Papers
3
Total Citations
13
H-Index
2
About
Sudipta Ghosh’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 centers on integrating image processing, gesture recognition, and voice control to enable real-time, socially assistive robotic behaviors. In his most cited paper (2016, 8 citations), Ghosh developed an object-tracking system using MATLAB that allowed an embedded robot to follow targets autonomously—a foundational contribution to vision-based robotic navigation. He extended this work with a real-time face motion and voice recognition framework (2015, 3 citations) for socially assistive wireless robots, demonstrating how non-contact interfaces can make robotics more accessible for elderly or disabled users. His third notable study (2015, 2 citations) combined a customizable image editor with gesture- and voice-controlled robotics, showcasing a versatile platform for both creative and assistive applications. Though early in his career, Ghosh’s integrated approach—fusing low-cost embedded systems with robust image processing—has practical implications for smart-home automation and rehabilitation robotics. His work highlights a growing trend toward human-centered, multimodal control in autonomous systems.
Research Focus
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Top Papers
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