Kanchon Kanti Podder
Papers
2
Total Citations
6
H-Index
1
About
Dr. Kanchon Kanti Podder is pioneering the future of human-robot collaboration through intuitive, non-verbal communication. His research centers on enabling robots to learn and recognize human gestures and hand signals with remarkable efficiency, addressing critical challenges in noisy, real-world environments like construction sites and airport ramps. Dr. Podder’s major contribution is the development of the **IHSR framework**, a novel system that allows robots to learn novel hand signals from just a few samples, significantly reducing the data burden for deploying collaborative robots. This work, his most cited with 5 citations, lays the foundation for device-free, reliable human-robot interaction. Building on this, his recent work on **Replay-Based Domain Incremental Learning** tackles the crucial problem of cross-user variability, proposing a memory-efficient method to ensure gesture recognition systems remain robust when faced with new users or sensors. By solving these core challenges in field robotics, Dr. Podder is directly advancing the practicality and safety of distributed robot teams, making him a key voice in the next generation of adaptive, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2