Arjon Turnip
Papers
11
Total Citations
56
H-Index
5
About
Arjon Turnip is a leading researcher in medical robotics and autonomous navigation systems, with a particular focus on developing intelligent robots to support healthcare during and beyond the COVID-19 pandemic. His most-cited work, with 10 citations, presents a 2D LiDAR-based indoor SLAM system for medical robots designed to enforce physical distancing in hospital environments. Turnip’s contributions span precision health monitoring—such as blood pressure prediction from PPG signals using Support Vector Regression (8 citations)—and advanced trajectory planning with the Time Elastic Band algorithm (8 citations). He has also pioneered wall-following control for mobile robots without orientation sensors (7 citations), demonstrating foundational work in robust navigation. His research integrates deep learning for voice chatbots, 3D LiDAR mapping with RTAB-MAP, and face liveness detection using CNNs, all aimed at creating safer, more autonomous medical assistants. With over 50 citations across his top papers, Turnip’s work directly addresses critical challenges in human-robot interaction, sensor fusion, and real-time decision-making, making him a key figure in the evolution of healthcare robotics.
Research Focus
Key Achievements
Top Papers
- 1Design of 2D LiDAR-based Indoor SLAM for Medical Robot Covid-1910 citations · 2021
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- 5Wall following control of a mobile robot without orientation sensor7 citations · 2013
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- 7Navigation Robot Covid With 3D LiDAR Using RTAB-MAP Method4 citations · 2022
- 8Face Liveness Detection Using CNN for Face Verification on Medical Robot2 citations · 2022
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