Saumya Saumya
Papers
1
Total Citations
2
H-Index
1
About
Saumya Saumya is a researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and optimization algorithms. Their 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—balancing obstacle avoidance with the strategic collection of gain points. This contribution addresses a critical gap in the field by optimizing not just for shortest distance or minimal time, but for multi-objective efficiency in real-world robotic tasks. With 2 citations already, this early-career work signals growing recognition for its practical relevance. Saumya’s research has implications for warehouse automation, search-and-rescue missions, and autonomous exploration, where robots must make intelligent trade-offs. Their work demonstrates a strong command of evolutionary computation and its application to dynamic, obstacle-rich settings. As the field moves toward more adaptive and resource-aware robots, Saumya Saumya’s contributions offer a promising foundation for future advancements in autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1