Tapankumar Trivedi
Papers
3
Total Citations
21
H-Index
3
About
Dr. Tapankumar Trivedi is a leading researcher in the intersection of robotics, artificial intelligence, and control systems, with a particular focus on developing intelligent solutions for critical real-world applications. His primary contributions span three key areas: autonomous navigation, disaster response robotics, and precision medical robotics. In his most cited work (10 citations), Dr. Trivedi introduced an innovative method for optimal mobile robot routing in unknown environments, combining neural networks with kernel-based dimensionality reduction to enable efficient and adaptive path planning. His impactful research on survivor detection for post-earthquake search and rescue missions (6 citations) demonstrates a novel deep learning framework integrated with snake robots, enabling rapid and reliable identification of humans trapped under debris—a breakthrough with profound humanitarian implications. Additionally, Dr. Trivedi has advanced surgical robotics through his work on non-singular terminal sliding mode control with perturbation observers for ear surgery robots (5 citations), addressing critical challenges in precise motion control of piezoelectric actuators. His work consistently bridges theoretical innovation with practical deployment, showcasing how advanced control and AI algorithms can enhance robotic autonomy in high-stakes environments.
Research Focus
Key Achievements
Top Papers
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