Robotics Research Hub

UAV

7 papers

Unmanned aerial vehicle autonomy, planning, and control.

uav vla manipulation navigation rl safety imitation-learning foundation-models

Papers

Sorted by year (newest first)
AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots

AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots

Jianli Sun, Bin Tian, Qiyao Zhang et al. · arXiv preprint · Jun 2026

Aerial manipulation systems have long suffered from representation coupling in end-to-end control, as platform-level Unmanned Aerial Vehicle (UAV) movement and end-effector-level arm manipulation differ substantially in action scale, dynamics, and control objectives. In this paper, we propose AIR-VL...

uav vla manipulation
PDF Advanced
No code repo Jun 2026
Learning Agile Flight in the Wild

Learning Agile Flight in the Wild

Elia Kaufmann, Mathias Gehrig, Philipp Foehn et al. · Science Robotics · Feb 2023

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 Code updated: May 2026
Stretch: A Small, Capable, and Affordable Mobile Manipulator

Stretch: A Small, Capable, and Affordable Mobile Manipulator

Charlie C. Kemp, Bilsen D. Kim, Blake S. Kim et al. · ICRA Workshop · 2023

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 Code updated: Dec 2024
FAST-LIO2: Fast Direct LiDAR-Inertial Odometry

FAST-LIO2: Fast Direct LiDAR-Inertial Odometry

Wei Xu, Yixi Cai, Dongjiao He et al. · IEEE T-RO · 2022

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 Code updated: May 2026

Suggested Learning Path

Read these papers in order to build expertise in UAV.

  1. 1
    AIR-VLA+: Decoupling Movement and Manipulation via Cascaded Dual-Action Decoders with Asymmetric MoE for Aerial Robots

    Jianli Sun, Bin Tian et al. · 2026

  2. 2
    Safe Aerial 3D Path Planning for Autonomous UAVs using Magnetic Potential Fields

    Haechan Mark Bong, Giovanni Beltrame · 2026

  3. 3
    Scout-Assisted Planning for Heterogeneous Robot Teams under Partially Known Environments

    Hoang-Dung Bui, Abhish Khanal et al. · 2026

  4. 4
    Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning

    Ismail Geles, Leonard Bauersfeld et al. · 2026

  5. 5
    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.