Anuradha Laishram
Papers
1
Total Citations
7
H-Index
1
About
Anuradha Laishram is a robotics researcher whose work focuses on solving the critical challenge of mobile robot navigation (MRN) in cluttered, dynamic environments. Her key research areas include path planning, obstacle avoidance, and the application of nature-inspired algorithms to autonomous systems. Her most cited work, "Optimal Path Planning for Mobile Robot Navigation Using FA-TPM in Cluttered Dynamic Environments" (2023), introduces a novel approach that combines the Firefly Algorithm (FA) with a Tangent-based Path Modification (TPM) technique. This method significantly improves a robot's ability to navigate safely and efficiently through spaces with moving obstacles, a notoriously difficult problem in robotics. By simulating the swarm behavior of fireflies, Laishram’s algorithm offers a robust, adaptive solution for real-time navigation. With 7 citations, this paper has already garnered attention for its practical implications in autonomous systems. Laishram’s contributions advance the field by demonstrating how bio-inspired computation can overcome the limitations of traditional path planning, making her work essential reading for students and researchers interested in intelligent robotics and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1