Orchid Chetia Phukan
Papers
2
Total Citations
50
H-Index
2
About
Orchid Chetia Phukan is a pioneering researcher at the intersection of robotics, swarm intelligence, and disaster response. Her work centers on developing algorithms that enable multi-robot teams to autonomously explore unknown, communication-limited environments—critical for urban search and rescue operations. Her most cited paper, "From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue" (2023, 39 citations), introduces a novel hybrid algorithm combining Lévy Flight and Particle Swarm Optimization (LF-PSO). This approach significantly improves exploration efficiency without relying on global positioning, bridging the gap between simulated models and real-world deployment. A subsequent 2025 paper (11 citations) extends this work, further validating its practical applicability. Phukan’s contributions are notable for addressing a key challenge in robotics: transitioning from controlled simulations to unpredictable, real-world disaster scenarios. Her research has been recognized for its potential to save lives by enabling faster, more reliable robotic reconnaissance in collapsed structures or hazardous zones. With growing citations and a clear trajectory toward field-ready systems, Phukan is establishing herself as a leading voice in resilient, autonomous multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2