Autonomous Aerial Delivery Vehicles, a Survey of Techniques on how Aerial Package Delivery is Achieved
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Abstract (arXiv)
Autonomous aerial delivery vehicles have gained significant interest in the last decade. This has been enabled by technological advancements in aerial manipulators and novel grippers with enhanced force to weight ratios. Furthermore, improved control schemes and vehicle dynamics are better able to model the payload and improved perception algorithms to detect key features within the unmanned aerial vehicle's (UAV) environment. In this survey, a systematic review of the technological advancements and open research problems of autonomous aerial delivery vehicles is conducted. First, various types of manipulators and grippers are discussed in detail, along with dynamic modelling and control methods. Then, landing on static and dynamic platforms is discussed. Subsequently, risks such as weather conditions, state estimation and collision avoidance to ensure safe transit is considered. Finally, delivery UAV routing is investigated which categorises the topic into two areas: drone operations and drone-truck collaborative operations.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Oct 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 2.
4 papers.
- 2022Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigationcited by 1
- 2025Development and Testing for Perception Based Autonomous Landing of a Long-Range QuadPlanecited by 1
- 2026Integrated Multi-Drone Task Allocation, Sequencing, and Optimal Trajectory Generation in Obstacle-Rich 3D Environmentscited by 0
- 2026PILOT: Privileged Imitation Learning for End-to-End Motion Planning of Autonomous UAVs under Partial Observabilitycited by 0
- 2026PILOT: Privileged Imitation Learning for End-to-End Motion Planning of Autonomous UAVs under Partial Observability14 Aug 2026
- 2026Integrated Multi-Drone Task Allocation, Sequencing, and Optimal Trajectory Generation in Obstacle-Rich 3D Environments26 Mar 2026
- 2025Development and Testing for Perception Based Autonomous Landing of a Long-Range QuadPlane10 Dec 2025
- 2022Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation22 Sep 2022