Dominic Jud
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
Top Papers
- 1ANYmal - a highly mobile and dynamic quadrupedal robot864 citations · 2016
- 2ANYmal - A Highly Mobile and Dynamic Quadrupedal Robot267 citations · 2016
- 3HEAP - The autonomous walking excavator76 citations · 2021
- 4Autonomous dry stone60 citations · 2020
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- 7Robotic embankment19 citations · 2021
- 8
- 9Towards Autonomous Robotic Precision Harvesting.3 citations · 2021
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