Florian Bolli
Papers
1
Total Citations
1
H-Index
1
About
Florian Bolli is a rising researcher at the intersection of robotics, control systems, and reconfigurable hardware. His primary focus lies in overcoming the computational bottlenecks that prevent advanced control algorithms from running in real-time on resource-constrained robotic platforms. Bolli’s most cited work, "FPGA Hardware Neural Control of CartPole and F1TENTH Race Car" (2025), tackles this challenge head-on by demonstrating that inexpensive embedded FPGAs can implement Neural Controllers trained to mimic Nonlinear Model Predictive Control (NMPC). This approach dramatically reduces latency and computational cost, making high-performance control feasible for agile systems like autonomous race cars. By bridging the gap between sophisticated control theory and practical hardware deployment, Bolli’s contributions have immediate implications for autonomous driving, drone navigation, and agile robotics. His work stands out for its clear validation on both a classic CartPole benchmark and a real F1TENTH race car platform, showcasing a rare combination of theoretical rigor and hands-on engineering. As his citation count grows, Bolli is establishing himself as a key figure in making neural control practical for the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1FPGA Hardware Neural Control of CartPole and F1TENTH Race Car1 citations · 2025