A review of safe reinforcement learning: Methods, theory and applications

S Gu, L Yang, Y Du, G Chen, F Walter, J Wang… - ar**: State of the art and new frontiers
JA Placed, J Strader, H Carrillo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Active simultaneous localization and map** (SLAM) is the problem of planning and
controlling the motion of a robot to build the most accurate and complete model of the …

[HTML][HTML] Fault-tolerant cooperative navigation of networked UAV swarms for forest fire monitoring

J Hu, H Niu, J Carrasco, B Lennox, F Arvin - Aerospace Science and …, 2022 - Elsevier
Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention
due to its wide practical applications including search and rescue, cooperative exploration …

A comprehensive review of coverage path planning in robotics using classical and heuristic algorithms

CS Tan, R Mohd-Mokhtar, MR Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Multi-agent deep reinforcement learning for multi-robot applications: A survey

J Orr, A Dutta - Sensors, 2023 - mdpi.com
Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

A metaverse-based teaching building evacuation training system with deep reinforcement learning

J Gu, J Wang, X Guo, G Liu, S Qin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of IoT, virtual reality, cloud computing, and digital twin technologies,
the advent of metaverse has attracted increasing world attention. Metaverse integrates and …

[HTML][HTML] Advances of machine learning in multi-energy district communities‒mechanisms, applications and perspectives

Y Zhou - Energy and AI, 2022 - Elsevier
Energy paradigm transition towards the carbon neutrality requires combined and continuous
efforts in cleaner power production, advanced energy storages, flexible district energy …

Reinforcement learning for mobile robotics exploration: A survey

LC Garaffa, M Basso, AA Konzen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Efficient exploration of unknown environments is a fundamental precondition for modern
autonomous mobile robot applications. Aiming to design robust and effective robotic …

A decentralized cluster formation containment framework for multirobot systems

J Hu, P Bhowmick, I Jang, F Arvin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cooperative control of multirobot systems (MRSs) has earned significant research interest
over the past two decades due to its potential applications in multidisciplinary engineering …

Towards accurate and reliable resolution of structural variants for clinical diagnosis

Z Liu, R Roberts, TR Mercer, J Xu, FJ Sedlazeck… - Genome biology, 2022 - Springer
Structural variants (SVs) are a major source of human genetic diversity and have been
associated with different diseases and phenotypes. The detection of SVs is difficult, and a …