Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Urologists are optimistic surgeons: prevalence and predictors of discordance between intraoperative stone-free rate and cross-sectional imaging evaluation after vacuum-assisted mini-percutaneous nephrolithotomy. [PDF]
World J Urol, 2022 Jannello LMI +13 more
europepmc +1 more source
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 +3 more
wiley +1 more source
External validation of the R.I.R.S. scoring system to predict stone-free rate after retrograde intrarenal surgery. [PDF]
BMC Urol, 2021 Wang C, Wang S, Wang X, Lu J.
europepmc +1 more source
Toward Mechanical Intelligence in Robotics
Advanced Robotics Research, EarlyView.Robots can use their physical bodies to perform functions usually assigned to electronic sensors and controllers. This perspective defines mechanical intelligence through three core operations: filtering inputs, routing mechanical signals, and switching between states.
Xinyi Yang +5 more
wiley +1 more source
Advanced Robotics Research, EarlyView.A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley +1 more source
A neural network - based algorithm for predicting stone -free status after ESWL therapy
Objective: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney ...
Omer Bayrak +5 more
core +1 more source
XeraBorg: Neural Control of Tail‐Flick Escape for Backward Propulsion in Cyborg Crayfish
Advanced Robotics Research, EarlyView.This work presents the first controlled tail‐flick propulsion method for the cyborg Cherax quadricarinatus. Comprehensive experiments establish a foundational framework for using the crayfish's natural escape mechanism as a locomotion strategy, expanding its potential as an underwater and amphibious mobile robot.
H. Nhan Le +7 more
wiley +1 more source
Development of a nomogram predicting the probability of stone free rate in patients with ureteral stones eligible for semi-rigid primary laser uretero-litothripsy. [PDF]
World J Urol, 2021 De Nunzio C +12 more
europepmc +1 more source
Assessing the Predictive Accuracy of the S.T.O.N.E. Score for Stone-Free Rates in Semirigid Pneumatic Ureteral Lithotripsy: Implications for Validation [PDF]
Faisal Ahmed,1 Khaled Al-Kohlany,2 Khalil Al-Naggar,1 Ibrahim Alnadhari,3,4 Abdulfattah Yahya Altam,5 Mohamed Badheeb6 1Department of Urology, School of Medicine, Ibb University, Ibb, Yemen; 2Department of Urology, College of Medicine, Sana’a University,
Badheeb M +5 more
core