Shivanjali Ranashing
Papers
1
Total Citations
4
H-Index
1
About
Shivanjali Ranashing is a researcher at the forefront of human-robot interaction and rehabilitation robotics, with a particular focus on developing intelligent systems for multi-patient, multi-robot environments. Her most notable contribution is the development of an automated, dynamic patient-robot task assignment and scheduling system for robotic rehabilitation gyms—a novel concept that allows multiple patients to exercise simultaneously using multiple robots. This work, published in 2022, demonstrates how real-time optimization can significantly enhance the effectiveness of group-based robotic therapy, moving beyond static, one-on-one setups. By simulating complex scheduling scenarios, Ranashing’s research addresses a critical bottleneck in rehabilitation: how to maximize clinical outcomes and robot utilization in shared therapy spaces. Though early in her career, her work has already garnered attention, with her key paper cited 4 times, signaling growing interest in her approach. Her contributions are particularly impactful for the future of scalable, automated rehabilitation, promising more efficient and personalized care in clinical settings. Ranashing’s research sits at the intersection of robotics, artificial intelligence, and healthcare, offering a compelling vision for the next generation of assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1