4 papers
Performance Comparison of Classical and Neural Sampling Algorithms for Robotic Navigation
Hichem Cheriet, Badra Khellat Kihel, Samira Chouraqui
Integrating artificial intelligence (AI) into sampling-based motion planning provides new possibilities for improving autonomous navigation efficiency. In this paper, three algorit…
Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning
Hichem Cheriet, Badra Khellat Kihel, Samira Chouraqui +1
Sampling-based algorithms for robot path planning offer probabilistic completeness and strong empirical convergence properties across environments with diverse obstacle configurati…
Enhanced UAV Path Planning Using the Tangent Intersection Guidance (TIG) Algorithm
Hichem Cheriet, Khellat Kihel Badra, Chouraqui Samira
Efficient and safe navigation of Unmanned Aerial Vehicles (UAVs) is critical for various applications, including combat support, package delivery and Search and Rescue Operations.…
Comparative Analysis of UAV Path Planning Algorithms for Efficient Navigation in Urban 3D Environments
Hichem Cheriet, Khellat Kihel Badra, Chouraqui Samira
The most crucial challenges for UAVs are planning paths and avoiding obstacles in their way. In recent years, a wide variety of path-planning algorithms have been developed. These…