Drone-Based Delivery Systems: A Survey on Route Planning

Attenni, Giulio; Arrigoni, Viviana; Bartolini, Novella; Maselli, Gaia

doi:10.1109/access.2023.3329195

Cited by 4 publications

(2 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In regard to multi-drone route planning, several detailed surveys are available [30], [31], [32], [33], [34], mostly focusing on drone delivery systems in logistic applications. These aim at determining the joint optimal routes of teams of drones for the delivery at specific customer points, starting from a given depot or from a set of depots.…”

Section: Related Workmentioning

confidence: 99%

Learning-in-Games Approach for the Mission Planning of Autonomous Multi-Drone Spatio-Temporal Sensing

Castrillo,

Pascarella,

Pigliasco

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Mission planners are one of the major classes of autonomy software and their design is especially challenging in the case cooperation autonomy is required for unmanned multi-vehicle systems. A clear example of this is given by the applications of teams of drones, such as multi-drone spatio-temporal sensing. Here, drone teams act as mobile and cooperative sensor networks to simultaneously collect sensor data in areas of interest and to allow detailed computation on the sensed data. For the design of cooperative and autonomous drone teams, mission planning shall be accomplished in the form of coordinated sensing to optimally assign the different sensing tasks and routes to each drone, employing task allocation and route planning as the basic pillars to maximize the multi-drone mission effectiveness. This work proposes a dynamic and decentralized mission planner for a drone team performing autonomous and cooperative spatiotemporal sensing. The design exploits the learning-in-games framework for the processing of optimal routes in reasonable time frames. Two ad-hoc variants of the binary log-linear learning are proposed as a coordination algorithm to manage both task allocation and route planning, by demonstrating reachability and reversibility properties. Also, the work describes an experimental analysis of the proposed solutions by means of model-in-the-loop simulations, in order to provide a preliminary tune of the main learning parameters for both solutions.INDEX TERMS Multi-drone systems, multi-drone sensing, learning in games, multi-agent systems.

show abstract

Section: Related Workmentioning

confidence: 99%

Learning-in-Games Approach for the Mission Planning of Autonomous Multi-Drone Spatio-Temporal Sensing

Castrillo,

Pascarella,

Pigliasco

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Food delivery will increasingly be carried out using automated vehicles, such as small robot vehicles or drones. , Further research is therefore required to develop the hardware and software required to operate these automated vehicles to make they affordable, reliable, and robust while also ensuring food quality and safety.…”

Section: Miscellaneous Areasmentioning

confidence: 99%

Designing a More Sustainable and Environmentally Friendly Food Supply: A Roadmap for Future Food and Agricultural Research

McClements

2024

ACS Sustainable Resour. Manage.

View full text Add to dashboard Cite

There is an urgent need to change the way we produce, distribute, and consume foods due to several adverse effects the modern food supply is having on the environment, including greenhouse gas emissions, pollution, freshwater use, land use, and biodiversity loss. Concerted efforts are therefore required by food scientists around the world to generate the scientific knowledge and technological advances needed to develop a more sustainable global food supply chain. The purpose of this article is to highlight some of the most critical areas where research is needed to improve the sustainability and reduce the adverse environmental impact of food production. These areas include enhanced agricultural crops and livestock animals, improved fertilizers, pesticides, and antibiotics, reduced food and agricultural waste, conversion of waste streams into energy and valuable materials, alternative protein sources, and advanced food packaging materials, as well as many others. A range of advanced technologies is leading to important advances in many areas of food science and technology, including gene editing, nanotechnology, precision fermentation, biotechnology, and food architecture. An important objective of this article is to stimulate research and development in this important area so as to create a more sustainable and environmentally friendly global food supply system.

show abstract