V. Yesvanthkrishna

Papers

Total Citations

H-Index

About

V. Yesvanthkrishna is a researcher at the forefront of assistive robotics and human-machine interaction, with a focused expertise in bionic limb control and AI-driven prosthetic systems. Their most cited work, "Gesture-based Control of a Bionic Arm – A Prototype Design" (2023, 4 citations), introduces a novel prototype that leverages artificial intelligence to interpret human gestures for seamless, intuitive control of a robotic hand. This contribution addresses a critical challenge in prosthetics: enabling natural, decision-making movements that mirror human dexterity. By integrating AI for real-time gesture recognition and adaptive motor control, Yesvanthkrishna’s design aims to enhance precision and reduce error in tasks ranging from daily living to industrial production. The work stands out for its practical approach to bridging the gap between human intent and machine action, offering a scalable solution for next-generation bionic limbs. Though early in its citation impact, this prototype has already sparked interest in the field of rehabilitation engineering, positioning Yesvanthkrishna as an emerging voice in the quest for flawless, human-like robotic assistance.