Optimization for drone and drone-truck combined operations: A review of the state of the art and future directions
This paper surveys the state-of-the-art optimization approaches in the civil application of
drone operations (DO) and drone-truck combined operations (DTCO) including construction …
drone operations (DO) and drone-truck combined operations (DTCO) including construction …
The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones
This paper considers a last-mile delivery system in which a delivery truck operates in
coordination with a fleet of unmanned aerial vehicles (UAVs, or drones). Deploying UAVs …
coordination with a fleet of unmanned aerial vehicles (UAVs, or drones). Deploying UAVs …
Cooperative aerial–ground vehicle route planning with fuel constraints for coverage applications
Low-cost unmanned aerial vehicles (UAVs) need multiple refuels to accomplish large area
coverage. We propose the use of a mobile ground vehicle (GV), constrained to travel on a …
coverage. We propose the use of a mobile ground vehicle (GV), constrained to travel on a …
[PDF][PDF] A Review of Multi-UAV Task Allocation Algorithms for a Search and Rescue Scenario
Unmanned aerial vehicles (UAVs) play a crucial role in enhancing search and rescue (SAR)
operations by accessing inaccessible areas, accomplishing challenging tasks, and …
operations by accessing inaccessible areas, accomplishing challenging tasks, and …
Improving sample efficiency of multiagent reinforcement learning with nonexpert policy for flocking control
Control algorithms of a multiagent system (MAS) have been applied to many Internet of
Things devices, such as unmanned aerial vehicles and autonomous underwater vehicles …
Things devices, such as unmanned aerial vehicles and autonomous underwater vehicles …
[HTML][HTML] Multi-uav urban logistics task allocation method based on mcts
Z Ma, J Chen - Drones, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) open new methods for efficient and rapid transportation in
urban logistics distribution, where task allocation is a significant issue. In urban logistics …
urban logistics distribution, where task allocation is a significant issue. In urban logistics …
[HTML][HTML] Urban Air Logistics with Unmanned Aerial Vehicles (UAVs): Double-Chromosome Genetic Task Scheduling with Safe Route Planning
Highlights What are the main findings? Developed a combined task scheduling and path
planning framework for enabling optimized and safe drone delivery services in an urban …
planning framework for enabling optimized and safe drone delivery services in an urban …
Logistic deliveries with drones: State of the art of practice and research
New technologies are transforming facilities and vehicles into intelligent systems that will
significantly modify logistics deliveries. With the appearance of automated vehicles, multiple …
significantly modify logistics deliveries. With the appearance of automated vehicles, multiple …
Task assignment for multivehicle systems based on collaborative neurodynamic optimization
This paper addresses task assignment (TA) for multivehicle systems. Multivehicle TA
problems are formulated as a combinatorial optimization problem and further as a global …
problems are formulated as a combinatorial optimization problem and further as a global …
A distributed multi-robot task allocation method for time-constrained dynamic collective transport
Recent studies in warehouse logistics have highlighted the importance of multi-robot
collaboration in collective transport scenarios, where multiple robots work together to lift and …
collaboration in collective transport scenarios, where multiple robots work together to lift and …