2026
A Semantic-Aware Integrated A${*}$ and Artificial Potential Field Path Planning Framework
RA-L 2026
This letter addresses the challenge of reliable path planning for mobile robots navigating complex, semantically constrained environments. We propose a systematically integrated path planning framework that combines the A<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="htt