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Safe Autonomous Exploration and Adaptive Path Planning Strategy Using Signed Distance Field
IEEE Access, 2023 Autonomous exploration in unknown environment has remained challenging due to unexpected collisions, stuckness and slowdowns around obstacles. This paper reports a novel approach based on Signed Distance Field (SDF), to optimize path planning algorithms ...
Heying Wang +5 more
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矿业科学学报, 2022 The tectonic belt in northern Kuqa Depression has a long period of fault activity and multi-stage superposition, which has an important influence on hydrocarbon accumulation.Through the combination of growth index profile method, typical profile ...
Zhao Guangjie +6 more
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IEEE Access, 2023 In coupled power distribution and transportation (CPT) system, a joint scheduling framework for mobile energy storage systems (MESSs) and Volt/VAR control (VVC) ensures reliable power distribution grid operations while supporting electric vehicle loads ...
Soi Jeon +2 more
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矿业科学学报, 2022 For a long time, the characteristics and main controlling factors of the sweet spot reservoir of tight sandstone gas in the first member of the Shihezi Formation in Hangjinqi area of Ordos Basin are not clear, which restricts the natural gas productivity
Hu Huidong +4 more
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Adaptive Bayesian Optimization for Fast Exploration Under Safety Constraints
IEEE Access, 2023 The industrial field faces the problem of process optimization by finding the factors affecting the yield of the process and controlling them appropriately.
Guk Han, Jongoh Jeong, Jong-Hwan Kim
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IEEE Access, 2021 Autonomous driving (AD) provides a reliable solution for safe driving by replacing human drivers responsible for the majority of accidents. The emergence of Machine Learning, specifically Deep Reinforcement Learning (DRL), and its ability to solve ...
Sina Alighanbari, Nasser L. Azad
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Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies
Mathematics, 2023 Many real-life systems are usually controlled through policies replicating experts’ knowledge, typically favouring “safety” at the expense of optimality.
Antonio Candelieri +4 more
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A human-centered safe robot reinforcement learning framework with interactive behaviors
Frontiers in Neurorobotics, 2023 Deployment of Reinforcement Learning (RL) algorithms for robotics applications in the real world requires ensuring the safety of the robot and its environment. Safe Robot RL (SRRL) is a crucial step toward achieving human-robot coexistence. In this paper,
Shangding Gu +5 more
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Geofluids, 2022 This study is aimed at detecting small faults in coal seams. With coal seams of different buried depths in Luling Coal Mine, Yuenan Coal Mine, and Sihe Coal Mine with obvious difference in hardness and outburst hazards selected as the research objects ...
Xinghua Zhang +8 more
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矿业科学学报, 2020 Petrography microthermometry of fluid inclusion, quantitative grain fluorescence (QGF) and quantitative grain fluorescence on extract(QGF-E) are used to study the paleo-fluid characteristics and hydrocarbon charging history of Jurassic reservoir in Dibei
Zhang Yachao +5 more
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