Papers

11

Total Citations

140

H-Index

6

About

Md Tanzil Shahria is a robotics and artificial intelligence researcher whose work sits at the intersection of assistive robotics, computer vision, and human-robot interaction. With a cumulative body of work spanning over 130 citations, Shahria has established himself as a meaningful contributor to the rapidly evolving field of robot-assisted technology. His most cited work, a comprehensive review of vision-based robotic applications (2022, 47 citations), synthesized the state of the field and outlined critical barriers to real-world deployment. A particularly impactful contribution is his development of a robot-assisted telerehabilitation system integrating Industrial Internet of Things and digital twin technologies (2023, 36 citations), offering promising solutions for stroke patients with upper limb dysfunction who lack consistent access to physical therapists. Shahria has also advanced assistive robotics through the design of a three-finger adaptive robotic gripper and vision-based object manipulation systems tailored to help individuals with daily living activities. Early in his career, he demonstrated environmental consciousness through exploration robots designed for underwater rescue and mangrove forest research. Collectively, his research reflects a consistent mission: leveraging robotics and AI to improve human quality of life and expand technological accessibility.

Research Focus

Key Achievements

6
H-Index
11
Papers
140
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Comprehensive Review of Vision-Based Robotic Applications: Current State, Components, Approaches, Barriers, and Potential Solutions
47 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of Wisconsin–Milwaukee, North South University, Marquette University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago