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Open access Aug 2026

IoT-Based Remote Monitoring and Control of Robots for Hazardous Environments Using Machine Learning

The combination of IoT communication, edge sensing, and the classification of hazards by machine learning can realize low-latency and reliable monitoring and control of robots in hazardous environments and also show that there is a measurable performance trade-off when increasing the intensity of the environment hazard...

Hamna Anis, Z. Ahmed, Waseema Batool et al. · 2 citations
Review Open access Aug 2026

Regulatory and Safety Standards for ML-Driven IoT Robots Operating in Hazardous Industrial Environments

A structured framework to ensure safety and compliance was designed, incorporating real-time risk assessment, ML-based threat detection, IoT security mechanisms, and pre-defined safety rules, and was well rated by experts on the completeness, practicability, applicability and regulatory fit.

Syed Mohsin Wahid, Izhar Nazir, Sehrish Ghouri et al. · 0 citations

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