Design and Development of IoT-Enabled Semi-Autonomous Medicine Dispensing Mobile Robot with Obstacle-Detection Capabilities

To protect healthcare workers from contagious diseases, automated medicine dispensers offer a safe way to deliver medication to isolated patients, minimizing physical contact. This study introduces a self-navigating robot that dispenses medication (Biogesic, Advil, Fern-C) on schedule. It uses line-following to navigate and allows users to set schedules through a user-friendly app or an on-board LCD screen. The designed robot has effectively demonstrated its navigation capabilities using line-following, recognizing landmarks via RFID tags, and accurately detecting obstacles with timely notification.

Authors

Institutions

Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10902692
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Development of IoT-Enabled Semi-Autonomous Medicine Dispensing Mobile Robot with Obstacle-Detection Capabilities

Dino Dominic Ligutan, Marco Dionisio, Alexander C. Abad, Maria Victoria T. Ching et al.
1 citations
IoT and Edge/Fog Computing
0.35
article

Design and Development of IoT-Enabled Semi-Autonomous Medicine Dispensing Mobile Robot with Obstacle-Detection Capabilities

Dino Dominic Ligutan, Marco Dionisio, Alexander C. Abad, Maria Victoria T. Ching, Stephen Gabriel F. Garbo, Jann Carlo N. Red, Vince M. Salloman
article en
1 citations

Abstract

To protect healthcare workers from contagious diseases, automated medicine dispensers offer a safe way to deliver medication to isolated patients, minimizing physical contact. This study introduces a self-navigating robot that dispenses medication (Biogesic, Advil, Fern-C) on schedule. It uses line-following to navigate and allows users to set schedules through a user-friendly app or an on-board LCD screen. The designed robot has effectively demonstrated its navigation capabilities using line-following, recognizing landmarks via RFID tags, and accurately detecting obstacles with timely notification.

De La Salle University (PH)
Openalex Percentile: Top 34%
IoT and Edge/Fog Computing
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.