Featured publication

Beyond Detection

Orchestrating Human-Robot-Robot Assistance via an Internet of Robotic Things Paradigm

Project overview

Joseph Hunt, Koyo Fujii, Aly Magassouba, Praminda Caleb-Solly · ICSR 2025

Hospital patient falls remain a significant healthcare challenge. This project investigates how robotic systems can support earlier, more proactive intervention by combining privacy-preserving thermal sensing, real-time bed-exit prediction and coordinated assistance from multiple robotic agents.

A socially assistive robot interacts with the patient to understand their need, while a robotic arm can assist with practical support such as item delivery. The project demonstrates how an Internet of Robotic Things approach can connect sensing, prediction, interaction and physical assistance into a coordinated hospital-care scenario.

Key achievements

  • Developed a modular Internet of Robotic Things framework.
  • Used low-resolution thermal sensing for privacy-preserving bed-exit prediction.
  • Connected sensing, prediction, patient interaction and robotic assistance.
  • Demonstrated coordinated human–robot–robot interaction.
  • Moved beyond reactive alerts toward proactive patient support.

Demo video

Citation

@inproceedings{hunt2025beyond,
  title     = {Beyond Detection -- Orchestrating Human-Robot-Robot Assistance via an Internet of Robotic Things Paradigm},
  author    = {Hunt, Joseph and Fujii, Koyo and Magassouba, Aly and Caleb-Solly, Praminda},
  booktitle = {Proceedings of ICSR 2025},
  year      = {2025},
  doi       = {10.1007/978-981-95-2379-5_40}
}