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Marco Hutter

Marco Hutter

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
21999
World Ranking
614
National Ranking
18

Overview

Marco Hutter is a researcher affiliated with ETH Zurich in Switzerland, with extensive contributions to the fields of engineering and computer science. Their work primarily focuses on robotic locomotion, control, and related areas within robotics and automation.

Their research spans several subfields, including biomedical engineering, computer vision and pattern recognition, control and systems engineering, aerospace engineering, and mechanical engineering. They have contributed significantly to topics such as robotic locomotion and control, robotic path planning algorithms, robotics and sensor-based localization, prosthetics and rehabilitation robotics, robot manipulation and learning, modular robots and swarm intelligence, and reinforcement learning in robotics.

Marco Hutter has published numerous papers in various scientific venues. Notable recent papers include:

  • Learning quadrupedal locomotion over challenging terrain, 2020, Repository for Publications and Research Data (ETH Zurich)
  • Learning robust perceptive locomotion for quadrupedal robots in the wild, 2022, Science Robotics
  • Graph-based subterranean exploration path planning using aerial and legged robots, 2020, Journal of Field Robotics
  • CERBERUS in the DARPA Subterranean Challenge, 2022, Science Robotics
  • Perceptive Locomotion Through Nonlinear Model-Predictive Control, 2023, IEEE Transactions on Robotics

Frequent co-authors collaborating with Marco Hutter include:

  • Farbod Farshidian
  • Shehryar Khattak
  • Marko Bjelonic
  • Lorenz Wellhausen
  • David Hoeller

Marco Hutter has contributed extensively to key publication venues in the field, including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Repository for Publications and Research Data (ETH Zurich)
  • Science Robotics
  • IEEE Transactions on Robotics

Their research output encompasses engineering and computer science disciplines with a particular emphasis on the development of robotic systems capable of complex locomotion and autonomous navigation. Their work often addresses practical challenges in unstructured and difficult environments, advancing methods in control, sensor integration, and learning algorithms within robotics.

Best Publications

  • Learning quadrupedal locomotion over challenging terrain

    Joonho Lee;Jemin Hwangbo;Jemin Hwangbo;Lorenz Wellhausen;Vladlen Koltun

  • Learning agile and dynamic motor skills for legged robots

    Jemin Hwangbo;Joonho Lee;Alexey Dosovitskiy;Dario Bellicoso

  • Learning robust perceptive locomotion for quadrupedal robots in the wild

    Unknown

  • Robust visual inertial odometry using a direct EKF-based approach

    Michael Bloesch;Sammy Omari;Marco Hutter;Roland Siegwart

  • Control of a Quadrotor With Reinforcement Learning

    Jemin Hwangbo;Inkyu Sa;Roland Siegwart;Marco Hutter

  • Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

    Michael Bloesch;Michael Burri;Sammy Omari;Marco Hutter

  • Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization

    Alexander W. Winkler;C. Dario Bellicoso;Marco Hutter;Jonas Buchli

  • ANYmal - a highly mobile and dynamic quadrupedal robot

    Marco Hutter;Christian Gehring;Dominic Jud;Andreas Lauber

  • Kinect v2 for mobile robot navigation: Evaluation and modeling

    Peter Fankhauser;Michael Bloesch;Diego Rodriguez;Ralf Kaestner

  • The current state and future outlook of rescue robotics

    Jeffrey A. Delmerico;Stefano Mintchev;Alessandro Giusti;Boris Gromov

  • ANYmal - toward legged robots for harsh environments

    Marco Hutter;Christian Gehring;Andreas Lauber;Fabian Günther

  • Keep Rollin’—Whole-Body Motion Control and Planning for Wheeled Quadrupedal Robots

    Marko Bjelonic;C. Dario Bellicoso;Yvain de Viragh;Dhionis Sako

  • Starleth: A compliant quadrupedal robot for fast, efficient, and versatile locomotion

    Marco Hutter;Christian Gehring;Michael Bloesch;Mark A. Hoepflinger

  • Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds

    Michael Neunert;Markus Stauble;Markus Giftthaler;Carmine D. Bellicoso

  • Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization

    Peter Fankhauser;Michael Bloesch;Marco Hutter

  • CERBERUS in the DARPA Subterranean Challenge

    Unknown

  • A Universal Grid Map Library: Implementation and Use Case for Rough Terrain Navigation

    Péter Fankhauser;Marco Hutter

  • Perceptive Locomotion Through Nonlinear Model-Predictive Control

    Unknown

  • Per-Contact Iteration Method for Solving Contact Dynamics

    Jemin Hwangbo;Joonho Lee;Marco Hutter

  • State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU

    Unknown

  • State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU

    Michael Bloesch;Marco Hutter;Mark A. Hoepflinger;Stefan Leutenegger

  • Control of dynamic gaits for a quadrupedal robot

    Christian Gehring;Stelian Coros;Marco Hutter;Michael Bloesch

  • ROBOT-CENTRIC ELEVATION MAPPING WITH UNCERTAINTY ESTIMATES

    Péter Fankhauser;Michael Bloesch;Christian Gehring;Marco Hutter

  • Dynamic Locomotion Through Online Nonlinear Motion Optimization for Quadrupedal Robots

    C. Dario Bellicoso;Fabian Jenelten;Christian Gehring;Marco Hutter

  • Navigation planning for legged robots in challenging terrain

    Martin Wermelinger;Peter Fankhauser;Remo Diethelm;Philipp Krusi

Frequent Co-Authors

C. David Remy
C. David Remy University of Stuttgart
Rene Ranftl
Rene Ranftl Intel (United States)
Alexey Dosovitskiy
Alexey Dosovitskiy Google (United States)
Jonas Buchli
Jonas Buchli DeepMind (United Kingdom)
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Kostas Alexis
Kostas Alexis Norwegian University of Science and Technology
Masayuki Inaba
Masayuki Inaba University of Tokyo

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