IHABOTv2 — Intelligent Hospital Assistance Robot
IHABOTv2 is an intelligent autonomous hospital assistance robot designed for real-time patient monitoring, early clinical risk detection, and reducing nurse workload in hospital environments.
Objective
The objective of the IHABOTv2 project is to design and develop an intelligent autonomous hospital assistance robot capable of performing continuous patient monitoring, early clinical risk detection, and assistive healthcare tasks in real hospital environments. The system aims to reduce nurse workload and minimize unnecessary human exposure to infectious conditions by integrating autonomous navigation, multi-parameter vital sign monitoring, and intelligent data interpretation. A key goal of the project is to deliver an affordable, deployable, and reliable robotic solution suitable for resource-constrained hospitals, while supporting timely clinical decision-making and improving patient safety.
My Role
- Led the overall project development and technical direction of the IHABOTv2 system
- Designed and implemented the complete autonomous navigation stack for indoor hospital environments
- Developed perception and localization modules for reliable operation in real-world clinical settings
- Integrated multi-parameter vital sign sensors, including SpO₂, blood pressure, and body temperature, with real-time data acquisition and visualization through a custom user interface
- Developed an Early Warning Score (EWS) system based on physiological vital data for early detection of patient health deterioration
- Designed and implemented the robotic manipulator pipeline for autonomous medicine delivery
- Applied machine learning techniques to physiological sensor data for clinical decision support and proactive caregiver alerts
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