Abhishek Badholia

Mahaveer Academy of Technology and Science University

Papers

Total Citations

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About

Abhishek Badholia is a researcher at the forefront of assistive robotics and human-machine interaction, with a particular focus on integrating speech recognition with robotic control systems. His most cited work, "Speech Recognition Based Robotic Arm Writing" (2022), has garnered 30 citations, demonstrating its influence in the field. This paper presents a novel framework that enables a robotic arm to replicate human handwriting through voice commands, bridging the gap between natural language processing and precision robotics. Badholia’s contributions are significant for developing accessible technologies, particularly for individuals with motor disabilities, by allowing intuitive, hands-free control of robotic manipulators. His research addresses key challenges in real-time speech-to-action translation, noise robustness, and adaptive motion planning. Beyond this flagship study, Badholia continues to explore the integration of AI-driven perception with robotic actuation, aiming to create more responsive and user-friendly systems. His work has been recognized for its practical applications in education, rehabilitation, and industrial automation, marking him as an emerging voice in the intersection of speech technology and robotics.