Papers

10

Total Citations

239

H-Index

6

About

Meenakshi Gupta is a robotics researcher whose work centers on autonomous mobile systems, human-robot interaction, and computer vision-based tracking. She has made particularly significant contributions to the field of service robotics, developing intelligent algorithms that enable robots to detect, follow, and interact with humans in real-world environments. Her most influential work, "A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot" (2016), has garnered 140 citations and introduced a robust visual controller that dramatically advanced the capability of service robots to accompany humans in domestic and workplace settings. Complementing this, her 2014 paper on UKF-based motion tracking demonstrated a powerful fusion of detection and filtering techniques for mobile robot perception, accumulating 40 citations. Together, these works established her as a leading voice in vision-based human tracking. Beyond human-following systems, Gupta has explored sonar-based autonomous navigation, fuzzy logic motion controllers optimized via particle swarm optimization, SURF feature-based tracking algorithms, and even railway defect detection using neural networks — reflecting impressive breadth across applied robotics and intelligent systems. Her research consistently bridges theoretical innovation with practical implementation, making her contributions especially valuable to engineers and researchers designing next-generation autonomous and assistive robotic platforms.

Research Focus

Key Achievements

6
H-Index
10
Papers
239
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot
140 citations · 2016
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Indian Institute of Technology Kanpur, University of Saskatchewan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago