Pratyush Pratim Devnath
Indian Institute of Engineering Science and Technology, Shibpur
Papers
1
Total Citations
2
H-Index
1
About
Pratyush Pratim Devnath is a researcher focused on the intersection of wearable technology, human-robot interaction, and sensor-based control systems. His most cited work, "Human—Hand Posture Classification For Robotic Teleoperation Using Wearable Sensor" (2019), introduces an efficient posture classification algorithm that enables intuitive control of a teleoperated robotic gripper. By attaching two Inertial Measurement Unit sensors to a wearable glove, Devnath’s system allows human operators to perform five distinct hand postures, translating natural gestures into precise robotic actions for grasping objects of varying shapes. This contribution advances the field of teleoperation by reducing the complexity of control interfaces, making robotic manipulation more accessible and responsive. With 2 citations, this foundational work demonstrates early impact in wearable sensing and gesture recognition. Devnath’s research holds promise for applications in assistive robotics, remote manipulation, and human-machine collaboration, showcasing his ability to bridge sensor technology with practical robotic control. His work underscores a commitment to developing intuitive, low-cost solutions for real-world robotic teleoperation challenges.
Research Focus
Key Achievements
Top Papers
- 1