter, Mark A. Hoepflinger, et al.. (2012). State Estimation for Legged Robots: Consistent Fusion of Leg Kinematics and IMU. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact