Papers
3
Total Citations
13
H-Index
2
About
Debasish Kundu’s research lies at the intersection of computer vision, embedded robotics, and human-robot interaction, with a focus on creating intuitive, multimodal control systems. His work pioneers the integration of real-time image processing, gesture recognition, and voice control to enable seamless communication between humans and machines. In his most-cited paper (8 citations), Kundu developed an object-tracking algorithm using MATLAB that allowed an embedded robot to follow targets autonomously—a foundational contribution to smart-home and assistive robotics. He further advanced this field by introducing a socially assistive robot that combined face motion tracking with voice recognition (3 citations), demonstrating how low-cost sensors could power responsive, user-friendly interfaces. His 2015 work on a customized image editor coupled with gesture- and voice-controlled robotics (2 citations) showcased a unified platform for non-expert users to interact with complex systems. Though early in his career, Kundu’s emphasis on accessible, real-time control systems has laid important groundwork for assistive technologies, particularly for elderly or disabled users. His research bridges the gap between theoretical computer vision and practical, deployable robotics, making him a rising voice in embedded AI and human-centered automation.
Research Focus
Key Achievements
Top Papers
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