Sudip Hazra
Papers
2
Total Citations
9
H-Index
2
About
Sudip Hazra is a rising researcher at the intersection of assistive robotics and human–machine interaction, focusing on empowering individuals with mobility and upper limb disabilities. His work centers on developing affordable, intuitive robotic systems that bridge the gap between human intent and machine action. Hazra’s major contributions include the design of a behavioral sequence framework for human–robot interaction that integrates brain-computer interfaces (BCI) with haptic feedback, enabling users to control assistive devices through neural signals and tactile cues. He also pioneered an affordable telerobotic system architecture for grasp training and object manipulation, addressing the challenges faced by wheelchair users in performing daily tasks. Despite being early in his career, his most-cited paper (2023) has garnered 6 citations, reflecting growing interest in his practical, user-centered approach. Hazra’s work is notable for its emphasis on low-cost, scalable solutions that make advanced robotic assistance accessible, with potential applications in rehabilitation and independent living. His research promises to redefine how technology can restore agency and quality of life for those with physical impairments.
Research Focus
Key Achievements
Top Papers
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- 2