Results 71 to 80 of about 69,930 (266)

Maskless Fabrication of PLA‐Based Neural Arrays for CNS Recording and Stimulation

Advanced Materials Interfaces, EarlyView.
Biodegradable neural interfaces enable bidirectional communication with the CNS. Through electrochemical characterization, ageing tests with impedance monitoring, and in vivo validation, we assess the performance of PLA‐based epicortical and spinal implants.
Anna De Salvo, Federica Velluto, Ilenia Sergi, Michele Di Lauro, Verónica Barranco‐Maresca, Elena Alonso‐Calviño, Yasmina Hernández‐Martín, Juan Aguilar, Juliana M. Rosa, María C. Serrano, Carolina Giulia Ferroni, Federico Rondelli, Elisa López‐Dolado, Luciano Fadiga, Fabio Biscarini   +14 more
wiley   +1 more source

Research on the construction method of temporal knowledge graph for open-pit coal mine slope safety

Gong-kuang zidonghua
This paper aims to address the issues of insufficient temporal knowledge graphs for open-pit coal mine slope safety, difficulties in effectively sharing data resources, and limitations in handling dynamic knowledge. A method for constructing the temporal
CHU Yangjing, ZHANG Heng, TANG Ling, HOU Xiaodong   +3 more
doaj   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Learning Temporal Knowledge Graphs via Time-Sensitive Graph Attention

IEEE Access
Embedding-based graph representation learning methods have shown strong performance on knowledge graphs (KGs), but most are designed for static settings and struggle to model temporal dynamics.
Jinqing Shen, Chengjin Xu, Yingqi Liu, Xuhui Jiang, Jiaming Li, Zhenxin Huang, Jens Lehmann, Xuesong Chen   +7 more
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Temporal Knowledge Graph Question Answering: A Survey

CoRR
Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering (TKGQA), an emerging task to answer temporal questions.
Miao Su, Zixuan Li 0001, Zhuo Chen, Long Bai 0002, Xiaolong Jin 0001, Jiafeng Guo   +5 more
openaire   +2 more sources

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Narrative Graph: Telling Evolving Stories Based on Event-centric Temporal Knowledge Graph. [PDF]

J Syst Sci Syst Eng, 2023
Yan Z, Tang X.
europepmc   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source