Papers

11

Total Citations

1,363

H-Index

7

About

Dominic Jud is a robotics researcher whose work sits at the intersection of legged locomotion, autonomous construction, and field robotics. He is perhaps best known as a key contributor to the development of ANYmal, the influential quadrupedal robot introduced in 2016 that has since become a landmark platform in dynamic legged robotics. ANYmal's torque-controllable, compliant joint architecture enabled unprecedented robustness during dynamic maneuvers, and the foundational papers describing it have amassed over 1,100 citations combined — a testament to their field-defining impact. Beyond legged locomotion, Jud has made substantial contributions to autonomous construction robotics. His work on HEAP, an autonomous walking excavator, and associated research into robotic dry stone construction and embankment building demonstrates a sustained effort to bring intelligent machines into real-world construction environments. These projects tackle not only automation but also sustainability, leveraging on-site materials to reduce carbon footprints. More recently, Jud has expanded into precision forestry, developing systems for autonomous legged harvesters operating in GPS-denied environments. Across these diverse domains, his research consistently bridges mechanical innovation with sophisticated autonomy, making him a distinctive and impactful voice in modern field robotics.

Research Focus

Key Achievements

7
H-Index
11
Papers
1,363
Total Citations
124
Avg Citations/Paper
🏆 Most Cited Paper
ANYmal - a highly mobile and dynamic quadrupedal robot
864 citations · 2016
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: ETH Zurich, École Polytechnique Fédérale de Lausanne

Top Papers

  1. 1
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    Autonomous dry stone
    60 citations · 2020
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    Robotic embankment
    19 citations · 2021
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago