Back to search

Article

Geometrical Optimal Navigation and Path Planning – Bridging Theory, Algorithms, and Applications

2025-09-19

Abstract excerpt

Autonomous systems, such as self-driving cars, surgical robots, and space rovers, require efficient and collision-free navigation in dynamic environments. Geometric optimal navigation and path planning have become critical research areas, combining geometry, optimization, and machine learning to address these challenges. This paper systematically reviews state-of-the-art methodologies in geometric navigation and p...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
259f2065-d686-5a3d-8e76-c78323a668d8
DOI
10.20944/preprints202509.1661.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Geometrical Optimal Navigation and Path Planning – Bridging Theory, Algorithms, and ApplicationsDOI 10.20944/preprints202509.1661.v1
Select a neighboring publication to make it the new centre.