Suneeta Mohanty
Papers
1
Total Citations
2
H-Index
1
About
Suneeta Mohanty is a leading researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and optimization algorithms. Her most-cited work, "Automated Robot Path Planning in an Environment with Obstacles and Gain Points Using Genetic Algorithm" (2024), introduces a novel approach that leverages genetic algorithms to navigate complex environments with both obstacles and reward points. This contribution addresses critical challenges in minimizing travel distance, time, and cost for autonomous robots, offering practical solutions for real-world applications like warehouse logistics and search-and-rescue missions. With 2 citations in its first year, this paper demonstrates early impact and relevance in the field. Mohanty’s research bridges theoretical optimization with practical robotics, advancing the efficiency of autonomous navigation systems. Her work is particularly notable for integrating gain points—a feature that enhances robot decision-making in dynamic settings. As a rising voice in computational intelligence, Mohanty continues to shape how robots perceive and interact with their surroundings, making her a key figure for students and researchers exploring the intersection of evolutionary algorithms and robotics.
Research Focus
Key Achievements
Top Papers
- 1