[HTML][HTML] An Application-Driven Survey on Event-Based Neuromorphic Computer Vision
D Cazzato, F Bono - Information, 2024 - mdpi.com
Traditional frame-based cameras, despite their effectiveness and usage in computer vision,
exhibit limitations such as high latency, low dynamic range, high power consumption, and …
exhibit limitations such as high latency, low dynamic range, high power consumption, and …
SISG-Net: Simultaneous instance segmentation and grasp detection for robot grasp in clutter
Robots have always found it challenging to grasp in cluttered scenes because of the
complex background information and changing operating environment. Therefore, in order …
complex background information and changing operating environment. Therefore, in order …
High speed neuromorphic vision-based inspection of countersinks in automated manufacturing processes
Countersink inspection is crucial in various automated assembly lines, especially in the
aerospace and automotive sectors. Advancements in machine vision introduced automated …
aerospace and automotive sectors. Advancements in machine vision introduced automated …
A neuromorphic dataset for tabletop object segmentation in indoor cluttered environment
Event-based cameras are commonly leveraged to mitigate issues such as motion blur, low
dynamic range, and limited time sampling, which plague conventional cameras. However, a …
dynamic range, and limited time sampling, which plague conventional cameras. However, a …
Review of reinforcement learning for robotic grasping: Analysis and recommendations
This review paper provides a comprehensive analysis of over 100 research papers focused
on the challenges of robotic grasping and the effectiveness of various machine learning …
on the challenges of robotic grasping and the effectiveness of various machine learning …
[HTML][HTML] A novel vision-based multi-functional sensor for normality and position measurements in precise robotic manufacturing
Cobots play an essential role in the fourth industrial revolution and the automation of
complex manufacturing processes. However, cobots still face challenges in achieving high …
complex manufacturing processes. However, cobots still face challenges in achieving high …
Neuromorphic camera denoising using graph neural network-driven transformers
Neuromorphic vision is a bio-inspired technology that has triggered a paradigm shift in the
computer vision community and is serving as a key enabler for a wide range of applications …
computer vision community and is serving as a key enabler for a wide range of applications …
Event augmentation for contact force measurements
Neuromorphic vision sensor is an attractive technology that offers high dynamic range, and
low latency which are crucial in robotic applications. However, the lack of event-based data …
low latency which are crucial in robotic applications. However, the lack of event-based data …
A neuromorphic dataset for object segmentation in indoor cluttered environment
Taking advantage of an event-based camera, the issues of motion blur, low dynamic range
and low time sampling of standard cameras can all be addressed. However, there is a lack …
and low time sampling of standard cameras can all be addressed. However, there is a lack …
Deep-learning-based object classification of tactile robot hand for smart factory
D Wang, Y Teng, J Peng, J Zhao, P Wang - Applied Intelligence, 2023 - Springer
Object classification based on tactile perception plays an essential role in robot
manipulation process, as it serves for decision-making for the the downstream manipulation …
manipulation process, as it serves for decision-making for the the downstream manipulation …