IEEE

Enhanced Adaptive Dynamic Programming-based Collision-free Enclosing Learning Control for UAVs under Dynamic Environments

Abstract: This 1 paper 2 solves an enhanced adaptive dynamic programming (ADP)-based collision-free enclosing learning control for Unmanned Aerial Vehicles (UAVs) to move around a specified target ...
IEEE

DPOFEC: A Dynamic UAV-Based Path Planning Optimization Framework with Federated Learning and Edge Computing in Complex Environments

Abstract: In complex map environments, the Rapidlyexploring Random Tree (RRT) algorithm is recognized as an efficient initial path planning method for unmanned aerial vehicles (UAVs). Relying solely ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
GitHub

BMSSP: A C++ Shortest Path Algorithm

A header-only C++ implementation of the single-source shortest path (SSSP) algorithm for sparse directed graphs with non-negative weights, based on the 2025 paper by Duan et al. This algorithm is ...