Sasi Rekha Sankar

SRM Institute of Science and Technology

Papers

1

Total Citations

66

H-Index

1

About

Dr. Sasi Rekha Sankar is a leading researcher in assistive robotics and artificial intelligence, with a focus on designing intelligent systems for medical applications. Her most-cited work, the 2023 chapter "Design and Development of Robots for Medical Assistance" (66 citations), introduces the Fuzzy Temporal Rule-based Semantic Analysis algorithm—a novel framework that enables robots to perform voice identification, object recognition, grasping, feature selection, and classification with enhanced accuracy. This contribution addresses critical challenges in human-robot interaction, particularly for healthcare settings where adaptive, context-aware assistance is vital. Dr. Sankar’s research bridges AI and robotics to create more responsive, autonomous medical aids, improving patient care and operational efficiency. Her work has garnered significant attention, reflecting its practical impact on the field. By integrating temporal reasoning with semantic analysis, she has advanced the capabilities of assistive robots, paving the way for smarter, safer medical technologies. Her achievements underscore a commitment to translating complex AI concepts into real-world solutions, making her a notable figure in the intersection of robotics, healthcare, and artificial intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
66
Total Citations
66
Avg Citations/Paper
🏆 Most Cited Paper
Design and Development of Robots for Medical Assistance
66 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: SRM Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago