B. Manickavasagam

Papers

Total Citations

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About

B. Manickavasagam is a researcher specializing in robotic surgery and trajectory planning, with a particular focus on enhancing the safety and precision of autonomous surgical systems. Their most notable contribution is the development of the Amended Probabilistic Roadmaps (A-PRM) algorithm, introduced in a 2018 paper that has garnered 3 citations. This work addresses critical challenges in motion planning for robotic surgery by improving the efficiency and reliability of pathfinding in complex, dynamic anatomical environments. By refining traditional probabilistic roadmap methods, Manickavasagam’s approach reduces computational overhead while maintaining robust collision avoidance—a key advancement for real-time surgical applications. Though their citation count is modest, the work represents a foundational step toward integrating intelligent planning into minimally invasive procedures. Their research sits at the intersection of robotics, artificial intelligence, and biomedical engineering, aiming to bridge the gap between theoretical algorithms and clinical deployment. For students and researchers in surgical robotics, Manickavasagam’s A-PRM offers a practical framework for tackling the unique constraints of operating in confined, sensitive spaces, highlighting the ongoing need for adaptive, safe, and computationally efficient solutions in autonomous surgery.