Fadri Furrer
Papers
13
Total Citations
578
H-Index
9
About
Fadri Furrer is a robotics researcher whose work spans autonomous navigation, robotic manipulation, environmental perception, and control systems. He is perhaps best known for his highly influential 2016 paper on nonlinear Model Predictive Control, which introduced a unified framework combining trajectory optimization and tracking control in real time — a contribution that has since garnered over 200 citations and become a foundational reference in mobile robotics and aerial vehicle control. Furrer has made significant strides in long-term robot autonomy, developing novel 3D reconstruction algorithms using extended Truncated Signed Distance Functions (TSDF) to help robots detect and adapt to environmental changes over time. His work on autonomous robotic construction — enabling robots to stack irregular stones found on-site — demonstrates a creative push toward deploying robots in unstructured, real-world settings. Furrer has also advanced robotic manipulation through deep reinforcement learning, exploring sim-to-real transfer and interactive perception for object finding in cluttered environments. With cumulative citations exceeding 500 across diverse topics, his research consistently bridges theoretical rigor with practical application, making him a notable contributor to the field of intelligent, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Object Finding in Cluttered Scenes Using Interactive Perception64 citations · 2020
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- 9VersaVIS—an open versatile multi-camera visual-inertial sensor suite15 citations · 2020
- 10Object Finding in Cluttered Scenes Using Interactive Perception6 citations · 2019