G Diaz-Arango, H Vazquez-Leal… - Sensors, 2020 - mdpi.com
The ability to plan a multiple-target path that goes through places considered important is desirable for autonomous mobile robots that perform tasks in industrial environments. This …
This paper proposes a novel cooperative mission planning for uncrewed aerial systems (UAS), using roll-out policy optimization and a blend of straight and double-Archimedean …
S Ishida - arXiv preprint arXiv:2409.19479, 2024 - arxiv.org
Humans can perform complex tasks with long-term objectives by planning, reasoning, and forecasting outcomes of actions. For embodied agents to achieve similar capabilities, they …
M Rigter - arXiv preprint arXiv:2304.00573, 2023 - arxiv.org
Many sequential decision-making problems that are currently automated, such as those in manufacturing or recommender systems, operate in an environment where there is either …
K Pfeiffer, L Edgar, QC Pham - 2023 IEEE/RSJ International …, 2023 - ieeexplore.ieee.org
Symbolic task planning for robots is computationally challenging due to the combinatorial complexity of the possible action space. This fact is amplified if there are several sub-goals …
In many UAV applications, such as land assessment, pasture management, and search and rescue, UAVs are often required to scan multiple regions. How to plan the paths for the …