Remo Diethelm
Papers
11
Total Citations
1,652
H-Index
9
About
Remo Diethelm is a leading roboticist whose work has been instrumental in advancing the capabilities of legged locomotion, particularly through the development of the ANYmal quadrupedal robot. His key research areas span dynamic motion control, navigation in challenging terrain, and collaborative multi-robot systems. Diethelm’s most significant contribution is the design and introduction of ANYmal, a highly mobile, torque-controllable robotic dog that is remarkably robust to impulsive loads during running and jumping. This foundational work has garnered over 1,100 combined citations, establishing ANYmal as a benchmark platform in the field. He further extended the robot’s autonomy by developing a framework for planning safe, efficient paths in rough, unstructured environments, enabling legged robots to exploit their unique obstacle-negotiation abilities. His optimization-based approach to controlling agile motions, which fine-tunes parameters through repeated practice, has been cited over 100 times. Diethelm has also pioneered collaborative navigation strategies for heterogeneous teams of flying and walking robots, leveraging their complementary strengths for industrial inspection and search-and-rescue missions. His work on coverage path planning for autonomous exploration in unknown environments rounds out a portfolio that has profoundly shaped modern legged 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
- 3Navigation planning for legged robots in challenging terrain201 citations · 2016
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- 5Navigation Planning for Legged Robots in Challenging Terrain82 citations · 2016
- 6Collaborative navigation for flying and walking robots43 citations · 2016
- 7Towards a Generic Solution for Inspection of Industrial Sites36 citations · 2017
- 8Collaborative Navigation for Flying and Walking Robots18 citations · 2016
- 9Coverage path planning for legged robots in unknown environments16 citations · 2016
- 10