Anusha Alexander
Papers
2
Total Citations
7
H-Index
1
About
Anusha Alexander is a researcher at the forefront of autonomous systems and mobile robotics, with a primary focus on advanced path planning and adaptive navigation. Her work addresses critical challenges in enabling robots to operate safely and efficiently in complex, dynamic environments. Her most cited paper, "A Comprehensive Survey of Path Planning Algorithms for Autonomous Systems and Mobile Robots: Traditional and Modern Approaches" (2025, 6 citations), provides a vital synthesis of the field, systematically comparing classical methods with emerging AI-driven techniques and outlining the persistent hurdles in real-world deployment. Building on this foundation, Alexander’s notable contribution, "Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning" (2025), tackles the high-stakes problem of robot navigation in unpredictable scenarios. This work demonstrates a novel approach that allows mobile robots to not only plan paths but also rapidly adapt their behavior in high-density crowds and emergency situations, a significant step toward reliable autonomous systems in human-centric spaces. Her research is essential reading for anyone interested in the intersection of robotics, reinforcement learning, and real-world safety, establishing her as an emerging authority in intelligent navigation.
Research Focus
Key Achievements
Top Papers
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- 2