Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
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Advances in Optimized and Safe Path Planning of Marine Autonomous Surface Vehicles: A Review. [PDF]
Kou L, Gao X.
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Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
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Multi-constraint model predictive control of flexible joint drive system based on unknown state estimator and constraint adaptive hierarchical planning. [PDF]
Song C, Du Q, Guo X.
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Potential field reconstruction-based path planning system for autonomous vehicle with enhancing stability. [PDF]
Fu Z, Liu Z, Tan W, Chen K.
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Research on Reinforcement Learning-Based Autonomous Navigation and Obstacle Avoidance Methods for AGVs in Unknown Hospital Environments. [PDF]
Luo T, Hu J, Zhang B, Zhang X, Luo S.
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Design and acoustic characterization of a test bench for aeroacoustic studies under controlled turbulent flow. [PDF]
Gianoli Kovar P, Cataldo Ottieri J.
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A distributed differential game approach to trajectory planning for offshore wind farm inspection. [PDF]
Liao Y, You S, Wang H, Yu S, Xue W.
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Real-time decentralized model predictive control for cooperative multi-robot object transport: experimental validation. [PDF]
Muhammed I, Nada AA, El-Hussieny H.
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Development of an optimal velocity selection method with velocity obstacle
Journal of Mechanical Science and Technology, 2015The Velocity obstacle (VO) method is one of the most well-known methods for local path planning, allowing consideration of dynamic obstacles and unexpected obstacles. Typical VO methods separate a velocity map into a collision area and a collision-free area.
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