Results 221 to 230 of about 8,331,707 (294)

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

Bio-Inspired CPG Modulation via Proprioceptive Deep Reinforcement Learning for Adaptive Hexapod Locomotion Across Terrain Transitions. [PDF]

Biomimetics (Basel)
Jiang H, Lin Y, Li Z, Shuai L.
europepmc   +1 more source

3D Printing of Self‐Healing Polymers by Material Extrusion: A Process‐Centric Review of Setups, Parameters, and Applications

Advanced Robotics Research, EarlyView.
This review highlights recent advances in material extrusion 3D printing of self‐healing polymers, focusing on the interplay between material chemistry, rheology, hardware customization, and process optimization. Filament‐ and ink‐based extrusion strategies, multimaterial architectures, and postprocessing approaches are discussed for applications in ...
Antonio Pavone, Gianni Stano, Gianluca Percoco   +2 more
wiley   +1 more source

A Testability Strategy Optimization Method Under Multi-Valued Dependency Condition Based on Deep Reinforcement Learning. [PDF]

Entropy (Basel)
Zhang C, Zhang Y, Wang F, Su X, Dong Z, Zuo L.   +5 more
europepmc   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Rehab-DRLX: explainable neurorehabilitation prognosis using deep reinforcement learning and transformer-based models. [PDF]

Front Comput Neurosci
Alsolai H, Khan S, Mahendran RK, Panwar A, Alabduallah BI, Alhayan F.   +5 more
europepmc   +1 more source

Autonomous Navigation of Pollen‐Inspired Magnetic Microrobots for Biomedical Applications

Advanced Robotics Research, EarlyView.
A sunflower pollen‐inspired magnetic microrobot enables controlled rolling navigation in vessel‐like environments. Its open geometry reduces hydrodynamic drag, while vision‐based closed‐loop control, shortest‐path planning, and reinforcement learning support target‐reaching and maze navigation with microrobot‐scale accuracy, highlighting a route toward
Ali Anil Demircali, Abdurrahim Yilmaz, Meysam Keshavarz, Jinshi Zhao, Ara Darzi, Eric Yeatman, Burak Temelkuran   +6 more
wiley   +1 more source

Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning. [PDF]

Front Comput Neurosci
Ma K.
europepmc   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

A V2X communication resource allocation method based on graph neural networks and deep reinforcement learning. [PDF]

Sci Rep
Yu W, Yang X, Yu S.
europepmc   +1 more source