Papers
4
Total Citations
12
H-Index
2
About
Dr. Jyotsna Bapat is a pioneering researcher at the intersection of the Internet of Things (IoT), assistive robotics, and digital healthcare. Her most impactful work centers on developing intelligent, IoT-enabled rehabilitation systems that bring advanced therapy out of clinical settings and into patients’ homes. Dr. Bapat’s key contributions include the design of "XoRehab," an IoT-integrated wheelchair system for lower limb rehabilitation, and a novel 9-DoF robotic system augmented with surface Electromyography (sEMG) signals for both upper and lower limb recovery. These systems allow for remote supervision by professionals, ensuring continuous, data-driven therapy while minimizing the risk of further injury. Her work on robotic extensions to IoT testbeds and digital twins for smart factory networks further demonstrates her broad expertise in creating intelligent, autonomous environments. With her most cited papers each garnering 4 citations, Dr. Bapat’s research is establishing a critical foundation for the future of accessible, technology-driven rehabilitation. Her innovative approach promises to transform the recovery journey, making effective therapy more convenient and personalized for patients worldwide.
Research Focus
Key Achievements
Top Papers
- 1XoRehab: IoT Enabled Wheelchair based Lower Limb Rehabilitation System4 citations · 2023
- 2
- 3Digital Twin for Smart Factory Network QoS Enhancement Experiments2 citations · 2023
- 4Robotic Extension to IoT Testbed for Indoor Environment Supervision2 citations · 2019