Victor Klemm

ETH Zurich

Papers

14

Total Citations

625

H-Index

8

About

Victor Klemm is a leading researcher in the field of mobile robotics, specializing in the design, control, and learning of wheeled-legged robots. His most impactful contribution is the creation of **Ascento**, a two-wheeled jumping robot introduced in his 2019 paper (243 citations), which set a new standard for agility and speed in complex indoor environments. Klemm advanced this platform with **LQR-Assisted Whole-Body Control** (179 citations), providing a hierarchical framework that leverages full rigid body dynamics to manage kinematic loops and rolling constraints. His work bridges classical control and modern reinforcement learning (RL), as seen in his highly cited 2023 paper on **Advanced Skills through Multiple Adversarial Motion Priors** (78 citations), which reduces the need for tedious reward tuning by using imitation learning. Klemm has also tackled critical challenges like **blind stair climbing** (22 citations) and **nonsmooth trajectory optimization** (20 citations), enabling wheeled-legged robots to overcome obstacles that previously limited their real-world deployment. With a comprehensive **survey of wheeled-legged robots** (30 citations) and recent explorations into **symmetry-aware RL policies** and **constrained RL for quadrupedal locomotion**, Klemm’s work is shaping the next generation of agile, autonomous robots for inspection, navigation, and beyond.

Research Focus

Key Achievements

8
H-Index
14
Papers
625
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Ascento: A Two-Wheeled Jumping Robot
243 citations · 2019
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: ETH Zurich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago