Marco Hutter
ETH Zurich, École Polytechnique Fédérale de Lausanne, Robotic Research (United States), Union Bank of Switzerland, Autonomous Healthcare, Robotic Technology (United States), Institute of Robotics, Board of the Swiss Federal Institutes of Technology, Landscape Institute, ZTE (United States), Universidade de São Paulo, Robotics Research (United States), Indira Gandhi Centre for Atomic Research
Papers
290
Total Citations
17,343
H-Index
69
About
Marco Hutter is a pioneering roboticist whose work has fundamentally advanced the field of legged locomotion and autonomous mobile robotics. Best known for creating **ANYmal**, a highly dynamic quadrupedal robot, Hutter has demonstrated that machines can achieve agile, animal-like movement through innovative compliant joint design and torque-controllable actuation — work that has garnered over 1,100 combined citations across its publications. His research spans reinforcement learning for motor control, trajectory optimization, terrain mapping, and perceptive locomotion, establishing him as a central figure in making legged robots practical for real-world deployment. A landmark contribution came with his 2019 paper on learning agile motor skills for legged robots (1,398 citations), which showed that reinforcement learning could surpass hand-crafted control methods, enabling robots to perform previously unachievable dynamic maneuvers. His subsequent work on robust perceptive locomotion in unstructured environments (729 citations) pushed these systems further into hazardous field applications, a vision reinforced by his contributions to rescue robotics. Supporting all this is foundational infrastructure work in terrain mapping and sensor modeling that has enabled reliable autonomous navigation. With over 5,000 cumulative citations across his key papers, Hutter's research continues to shape the trajectory of mobile robotics worldwide.
Research Focus
Key Achievements
Top Papers
- 1Learning agile and dynamic motor skills for legged robots1,398 citations · 2019
- 2ANYmal - a highly mobile and dynamic quadrupedal robot864 citations · 2016
- 3Learning robust perceptive locomotion for quadrupedal robots in the wild729 citations · 2022
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- 5The current state and future outlook of rescue robotics361 citations · 2019
- 6ANYmal - toward legged robots for harsh environments330 citations · 2017
- 7Kinect v2 for mobile robot navigation: Evaluation and modeling315 citations · 2015
- 8Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization301 citations · 2018
- 9ANYmal - A Highly Mobile and Dynamic Quadrupedal Robot267 citations · 2016
- 10