UAV

7 papers

Unmanned aerial vehicle autonomy, planning, and control.

Papers

Sorted by year (newest first)
Safe Aerial 3D Path Planning for Autonomous UAVs using Magnetic Potential Fields
arXiv

Safe Aerial 3D Path Planning for Autonomous UAVs using Magnetic Potential Fields

Haechan Mark Bong, Giovanni Beltrame

Safe autonomous Uncrewed Aerial Vehicle (UAV) navigation in urban environments requires real-time path planning that avoids obstacles. MaxConvNet is a potential-field planner that leverages properties of Maxwell's equations to generate a path to the goal without local minima.

uav navigation
PDF Intermediate
Learning Agile Flight in the Wild
Science Robotics

Learning Agile Flight in the Wild

Elia Kaufmann, Mathias Gehrig, Philipp Foehn et al.

An end-to-end neural drone controller trained entirely in simulation flies acrobatic maneuvers in the real world with zero real-world fine-tuning, enabled by domain randomization and reinforcement learning.

uav rl
Code PDF Advanced
GitHub ★ 189 Updated May 2026
Stretch: A Small, Capable, and Affordable Mobile Manipulator
ICRA Workshop

Stretch: A Small, Capable, and Affordable Mobile Manipulator

Charlie C. Kemp, Bilsen D. Kim, Blake S. Kim et al.

A low-cost mobile manipulator designed for indoor home and office environments, with a large open-source ecosystem and teleoperation-based data collection.

manipulation uav imitation-learning
Code PDF Beginner
GitHub ★ 1,200 Updated Dec 2024
FAST-LIO2: Fast Direct LiDAR-Inertial Odometry
IEEE T-RO

FAST-LIO2: Fast Direct LiDAR-Inertial Odometry

Wei Xu, Yixi Cai, Dongjiao He et al.

A tightly-coupled LiDAR-inertial odometry system with incremental kd-tree mapping, enabling real-time state estimation for UAVs and mobile robots.

uav vla foundation-models
Code PDF Intermediate
GitHub ★ 4,707 Updated May 2026

Suggested Learning Path

Read these papers in order to build expertise in UAV.

  1. 1
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    Learning Agile Flight in the Wild

    Elia Kaufmann, Mathias Gehrig et al. · 2023

  6. 6
    Stretch: A Small, Capable, and Affordable Mobile Manipulator

    Charlie C. Kemp, Bilsen D. Kim et al. · 2023

…and 1 more papers.