Automatic Robotics Medication Delivery System: The ANDIS Case Study

Hospitals face challenges such as nurse burnout and unproductive time utilization. Interviews with nurses and physicians revealed that 75% of their workday is dedicated to patient care and the remaining 25% could be considered unproductive due to other tasks such as manual record-keeping, canceled surgeries and postponed procedures. Streamlining tasks can free up nurses’ time for better patient care. One of these tasks is medication delivery, which can be automated using autonomous delivery robots. In this regard, we propose the design of a small autonomous robot that delivers drugs inside hospitals to reduce the medical staff’s workload. The proposed robotics system uses ultrasonic sensors and fuzzy logic control for the avoidance of obstacle tasks. In addition, an AI camera and color indicators are used to identify the room and follow the designed trajectory to deliver the medication. Results showed that the robot navigates without colliding, and the final distance between the robot and the indicators was considered appropriate for medication delivery tasks. Furthermore, its maintenance is straightforward due to its uncomplicated mechanical design. Finally, the non-invasive nature of the colored indicators minimizes the visual impact on hospital environments. ©The authors © Spring.

Subjects

Automatic robotics me...

License

Acceso Restringido

URL License

https://creativecommons.org/licenses/by-nc-sa/4.0/

How to cite

Carbajal, P. et al. (2026). Automatic Robotics Medication Delivery System: The ANDIS Case Study. In: Moya-Albor, E., Ponce, H., Brieva, J., Gomez-Coronel, S.L., Torres, D.R. (eds) Machine Learning Methods in Biomedical Field. Studies in Computational Intelligence, vol 1218. Springer, Cham. https://doi.org/10.1007/978-3-031-96328-5_12