Daniel Dueri
Papers
1
Total Citations
46
H-Index
1
About
Daniel Dueri is a leading researcher in autonomous systems, with a primary focus on real-time motion planning and control for agile aerial robots. His work addresses the fundamental challenge of enabling quadrotors to perform aggressive maneuvers while avoiding obstacles, a problem that is inherently non-convex and computationally demanding. Dueri’s major contribution lies in the application of lossless and successive convexification techniques, which transform these complex, non-convex problems into solvable convex optimization forms. This breakthrough allows for real-time, on-board computation, making it possible for drones to react dynamically to their environment without relying on pre-computed paths or off-board processing. His seminal 2017 paper on this topic has garnered 46 citations, underscoring its influence in the field of robotics and control. By bridging the gap between theoretical optimization and practical, on-board implementation, Dueri’s work has paved the way for more autonomous, responsive, and safer aerial vehicles, with direct applications in search-and-rescue, inspection, and high-speed drone racing.
Research Focus
Key Achievements
Top Papers
- 1