This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Quantifying Tactile Perception of Fabrics Using Both Frictional and Acoustic Methods. [PDF]
Kyriazis L +4 more
europepmc +1 more source
Artificial tactile perception smart finger for material identification based on triboelectric sensing. [PDF]
Qu X +8 more
europepmc +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Recent advances in spike-based neural coding for tactile perception. [PDF]
Zhu Z +8 more
europepmc +1 more source
Influence of different fluid environments on tactile perception and finger friction. [PDF]
Zhou X +5 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
The element of surprise distinguishes beauty from pleasure and interest in visuo-tactile perception of art. [PDF]
Pistolas E, Sayın E, Wagemans J.
europepmc +1 more source
Research on tactile perception by skin friction based on a multimodal method. [PDF]
Chen S +5 more
europepmc +1 more source
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source

