Jon Zehnder

ETH Zurich

Papers

1

Total Citations

10

H-Index

1

About

Jon Zehnder is a roboticist whose work tackles the fundamental challenge of mobility and stability in autonomous systems. His research centers on the design, motion planning, and control of reconfigurable robotic platforms, with a particular focus on creating machines that can dynamically adapt their morphology to navigate complex, cluttered environments. Zehnder’s most cited work, "Design and Motion Planning for a Reconfigurable Robotic Base" (2022, 10 citations), directly addresses the classic trade-off between a compact footprint for tight spaces and a wide, stable stance for high-speed or manipulative tasks. By developing a base that can physically reshape itself on the fly, he has introduced a novel approach to preventing tumbling during fast maneuvers—a critical safety and performance issue in mobile manipulation. This contribution has implications for everything from warehouse logistics to disaster response, where robots must be both agile and robust. Zehnder’s work exemplifies how thoughtful mechanical design, paired with intelligent planning algorithms, can unlock new capabilities in field robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Design and Motion Planning for a Reconfigurable Robotic Base
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: ETH Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago