Anusree Rajan

Papers

1

Total Citations

2

H-Index

1

About

Anusree Rajan is a robotics researcher whose work focuses on advancing control systems for autonomous mobile robots, with a particular emphasis on trajectory tracking and event-triggered control strategies. Her most-cited paper, "Event-Triggered Polynomial Control for Trajectory Tracking by Unicycle Robots" (2023), introduces an innovative approach where control inputs between events are represented as polynomials, with coefficients optimized to minimize approximation errors of continuous-time signals. This work addresses critical challenges in reducing communication and computational overhead while maintaining precise tracking performance—a key concern for resource-constrained robotic platforms. Though early in her career, Rajan’s contributions are gaining recognition for their potential to enhance efficiency in real-time robotic control. Her research sits at the intersection of nonlinear control theory, event-driven systems, and mobile robotics, offering practical solutions for applications ranging from warehouse automation to autonomous navigation. As her citation count grows, Rajan is establishing herself as a promising voice in the development of smarter, more efficient control architectures for next-generation robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Event-Triggered Polynomial Control for Trajectory Tracking by Unicycle Robots
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago