Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Homogeneous integration of two-dimensional material-based optoelectronic neurons and ferroelectric synapses for neuromorphic vision. [PDF]
Wang J +14 more
europepmc +1 more source
Optoelectrical Conditioning in Graphene Quantum Dot–Vanadium Oxide Artificial Synapse
A 0D/3D heterojunction device based on Ag/GQD–VO2/Ni architecture mimics key aspects of human visual processing through optoelectrical conditioning and optical associative learning. Repeated optoelectrical stimulation induces history‐dependent conductance modulation, leading to improved synaptic characteristics and pattern recognition performance ...
Prabana Jetty +6 more
wiley +1 more source
High-order dynamics in an ultra-adaptive neuromorphic vision device. [PDF]
Xu J +11 more
europepmc +1 more source
HZO/HSO Superlattice ReFET Array Integrating Optical Sensing for Neuromorphic Vision Computing. [PDF]
Dang B +10 more
europepmc +1 more source
Chalcogenide-Based Brain-Inspired Photo-Synapses for Neuromorphic Vision Sensor: An Experimental and Theoretical Study. [PDF]
Abbas Z +5 more
europepmc +1 more source
Neuromorphic Vision Based Contact-Level Classification in Robotic Grasping Applications. [PDF]
Huang X +6 more
europepmc +1 more source
Low-Power Perovskite-Based Memristors Enable Fused Reservoir Computing and Neuromorphic Vision with Highly Accurate Color Perception. [PDF]
Bousoulas P +9 more
europepmc +1 more source
Dual-Mode Photonic Synapse Based on a Lead-Free 2D Ruddlesden-Popper Perovskite for Neuromorphic Vision. [PDF]
Chen CY +7 more
europepmc +1 more source
SpikeAtConv: an integrated spiking-convolutional attention architecture for energy-efficient neuromorphic vision processing. [PDF]
Liao W, Chen F, Liu C, Wang W, Liu H.
europepmc +1 more source

