Priyanka Sudhakara
Papers
9
Total Citations
160
H-Index
6
About
Priyanka Sudhakara is a roboticist specializing in trajectory planning and autonomous navigation for wheeled mobile robots and surgical systems. Her research focuses on enhancing sampling-based and bio-inspired algorithms—such as the Artificial Potential Field, A-Star, Ant Colony Optimization, and Artificial Bee Colony—to generate smooth, collision-free paths in complex environments. Her most impactful work, "Obstacle Avoidance and Navigation Planning of a Wheeled Mobile Robot using Amended Artificial Potential Field Method" (2018), has garnered 67 citations, demonstrating its influence on mobile robot navigation. She also advanced path optimization through her 2016 paper on the Enhanced A-Star Algorithm (48 citations) and contributed to surgical robotics with trajectory planning for pliable needle procedures. By integrating spline techniques with Probabilistic Roadmaps and bidirectional RRT*, Sudhakara has improved path smoothness and real-world applicability. Her work bridges theoretical algorithm development and practical robotic deployment, making her a notable contributor to intelligent motion planning.
Research Focus
Key Achievements
Top Papers
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- 2Trajectory Planning of a Mobile Robot using Enhanced A-Star Algorithm48 citations · 2016
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- 4Mobile Robot Navigation using Amended Ant Colony Optimization Algorithm11 citations · 2016
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