Sanjif Rajaratnam
Papers
2
Total Citations
38
H-Index
2
About
Sanjif Rajaratnam is a leading researcher in autonomous robotics, with a focus on human-robot interaction and multi-agent systems. His work addresses critical challenges in deploying robots in human-centered environments, particularly for assistive and social applications. Rajaratnam’s major contributions include developing novel autonomous person search techniques that enable robots to locate and engage with multiple dynamic users across complex, multi-room settings—a foundational capability for social robotics. His 2019 paper on this topic, “Person Finding: An Autonomous Robot Search Method for Finding Multiple Dynamic Users in Human-Centered Environments,” has garnered 23 citations, reflecting its influence on the field. Additionally, his 2017 work, “Robots in Retirement Homes: Person Search and Task Planning for a Group of Residents by a Team of Assistive Robots,” introduced a general multirobot task planning and execution architecture for heterogeneous robots assisting multiple users. With 15 citations, this paper demonstrates the practical impact of his research in real-world settings, such as retirement homes, where robots provide daily assistance to residents. Rajaratnam’s work bridges the gap between theoretical planning and real-world deployment, making him a key figure in advancing autonomous, socially aware robotics for healthcare and service applications.
Research Focus
Key Achievements
Top Papers
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- 2