Scholar
Laura Ferranti
Google Scholar ID: OnvAvn0AAAAJ
Delft University of Technology
Citations & Impact
Citations
1,127
H-index
17
i10-index
21
Publications
20
Co-authors
34
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Academic achievements are reflected in advancing the science of reliable autonomy and contributing to the community through open-source projects such as EAGERx and DART.
Research Experience
- Research experience focuses on developing algorithms and tools to improve the safe, intelligent, and reliable movement of robots in the real world; cross-platform research spanning from autonomous cars and vessels to drones and manipulators.
Background
- Research interests: Reliable autonomy; Fields of expertise include control theory, motion planning, machine learning, and cybersecurity.
Miscellany
- The lab promotes values of open science, collaboration, and education; dedicated to training the next generation of engineers in critical thinking about safety and trust.
