Internet of Robotic Things: Current Technologies, Applications, Challenges and Future Directions
@article{Villa2021InternetOR, title={Internet of Robotic Things: Current Technologies, Applications, Challenges and Future Directions}, author={David Villa and Xinchao Song and Matthew Heim and Liangshe Li}, journal={ArXiv}, year={2021}, volume={abs/2101.06256} }
Nowadays, the Internet of Things (IoT) concept is gaining more and more notoriety bringing the number of connected devices to reach the order of billion units. Its smart technology is influencing the research and developments of advanced solutions in many areas. This paper focuses on the merger between the IoT and robotics named the Internet of Robotic Things (IoRT). Allowing robotic systems to communicate over the internet at a minimal cost is an important technological opportunity. Robots can…
4 Citations
Internet of Robotic Things: Current Technologies and Applications
- Computer Science2021 22nd International Arab Conference on Information Technology (ACIT)
- 2021
IoRT is regarded as an essential technology with the ability to bring about a plethora of benefits in smart society upon adoption, contributing to the generation and development of smart cities and industries in the near future.
Twin Delayed DDPG based Dynamic Power Allocation for Internet of Robotic Things
- Computer Science2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
- 2022
Results show that the proposed TD3 algorithm outperforms the model-based methods such as fractional programming (FP) and weighted MMSE (WMMSE) as well as model-free algorithms, for example, deep Q network (DQN) and DDPG on sum-rate performance with good generalization power.
DRL based Energy-Efficient Radio Resource Allocation Algorithm in Internet of Robotic Things
- Computer Science2022 IEEE Symposium on Wireless Technology & Applications (ISWTA)
- 2022
A deep reinforcement learning (DRL) based algorithm consisting of two different value-based networks that outperforms the Deep Q Network (DQN) and conventional approaches in terms of power consumption.
Non-intrusive Anomaly Detection of Industrial Robot Operations by Exploiting Nonlinear Effect
- Computer ScienceProc. ACM Interact. Mob. Wearable Ubiquitous Technol.
- 2022
RobotScatter is presented, a non-intrusive system that exploits the nonlinear effect of RF circuits to fuse the propagation of backscatter tags attached to the robot to defend against active attacks.
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