Jayant Jagtap
Papers
2
Total Citations
29
H-Index
1
About
Jayant Jagtap is a researcher at the intersection of artificial intelligence, robotics, and rehabilitation medicine, with a primary focus on leveraging machine learning to improve human health and robotic autonomy. His most impactful work, "Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery" (2025), has already garnered 28 citations, highlighting its significance in a rapidly evolving field. This contribution outlines a comprehensive framework for integrating AI-driven tools across the entire stroke recovery continuum, from early intervention to chronic management, promising to personalize and enhance patient outcomes. In parallel, Jagtap addresses fundamental challenges in mobile robotics with his work on "Early Terrain Identification for Mobile Robots Using Inertial Measurement Sensors and Machine Learning Techniques" (2024). This research enables robots to classify and adapt to diverse surfaces in real time, improving navigation safety and operational efficiency in unstructured environments. By bridging the gap between clinical AI applications and robust robotic perception, Jagtap’s work demonstrates a versatile commitment to solving real-world problems, making him a notable emerging voice in both biomedical engineering and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2