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About

S.L.P. Yasakethu is at the forefront of integrating artificial intelligence, robotics, and rehabilitation engineering, with a primary focus on developing intelligent, adaptive systems for healthcare. Their most impactful contribution is the design of a Long Short-Term Memory (LSTM)-enabled electromyography-controlled wearable robotic exoskeleton for upper arm rehabilitation (2025, 9 citations). This work pioneers the use of deep learning to interpret muscle signals in real time, enabling the exoskeleton to provide personalized, adaptive support that accelerates recovery after illness, injury, or surgery. Yasakethu has also advanced human-robot interaction through a computer vision-based system for real-time upper body motion tracking (2023, 2 citations), which enhances teleoperation and intuitive robot control without the need for wearable sensors. Their systematic review on biomimetic robotics and sensing (2025, 2 citations) synthesizes the state of the art in bio-inspired healthcare technologies, identifying critical gaps for future innovation. Additionally, Yasakethu addresses the emerging challenge of data protection and privacy in robotic environments (2024, 1 citation), bridging the gap between the metaverse and robotics. With a growing citation record and a focus on translating cutting-edge AI into practical rehabilitation tools, Yasakethu is a rising voice in assistive robotics and human-centered technology.