About

Joshuva Arockia Dhanraj is a robotics researcher whose work spans medical automation, industrial robotics, and bioinspired design. His most impactful contribution came during the COVID-19 pandemic, when he designed and simulated an Automated Guided Vehicle using Webots to transport isolated patients in hospitals—a timely innovation that has earned 13 citations. Dhanraj has also made significant strides in wall climbing robotics, publishing multiple comparative studies on adhesive technologies (magnetic, suction, and fusion types) and validating payload designs through Coppeliasim simulations. His research extends to mechatronics education, where he developed a low-cost Stewart platform for laboratory teaching, and to advanced manufacturing, including microfriction stir welding using an ABB IRB 1410 robot. Dhanraj’s work on backward motion planning for tightly coupled mobile robot formations addresses critical navigation challenges, while his recent exploration of AI integration for automated surgical procedures signals his growing interest in medical robotics. With over 40 citations across his publications, Dhanraj demonstrates a consistent focus on solving real-world problems through robot design, simulation, and control—making him a versatile contributor to both academic research and practical automation solutions.

Research Focus

Key Achievements

4
H-Index
10
Papers
51
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Design and Simulation of an Automated Guided Vehicle through Webots for Isolated COVID-19 Patients in Hospitals
13 citations · 2020
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Hindustan Institute of Technology and Science, Dr. Hari Singh Gour University, Periyar Maniammai Institute of Science & Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago