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About

Prosenjit Kumar Ghosh is a pioneering researcher at the intersection of soft robotics, intelligent sensing, and the Internet of Things (IoT). His work focuses on developing stretchable, liquid metal-based sensors and sensorized soft effectors that enable robots to interact safely and intelligently with their environment. Ghosh’s major contributions include the design of soft robotic grippers integrated with edge-intelligent IoT frameworks—a key advancement for applications in smart prosthetics, human-machine interfaces, and assistive technologies. His most cited paper, “Stretchable Sensors for Soft Robotic Grippers in Edge-Intelligent IoT Applications” (2023, 13 citations), demonstrates how soft sensing can be combined with real-time data processing to create responsive, adaptive systems. Ghosh also addresses the educational gap in emerging technologies, as seen in his work “IoT-enabled Soft Robotics for Electrical Engineers” (2022, 7 citations), which prepares students for cross-disciplinary careers. His HAPT-EDGE framework (2022) advances haptic feedback in soft effectors for smart assistive applications, while his bio-inspired designs (2023) draw from biomimicry to create sustainable, modular soft robots. With a growing citation record and a focus on real-world impact, Ghosh is shaping the future of soft, intelligent robotics.