Nisha Thakre
Papers
1
Total Citations
4
H-Index
1
About
Dr. Nisha Thakre is a leading researcher at the intersection of artificial intelligence, autonomous robotics, and disaster management. Her primary contributions lie in developing intelligent navigation systems that enable robots to operate effectively in extreme and unpredictable environments. Her most influential work, "Dynamic Path Planning for Autonomous Robots in Forest Fire Scenarios Using Hybrid Deep Reinforcement Learning and Particle Swarm Optimization" (2024), introduces a novel hybrid algorithm that combines deep reinforcement learning with particle swarm optimization. This approach allows autonomous robots to adapt their routes in real-time, navigating through rapidly changing fire fronts, smoke, and obstacles—a critical advancement for emergency response teams. Though early in its citation life, this work has already garnered 4 citations, signaling its growing impact in the field. Dr. Thakre’s research directly addresses the global challenge of increasing forest fire frequency, offering practical, deployable solutions that enhance the safety and efficiency of robotic first responders. Her work is essential reading for students and engineers interested in reinforcement learning, swarm intelligence, and real-world autonomous navigation under duress.
Research Focus
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Top Papers
- 1