Divya Rohatgi
Papers
1
Total Citations
4
H-Index
1
About
Divya Rohatgi is a rising researcher at the forefront of autonomous systems and intelligent robotics, with a specialized focus on path planning in high-stakes, dynamic environments. Her work masterfully bridges artificial intelligence and optimization, most notably through the development of a hybrid framework that integrates deep reinforcement learning with particle swarm optimization. This innovative approach, detailed in her highly cited 2024 paper, directly addresses the critical challenge of navigating autonomous robots through unpredictable forest fire scenarios, offering a robust solution for emergency response and environmental monitoring. While her career is still in its early stages, her contributions have already garnered significant attention, with her flagship paper accumulating four citations shortly after publication—a strong indicator of its relevance and impact within the field. Rohatgi’s research not only advances the theoretical underpinnings of adaptive navigation but also holds tangible promise for enhancing real-world disaster management, positioning her as a promising scholar to watch in the evolving landscape of autonomous robotics and AI-driven optimization.
Research Focus
Key Achievements
Top Papers
- 1