Results 51 to 60 of about 535,457 (208)

NeuroVI-based new datasets and space attention network for the recognition and falling detection of delivery packages

open access: yesFrontiers in Neurorobotics, 2022
With the popularity of online-shopping, more and more delivery packages have led to stacking at sorting centers. Robotic detection can improve sorting efficiency. Standard datasets in computer vision are crucial for visual detection.
Xiangyong Liu   +7 more
doaj   +1 more source

Photonic neuromorphic accelerators for event-based imaging flow cytometry

open access: yesScientific Reports
In this work, we present experimental results of a high-speed label-free imaging cytometry system that seamlessly merges the high-capturing rate and data sparsity of an event-based CMOS camera with lightweight photonic neuromorphic processing.
I. Tsilikas   +7 more
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

open access: yesAdvanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim   +6 more
wiley   +1 more source

Single‐Step Fabrication of Smart 3D Microstructures Exploiting Naphthopyrans as Photoinitiators and Photochromic Molecules

open access: yesAdvanced Optical Materials, EarlyView.
Naphthopyran–benzophenone compounds can act simultaneously as photoinitiators and photochromic molecules for two‐photon polymerization. Using a single‐step process, liquid photoresist is encapsulated within polymerized 3D microstructures, preserving reversible UV–vis photochromism after fabrication.
João P. Leote   +5 more
wiley   +1 more source

Visual odometry with neuromorphic resonator networks [PDF]

open access: yes
Visual odometry (VO) is a method used to estimate self-motion of a mobile robot using visual sensors. Unlike odometry based on integrating differential measurements that can accumulate errors, such as inertial sensors or wheel encoders, VO is not ...
Renner, Alpha   +6 more
core   +2 more sources

Flexible Sensors for Robotics Tactile Perception: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Comparison of Anomaly Detection Methods on Event-Based Vision Sensor Data in a High Noise Environment

open access: yesSensors
Event-based vision sensors (EVSs) provide unique frequency analysis opportunities due to their event data output and high temporal resolution. Anomaly detection methods used in hyperspectral analysis can be used on the event frequency spectra to detect ...
Will Johnston   +6 more
doaj   +1 more source

StereoSpike: Depth Learning With a Spiking Neural Network

open access: yesIEEE Access, 2022
Depth estimation is an important computer vision task, useful in particular for navigation in autonomous vehicles, or for object manipulation in robotics.
Ulysse Rancon   +3 more
doaj   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

open access: yesAdvanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

Systematic construction of finite state automata using VLSI spiking neurons [PDF]

open access: yes, 2012
Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications.
Neftci, Emre   +14 more
core   +1 more source

Home - About - Disclaimer - Privacy