A multi-sensor fusion approach based on pir and ultrasonic sensors installed on a robot to localise people in indoor environments
I Ciuffreda, S Casaccia, GM Revel - Sensors, 2023 - mdpi.com
This work illustrates an innovative localisation sensor network that uses multiple PIR and
ultrasonic sensors installed on a mobile social robot to localise occupants in indoor …
ultrasonic sensors installed on a mobile social robot to localise occupants in indoor …
Edge deployment framework of guardbot for optimized face mask recognition with real-time inference using deep learning
Deep learning based models on the edge devices have received considerable attention as
a promising means to handle a variety of AI applications. However, deploying the deep …
a promising means to handle a variety of AI applications. However, deploying the deep …
Advancements in Learning-Based Navigation Systems for Robotic Applications in MRO Hangar
The field of learning-based navigation for mobile robots is experiencing a surge of interest
from research and industry sectors. The application of this technology for visual aircraft …
from research and industry sectors. The application of this technology for visual aircraft …
[HTML][HTML] Collaborative positioning for swarms: A brief survey of vision, LiDAR and wireless sensors based methods
Z Li, C Jiang, X Gu, Y Xu, J Cui - Defence Technology, 2024 - Elsevier
As positioning sensors, edge computation power, and communication technologies continue
to develop, a moving agent can now sense its surroundings and communicate with other …
to develop, a moving agent can now sense its surroundings and communicate with other …
Three-dimensional action recognition for basketball teaching coupled with deep neural network
K Zuo, X Su - Electronics, 2022 - mdpi.com
This study proposes a 3D attitude estimation algorithm using the RMPE algorithm coupled
with a deep neural network that combines human pose estimation and action recognition …
with a deep neural network that combines human pose estimation and action recognition …
[HTML][HTML] Lifelong ensemble learning based on multiple representations for few-shot object recognition
H Kasaei, S Xiong - Robotics and Autonomous Systems, 2024 - Elsevier
Abstract Service robots are increasingly integrating into our daily lives to help us with
various tasks. In such environments, robots frequently face new objects while working in the …
various tasks. In such environments, robots frequently face new objects while working in the …
Automated Weld Path Generation in Cluttered Environments Using Segmentation and Iterative Closest Point Workpiece Localization
T Hill, HJ Yoon, S Canfield - Journal of …, 2025 - asmedigitalcollection.asme.org
A significant amount of manufacturing is performed by small to medium enterprises (SMEs),
but these manufacturers often have lower adoption rates of automation. The cost and …
but these manufacturers often have lower adoption rates of automation. The cost and …
A Study on Object Recognition for Autonomous Mobile Robot's Safety Using Multiple Sensors
Abstract Autonomous Mobile Robots (AMRs) play an important role in Industry 4.0,
especially after the COVID-19 pandemic. AMR systems provide an efficient means of …
especially after the COVID-19 pandemic. AMR systems provide an efficient means of …
An Empirical Study on Sampling Approaches for 3D Image Classification Using Deep Learning
N Michelette - 2022 - search.proquest.com
A 3D classification method requires more training data than a 2D image classification
method to achieve good performance. These training data usually come in the form of …
method to achieve good performance. These training data usually come in the form of …