Shaswati Patra
Papers
1
Total Citations
2
H-Index
1
About
Shaswati Patra is a rising researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and optimization. Her work addresses the critical challenge of enabling robots to navigate complex environments that contain both obstacles and gain points—locations that offer rewards or benefits. In her most-cited paper, "Automated Robot Path Planning in an Environment with Obstacles and Gain Points Using Genetic Algorithm" (2024), Patra introduces a novel approach that leverages genetic algorithms to simultaneously minimize travel distance, time, and cost while ensuring efficient navigation. This contribution is significant as it moves beyond traditional obstacle avoidance to incorporate strategic decision-making, making her research highly relevant for applications in warehouse logistics, search-and-rescue missions, and autonomous exploration. Although her citation count is currently modest (2 citations), her work has already garnered attention for its practical implications and innovative use of evolutionary computation. Patra’s research stands out for its potential to enhance the autonomy and efficiency of robotic systems in real-world, dynamic settings, marking her as a promising contributor to the field.
Research Focus
Key Achievements
Top Papers
- 1