Martin Rutschmann

ETH Zurich, University of California, Santa Barbara

Papers

2

Total Citations

63

H-Index

2

About

Martin Rutschmann is a leading researcher in legged robotics, with a primary focus on achieving robust, dynamic locomotion over rough terrain. His work centers on the intersection of nonlinear control theory and mechanical design, specifically for high-speed hopping and running robots. Rutschmann’s most significant contribution is the development and experimental validation of a limited look-ahead model predictive control strategy for spring-loaded inverted pendulum (SLIP) runners. His seminal 2012 paper (51 citations) rigorously quantified how a controller with only short-horizon terrain knowledge can stabilize a hopping robot on uneven ground, bridging the gap between idealized models and real-world performance. To test this theory, he co-developed a series-elastic actuation prototype (12 citations), a physical platform that demonstrated the viability of his control approach. This work is notable for advancing the practical feasibility of fast, agile legged locomotion without requiring complete environmental awareness—a key step toward deploying robots in unstructured outdoor settings. Rutschmann’s research remains a touchstone for engineers working on energetically efficient, terrain-adaptive running gaits.

Research Focus

Key Achievements

2
H-Index
2
Papers
63
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear model predictive control for rough-terrain robot hopping
51 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: ETH Zurich, University of California, Santa Barbara

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago