Results 161 to 170 of about 8,023,305 (265)

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

Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning

The connections between symbolic rules and neural networks have been explored in various directions, including rule mining through neural networks and rule-based explanation for neural networks.
Wang, Zhe, Zhuang, Zhiqiang, Wang, Z, Ma, S, Ma, Suxue, Wang, Kewen, Wang, K, Zhuang, Z   +7 more
core   +1 more source

VITAGRAPH: building a knowledge graph for biologically relevant learning tasks. [PDF]

Sci Data
Madeddu F, Testa L, De Carlo G, Pieroni M, Mastropietro A, Petti M, Anagnostopoulos A, Tieri P, Barbarossa S.   +8 more
europepmc   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

A knowledge graph dataset of medieval and renaissance geographical works. [PDF]

Data Brief
Bartalesi V, Pratelli N, Lenzi E.
europepmc   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

KG-DFI: A Prediction of Drug-Food Interactions Based on Knowledge Graph Embedding. [PDF]

Comput Struct Biotechnol J
Kang M, Lee MJ, Yoo S.
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

Correction: AgroLD: a knowledge graph for the plant sciences. [PDF]

BMC Genom Data
Larmande P, Pittolat B, Tando N, Pomie Y, Happi BGH, Guignon V, Ruiz M.   +6 more
europepmc   +1 more source

Technical Feasibility Study of Autonomous Field Robot‐Based on‐the‐go Assessment of Soil Nutrients Using Ion‐Sensitive Field‐Effect Transistors

Advanced Robotics Research, EarlyView.
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel, Stefan Hinck, Edgar Peiter, Arno Ruckelshausen   +3 more
wiley   +1 more source