Tanusha Mittal
Papers
1
Total Citations
2
H-Index
1
About
Tanusha Mittal is an emerging researcher in the field of swarm intelligence and robotics, with a focused interest in odor source localization—a challenging problem with applications in environmental monitoring, search-and-rescue, and security. Her most cited work, "Performance Evaluation of PSO and its Variants for Odor Source Localization" (2023), critically examines the effectiveness of particle swarm optimization and its algorithmic variants in guiding autonomous agents to trace chemical plumes. By systematically comparing convergence speed, accuracy, and robustness across different PSO adaptations, Mittal provides a valuable benchmark for researchers seeking to deploy nature-inspired algorithms in real-world robotic olfaction. Though her citation count is still growing, her contribution lies in clarifying which PSO configurations best handle the dynamic, turbulent environments typical of odor dispersal. Her work bridges theoretical swarm intelligence with practical robotic deployment, offering a clear roadmap for future optimization in autonomous sensing. As her research gains traction, Mittal is poised to become a key voice in the intersection of bio-inspired computation and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1