Papers
4
Total Citations
61
H-Index
4
About
Vivien Delsart is a robotics researcher whose work centers on real-time motion planning and navigation for autonomous vehicles operating in dynamic, unpredictable environments. Her major contributions lie in developing algorithms that enable car-like robots to compute and adapt trajectories on the fly, ensuring safe and efficient movement despite obstacles and differential constraints. Her most influential work, "Real-time trajectory generation for car-like vehicles navigating dynamic environments" (2009, 20 citations), introduces Tiji, a trajectory generation scheme that efficiently computes feasible paths for complex systems. Delsart is also recognized for advancing trajectory deformation techniques, as seen in her 2008 papers (totaling 41 citations), which allow a precomputed path to be continuously reshaped in response to unforeseen obstacles—a critical improvement over traditional path deformation. Her research bridges theoretical rigor and practical application, making her a notable figure in autonomous navigation. With a focused body of work that has garnered steady citation impact, Delsart’s algorithms remain relevant for students and engineers tackling real-world robotic navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Navigating dynamic environments using trajectory deformation17 citations · 2008
- 3Navigating Dynamic Environments with Trajectory Deformation13 citations · 2008
- 4Reactive Trajectory Deformation to Navigate Dynamic Environments11 citations · 2008