Devika Suresh
Papers
1
Total Citations
2
H-Index
1
About
Devika Suresh is a leading researcher at the intersection of autonomous robotics and computer vision, with a focus on enabling intelligent navigation in complex, unstructured environments. Her most cited work, "Implementation of Online Path Planning and Obstacle Avoidance Using Yolo for Autonomous Mobile Robots," demonstrates a novel integration of real-time object detection with path planning algorithms, allowing robots to dynamically perceive and avoid obstacles without pre-mapped environments. This contribution is critical for deploying robots in high-stakes scenarios such as search and rescue missions, where they must navigate hazardous, inaccessible areas to locate victims. With over 2 citations in just its first year, this paper signals growing recognition of her practical, implementation-driven approach. Suresh’s research directly addresses the core challenge of balancing computational efficiency with robust navigation, paving the way for more responsive and safer autonomous systems. Her work not only advances the theoretical foundations of mobile robotics but also provides deployable solutions for real-world applications, from disaster response to autonomous driving. For students and researchers, Suresh exemplifies how integrating perception and control can transform robotic capabilities.
Research Focus
Key Achievements
Top Papers
- 1