Optimization for drone and drone-truck combined operations: A review of the state of the art and future directions

SH Chung, B Sah, J Lee - Computers & Operations Research, 2020 - Elsevier
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 …

The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones

CC Murray, R Raj - Transportation Research Part C: Emerging …, 2020 - Elsevier
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 …

Cooperative aerial–ground vehicle route planning with fuel constraints for coverage applications

P Maini, K Sundar, M Singh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

[PDF][PDF] A Review of Multi-UAV Task Allocation Algorithms for a Search and Rescue Scenario

SA Ghauri, M Sarfraz, RA Qamar… - Journal of Sensor and …, 2024 - researchgate.net
Unmanned aerial vehicles (UAVs) play a crucial role in enhancing search and rescue (SAR)
operations by accessing inaccessible areas, accomplishing challenging tasks, and …

Improving sample efficiency of multiagent reinforcement learning with nonexpert policy for flocking control

Y Qiu, Y **, L Yu, J Wang, Y Wang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …

[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 …

Logistic deliveries with drones: State of the art of practice and research

M Roca-Riu, M Menendez - 19th Swiss Transport …, 2019 - research-collection.ethz.ch
New technologies are transforming facilities and vehicles into intelligent systems that will
significantly modify logistics deliveries. With the appearance of automated vehicles, multiple …

Task assignment for multivehicle systems based on collaborative neurodynamic optimization

J Wang, J Wang, H Che - IEEE Transactions on Neural …, 2019 - ieeexplore.ieee.org
This paper addresses task assignment (TA) for multivehicle systems. Multivehicle TA
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

X Shan, Y **, M Jurt, P Li - Robotics and Autonomous Systems, 2024 - Elsevier
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 …