Salam Shuleenda Devi
Papers
1
Total Citations
2
H-Index
1
About
Salam Shuleenda Devi is a researcher specializing in robotics and autonomous navigation, with a particular focus on developing intelligent motion planning algorithms for mobile robots operating in unknown environments. Her most notable contribution is the "Modified Artificial Potential Field Approaches for Mobile Robot Navigation in Unknown Environments" (2019), which addresses critical challenges in real-time obstacle avoidance and path planning by enhancing traditional artificial potential field methods. This work, cited twice, introduces novel modifications that improve robot safety and efficiency in dynamic, unstructured settings—a key advancement for applications in search-and-rescue, industrial automation, and autonomous vehicles. Devi’s research bridges theoretical control systems with practical robotic implementation, offering solutions that reduce computational complexity while maintaining robust navigation performance. Her work is particularly valuable for students and engineers seeking to understand how classical algorithms can be adapted for modern autonomous systems. By refining foundational approaches, Devi contributes to the broader goal of making mobile robots more reliable and adaptable in real-world scenarios, laying groundwork for future innovations in intelligent navigation.
Research Focus
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Top Papers
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