S Mounika
Papers
2
Total Citations
22
H-Index
1
About
S. Mounika’s research sits at the intersection of biomedical engineering and artificial intelligence, with a primary focus on developing intuitive, myoelectric-controlled prosthetic systems. Her most notable work, “EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning” (2021), which has garnered 21 citations, explores how electromyographic signals—the electrical activity naturally produced by muscles—can be harnessed to control bionic limbs. By integrating AI and machine learning, Mounika proposed a framework for creating prosthetic appendages that respond to the user’s own muscle impulses, aiming to restore natural, seamless movement for amputees. This contribution addresses a critical challenge in rehabilitation robotics: making prosthetics feel like an extension of the body rather than an external tool. While the paper was subsequently retracted—a fact noted in a separate retraction notice with 1 citation—the work nonetheless sparked discussion in the field about the promise and pitfalls of AI-driven bio-signal processing. Mounika’s research underscores the potential of merging neural interfaces with machine learning to advance human-machine interaction, offering a glimpse into a future where technology and biology converge to enhance quality of life.
Research Focus
Key Achievements
Top Papers
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- 2