Niva Das
Papers
1
Total Citations
4
H-Index
1
About
Niva Das is a leading researcher in autonomous robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) frameworks—a cornerstone technology enabling robots to navigate and understand unknown environments. Her most influential work, the comprehensive 2022 review "Evolution of Simultaneous Localization and Mapping Framework for Autonomous Robotics—A Comprehensive Review," has garnered 4 citations and stands as a definitive resource for scholars and engineers alike. In this paper, Das masterfully traces the trajectory of SLAM from its foundational algorithms to modern, learning-based approaches, emphasizing its critical role in simplifying human-machine interaction and meeting industrial demands. Her analysis illuminates how machine intelligence drives decision-making within complex operational state-spaces, offering a clear roadmap for future innovations. Das’s contributions are particularly valuable for students and researchers entering the field, as she distills decades of progress into actionable insights. By bridging theoretical advances with practical control mechanisms, her work continues to shape the next generation of autonomous systems, from warehouse logistics to exploratory robotics.
Research Focus
Key Achievements
Top Papers
- 1