Review of robot-based automated measurement of vibration for civil engineering structures

S Poorghasem, Y Bao - Measurement, 2023 - Elsevier
Recent advances in robotics and machine vision enable automated measurement of
vibration for civil engineering structures. Various types of robotic platforms such as drones …

A deep reinforcement learning-based dynamic computational offloading method for cloud robotics

M Penmetcha, BC Min - IEEE Access, 2021 - ieeexplore.ieee.org
Robots come with a variety of computing capabilities, and running computationally-intense
applications on robots is sometimes challenging on account of limited onboard computing …

Web based user-friendly graphical interface to control robots with ros environment

DD Rajapaksha, MNM Nuhuman… - 2021 6th …, 2021 - ieeexplore.ieee.org
We have proposed a web-based approach to controlling robots in simulation. This web
application will provide a simple user interface to demonstrate the various capabilities of …

Design, Implementation, and Performance Evaluation of a Web‐Based Multiple Robot Control System

UUS Rajapaksha, C Jayawardena… - Journal of …, 2022 - Wiley Online Library
Heterogeneous multiple robots are currently being used in smart homes and industries for
different purposes. The authors have developed the Web interface to control and interact …

[HTML][HTML] IMUC: Edge–End–Cloud Integrated Multi-Unmanned System Payload Management and Computing Platform

J Tang, R Zhong, R Zhang, Y Zhang - Drones, 2024 - mdpi.com
Multi-unmanned systems are primarily composed of unmanned vehicles, drones, and multi-
legged robots, among other unmanned robotic devices. By integrating and coordinating the …

Markov decision process with deep reinforcement learning for robotics data offloading in cloud network

R Alroobaea, A Binmahfoudh… - Journal of …, 2022 - spiedigitallibrary.org
Robots have a wide range of computer capacities, and executing powerful computational
programs on them might be difficult due to restricted internal processing, memory, and …

R2SNet: Scalable Domain Adaptation for Object Detection in Cloud-Based Robots Ecosystems via Proposal Refinement

M Antonazzi, M Luperto, NA Borghese… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce a novel approach for scalable domain adaptation in cloud robotics scenarios
where robots rely on third-party AI inference services powered by large pre-trained deep …

Review of artificial intelligence applications in the ROS ecosystem

J Grönman, M Saarivirta, T Aaltonen… - 2021 44th …, 2021 - ieeexplore.ieee.org
Artificial intelligence has developed rapidly in recent years. It is permanently established in
the field of robotics and science. It is seen as an intelligent decision maker which interacts …

A predictive application offloading algorithm using small datasets for cloud robotics

M Penmetcha, SS Kannan… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Many robotic applications that are critical for robot performance require immediate feedback,
hence execution time is a critical concern. Furthermore, it is common that robots come with a …

Robot Cloud Computing and Al Services-State-of-the-art Solutions, Challenges, and Needs

J Gao, D Wang - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
According to the PRNewswire research report, Cloud Robotics Market will witness a YOY
growth of 21.19% in 2022 at a CAGR of 22.26% during the forecast period. This strong …