S. Gowtham

Hindustan Institute of Technology and Science

Papers

Total Citations

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About

S. Gowtham is a robotics researcher specializing in assistive and human-robot interaction technologies, with a focus on biosignal control and intelligent automation. His work bridges biomedical engineering and artificial intelligence, particularly through the development of robotic systems that respond to human physiological signals. Gowtham’s most cited paper, "EMG-Based Control of a 5 DOF Robotic Manipulator" (2020, 15 citations), demonstrates how electromyographic signals can intuitively control robotic arms, advancing prosthetics and industrial assistance. He further explores brain-computer interfaces in "Mind Wave Controlled Assistive Robot" (2021, 8 citations), using EEG signals to enable hands-free operation for individuals with motor impairments. His recent work, "A DT Framework based AI Robot For Facial Recognition using IoT" (2023), integrates digital twin technology with emotion recognition for enhanced human-robot interaction, while "Simulation of Autonomous Multifunctional Mobile Robot using Machine Vision" (2021) addresses limitations in conventional sensors by proposing vision-based navigation for versatile mobile robots. Gowtham’s research directly impacts rehabilitation robotics and smart automation, offering practical solutions for accessibility and efficiency. His contributions are shaping the future of intuitive, human-centered robotic systems.