Lightweight Neural Path Planning
Jinsong Li,Shaochen Wang,Ziyang Chen,Zhen Kan,Jun Yu,Jinsong Li,Shaochen Wang,Ziyang Chen,Zhen Kan,Jun Yu
Learning-based path planning is becoming a promising robot navigation methodology due to its adaptability to various environments. However, the expensive computing and storage associated with networks impose significant challenges for their deployment on low-cost robots. Motivated by this practical challenge, we develop a lightweight neural path planning architecture with a dual input network and ...