Reeju Bhattacharya
Indian Institute of Engineering Science and Technology, Shibpur
Papers
2
Total Citations
3
H-Index
1
About
Reeju Bhattacharya is a researcher at the forefront of human-robot coexistence, specializing in computer vision and assistive robotics. His primary research focuses on the critical challenge of visual walking stick detection—a nuanced problem that enables mobile robots to safely and accurately follow human targets in shared environments. Bhattacharya’s major contributions include developing novel detection frameworks that overcome photometric variations and environmental clutter, ensuring robust performance in real-world settings. His 2024 paper, "Photometric Invariant Visual Walking Stick Detection in Human-Robot Coexisting Environments: A Stratified Random Sampling Based Approach," introduces a stratified random sampling technique that achieves photometric invariance, earning 2 citations for its practical significance. Building on this, his 2025 work, "Kernel Density Estimation Based Clustering for Visual Walking Stick Detection," advances the field with a clustering-based approach that enhances detection accuracy under varying conditions. While his citation counts are early-stage, Bhattacharya’s work addresses a niche yet vital aspect of human-robot interaction, with potential applications in healthcare, elderly assistance, and autonomous navigation. His research stands out for its methodical approach to a problem often overlooked in robotics, making him a promising voice in safe and adaptive human-robot coexistence.
Research Focus
Key Achievements
Top Papers
- 1
- 2