With the increase in UAV scale and mission diversity, trajectory planning systems faces
more and more complex constraints, which are often conflicting and strongly coupled …

Path planning for multiple unmanned aerial vehicles (UAVs) is crucial in collaborative
operations and is commonly regarded as a complicated, multi-objective optimization …

UAV-based plant protection represents an efficient, energy-saving agricultural technology
with significant potential to enhance tea production. However, the complex terrain of hilly …

To overcome the problems of traditional distributed target allocation algorithms in terms of
lack of target strategic priority, poor scalability, and robustness, this paper proposes a …

This paper investigates heterogeneous-cost task allocation with budget constraints
(HCTAB), wherein heterogeneity is manifested through the varying capabilities and costs …

Robotic networks are increasingly relied upon to perform complex tasks that require efficient
scheduling and task allocation to optimize processing power, resource management, and …

Autonomous bulldozers encounter critical challenges in dynamic path planning in complex
construction environments such as dynamic obstacles and narrow passages. Bio-inspired …

This paper considers the problem of maximizing the task-assignment reward of a fleet of
heterogeneous UAVs for a dynamic reconnaissance and confirmation task under uncertain …

This paper investigates heterogeneous-cost task allocation with budget constraints
(HCTAB), wherein heterogeneity is manifested through the varying capabilities and costs …

We present a framework for Multi-Robot Task Allocation (MRTA) in heterogeneous teams
performing long-endurance missions in dynamic scenarios. Given the limited battery of …