Florian Tschopp
Papers
8
Total Citations
336
H-Index
4
About
Florian Tschopp is a robotics researcher whose work sits at the intersection of agile locomotion, multi-modal perception, and autonomous manipulation. He is best known as the lead creator of **Ascento**, a two-wheeled jumping robot that redefines mobility for indoor inspection—achieving over **243 citations** for its breakthrough in combining high-speed ground travel with dynamic hopping capabilities. Tschopp’s contributions extend deeply into **Simultaneous Localization and Mapping (SLAM)** and sensor fusion. His work on **maplab 2.0** (57 citations) established a modular framework for integrating multiple sensor modalities, a critical step toward robust autonomy in challenging environments. He also pioneered **VersaVIS**, an open-source multi-camera visual-inertial sensor suite, and developed novel **deep reinforcement learning** methods to automate the calibration of visual-inertial systems—replacing tedious manual routines with learned motion policies. More recently, Tschopp has explored cost-effective perception with **VIRUS-NeRF**, fusing vision, infrared, and ultrasonic data into neural radiance fields for safer factory navigation. His work on **Go Fetch** further demonstrates his commitment to real-world impact, advancing mobile manipulation in unstructured settings. With a portfolio spanning from hardware design to learning-based calibration, Tschopp is shaping the next generation of capable, agile, and perceptive robots.
Research Focus
Key Achievements
Top Papers
- 1Ascento: A Two-Wheeled Jumping Robot243 citations · 2019
- 2maplab 2.0 – A Modular and Multi-Modal Mapping Framework57 citations · 2022
- 3VersaVIS—an open versatile multi-camera visual-inertial sensor suite15 citations · 2020
- 4Go Fetch: Mobile Manipulation in Unstructured Environments12 citations · 2020
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