2 papers
cs.RO2026
C-3TO: Continuous 3D Trajectory Optimization on Neural Euclidean Signed Distance Fields
Guillermo Gil, Jose Antonio Cobano, Luis Merino +1
This paper introduces a novel framework for continuous 3D trajectory optimization in cluttered environments, leveraging online neural Euclidean Signed Distance Fields (ESDFs). Unli…
eess.SY2026
Exploiting Euclidean Distance Field Properties for Fast and Safe 3D planning with a modified Lazy Theta*
Jose A. Cobano, L. Merino, F. Caballero
This paper presents the FS-Planner, a fast graph-search planner based on a modified Lazy Theta* algorithm that exploits the analytical properties of Euclidean Distance Fields (EDFs…