A technology maturity assessment framework for industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing

FK Konstantinidis, N Myrillas, KA Tsintotas… - … Journal of Production …, 2023 - Taylor & Francis
When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …

Model-and acceleration-based pursuit controller for high-performance autonomous racing

J Becker, N Imholz, L Schwarzenbach… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Autonomous racing is a research field gaining large popularity, as it pushes autonomous
driving algorithms to their limits and serves as a catalyst for general autonomous driving. For …

[HTML][HTML] An embarrassingly simple approach for visual navigation of forest environments

C Niu, C Newlands, KP Zauner… - Frontiers in Robotics and …, 2023 - frontiersin.org
Navigation in forest environments is a challenging and open problem in the area of field
robotics. Rovers in forest environments are required to infer the traversability of a priori …

A hybrid spiking neural network reinforcement learning agent for energy-efficient object manipulation

KM Oikonomou, I Kansizoglou, A Gasteratos - Machines, 2023 - mdpi.com
Due to the wide spread of robotics technologies in everyday activities, from industrial
automation to domestic assisted living applications, cutting-edge techniques such as deep …

A hybrid reinforcement learning approach with a spiking actor network for efficient robotic arm target reaching

KM Oikonomou, I Kansizoglou… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The increasing demand for applications in competitive fields, such as assisted living and
aerial robots, drives contemporary research into the development, implementation and …

Fall detection paradigm for embedded devices based on YOLOv8

SN Moutsis, KA Tsintotas, I Kansizoglou… - … on Imaging Systems …, 2023 - ieeexplore.ieee.org
Human-action recognition attempts to determine which deed occurs by people. Owing to the
wide spectrum of human activities, action recognition spans a wide range. Among all, falls …

Real-time monocular depth estimation merging vision transformers on edge devices for aiot

X Liu, W Wei, C Liu, Y Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Depth estimation is requisite to build the 3-D perceiving capability of artificial intelligence of
things (AIoT). Real-time inference with extremely low computing resource consumption is …

The MPU RX-4 project: Design, electronics, and software development of a geofence protection system for a fixed-wing vtol uav

KA Tsintotas, L Bampis, A Taitzoglou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are at the forefront of this century's technological shift,
becoming ubiquitous in research and market areas. However, as a UAV navigates …

Deep learning on home drone: Searching for the optimal architecture

A Maalouf, Y Gurfinkel, B Diker, O Gal… - … on Robotics and …, 2023 - ieeexplore.ieee.org
We suggest the first system that runs real-time semantic segmentation via deep learning on
the weak microcomputer Raspberry Pi Zero v2 (whose price was 15)attachedtoatoydrone …

Active vision: A promising technology for achieving zero-defect manufacturing

KA Tsintotas, I Kansizoglou, FK Konstantinidis… - Procedia Computer …, 2024 - Elsevier
Quality constitutes the cutting-edge of contemporary industry, much more sharpened with
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …