Tript Sharma

Papers

Total Citations

H-Index

About

Tript Sharma’s research lies at the intersection of assistive robotics and autonomous inspection systems, with a focus on enhancing human capability and operational safety. His most cited work, “HandAid: A Seven DoF Semi-Autonomous Robotic Manipulator,” addresses a critical challenge for individuals with upper-limb differences: the difficulty of bimanual grasping in daily tasks. By developing a semi-autonomous, seven-degree-of-freedom robotic arm, Sharma’s design enables intuitive object manipulation, offering a practical, low-cost solution to improve independence and quality of life for specially-abled users. In parallel, his work on “Crack Detection and Localization with Real-Time Path Tracking using Stereo Vision for Autonomous Underwater Welding” tackles a pressing industrial need. Here, Sharma integrates stereo vision and real-time tracking to enable autonomous underwater vehicles to detect and localize structural cracks on pipelines and ship hulls—a task critical for preventing failures in hostile marine environments. Though early in his career, with 3 and 2 citations respectively, these contributions demonstrate a dual commitment to human-centered robotics and robust autonomous systems. His work signals a promising trajectory in creating intelligent machines that both assist and protect.