Results 181 to 190 of about 181,955 (322)
SurgRIPE challenge: Benchmark of Surgical Robot Instrument Pose Estimation [PDF]
Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods for surgical instrument pose estimation provide a practical approach to tool tracking, but they often require markers to be attached to the instruments.
arxiv
Surgical procedures and experience sharing of robotic pancreaticoduodenectomy
Qiuya Wei, Yong Fan, Chen Wang
openalex +1 more source
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong+11 more
wiley +1 more source
Breast cancer robotic nipple sparing mastectomy: evaluation of several surgical procedures and learning curve [PDF]
Gilles Houvenaeghel+7 more
openalex +1 more source
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert+5 more
wiley +1 more source
Modeling of Surgical Procedures Using Statecharts for Semi-Autonomous Robotic Surgery [PDF]
Fabio Falezza+7 more
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source
Multiple plasma surface treatments improved the Mode I fracture energy of metal‐carbon‐fiber‐reinforced thermoplastic polymer (CFRTP) joints by ≈240% compared to single treatments and nearly 2000% over untreated joints. This significant enhancement, achieved without modifying CFRTP surface roughness, is attributed to improved chemical bonding at the ...
Angela A. Lee+4 more
wiley +1 more source