Papers
55
Total Citations
4,489
H-Index
25
About
Michael Bloesch is a prominent robotics researcher whose work sits at the intersection of legged robotics, state estimation, and autonomous navigation. Best known for his foundational contributions to the ANYmal quadrupedal robot platform — which has accumulated over 1,400 citations across multiple publications — Bloesch helped pioneer the development of compliant, torque-controllable robotic systems capable of robust dynamic locomotion in challenging real-world environments. His 2016 ANYmal paper alone has garnered 864 citations, establishing it as a landmark reference in legged robotics. Beyond hardware, Bloesch has made significant contributions to the algorithmic side of mobile robotics. His 2013 work on state estimation for legged robots introduced an Observability Constrained Extended Kalman Filter that elegantly fuses leg kinematics with IMU data, earning over 246 citations. He has also advanced probabilistic terrain mapping under uncertain localization conditions and contributed to dynamic SLAM systems, including the innovative MID-Fusion approach for object-level scene understanding. Earlier work on the StarlETH quadruped further demonstrates his long-standing commitment to versatile, efficient locomotion. Across these domains, Bloesch's research has profoundly shaped how robots perceive, map, and move through unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1ANYmal - a highly mobile and dynamic quadrupedal robot864 citations · 2016
- 2ANYmal - toward legged robots for harsh environments330 citations · 2017
- 3Kinect v2 for mobile robot navigation: Evaluation and modeling315 citations · 2015
- 4Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization301 citations · 2018
- 5ANYmal - A Highly Mobile and Dynamic Quadrupedal Robot267 citations · 2016
- 6State Estimation for Legged Robots: Consistent Fusion of Leg Kinematics and IMU246 citations · 2013
- 7
- 8MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM211 citations · 2019
- 9Control of dynamic gaits for a quadrupedal robot202 citations · 2013
- 10