Rajeev Surati
Papers
2
Total Citations
33
H-Index
2
About
Rajeev Surati’s research lies at the intersection of augmented reality, robotics, and cyber-physical systems (CPS), with a focus on enabling safer, more efficient hardware prototyping and algorithm testing. His most influential work introduces **Measurable Augmented Reality (MAR)** as a platform for prototyping CPS, particularly multirobot systems where planning, control, perception, and learning remain open challenges. By overlaying virtual sensor data and environmental constraints onto physical robots, Surati’s approach allows researchers to test algorithms under realistic, yet controllable, conditions—bypassing the cost and risk of full physical deployment. His 2016 paper, with 21 citations, demonstrates how MAR can handle unknown or stochastic transition dynamics, helping robots select optimal actions in real time. A related 2015 paper (12 citations) further establishes MAR as a bridge between simulation and reality, especially for autonomous vehicle applications. Surati’s contributions are particularly valuable for students and engineers seeking to validate perception and control algorithms without extensive hardware iterations. His work continues to influence the design of testbeds for resilient, adaptive CPS, making him a key figure in advancing measurable, repeatable experimentation in robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2MAR-CPS: Measurable Augmented Reality for Prototyping Cyber-Physical Systems12 citations · 2015