Results 41 to 50 of about 9,658 (219)
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
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 +3 more
wiley +1 more source
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
Outdoor scene understanding under adverse weather conditions [PDF]
Understanding the outdoor scenarios is particularly challenging due to the various adverse weather conditions, which can degrade the scene representation greatly.
Bi, Q.
core +6 more sources
Road traffic accidents remain a leading cause of fatalities worldwide, and the consequences are considerably worsened by delayed detection and emergency response.
Sadaf Ayesha +3 more
doaj +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
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
Recent advances in Artificial Intelligence (AI) applied to Human–Computer Interaction (HCI) have been characterized by the convergence of immersive technologies, semantic reasoning, and data-centric learning paradigms.
Paulo Alonso Gaona-García
doaj +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Deep learning for scene understanding in mitochondrial dysregulation and blood cancer diagnosis
IntroductionDeep learning has emerged as a transformative tool in biomedical research, particularly in understanding disease mechanisms and enhancing diagnostic precision. Mitochondrial dysfunction has been increasingly recognized as a critical factor in
Feng Zhu +4 more
doaj +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Special Section Guest Editorial: Machine Vision—Systems, Methods, and Applications
Special section editors Johan Debayle, Wolfgang Osten, and Dmitry Nikolaev introduce the Special Section on Machine Vision: Systems, Methods, and Applications.The emergence of machine vision as a ubiquitous platform for innovations has laid the ...
Osten, Wolfgang +2 more
core +1 more source

