Victor Klemm
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
Top Papers
- 1Ascento: A Two-Wheeled Jumping Robot243 citations · 2019
- 2LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot With Kinematic Loops179 citations · 2020
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- 4A Survey of Wheeled-Legged Robots30 citations · 2022
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- 7Symmetry Considerations for Learning Task Symmetric Robot Policies15 citations · 2024
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