Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira +5 more
wiley +1 more source
Profiles Vulnerable to Maladaptive Use of Recreational Digital Environments Identified Using the Big Five Model. [PDF]
Caffarel-Rodríguez B +2 more
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
The personality factor in premium IOLs selection: quantifying Myers-Briggs personality types influence among cataract surgeons. [PDF]
Wen Y +9 more
europepmc +1 more source
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
Key personality and training factors influencing athletes' mental health - based on machine learning. [PDF]
Sun G, Wang J, Zhang S.
europepmc +1 more source
Research Progress in Wearable Microneedle Sensors for Health Analysis
Wearable biosensors are transforming personal healthcare by enabling minimally invasive, molecular‐level monitoring. Emerging electrochemical microneedle sensors can detect analytes in interstitial fluid, enabling painless extraction and real‐time tracking.
Adnan Zameer +3 more
wiley +1 more source

