Shivam Thukral

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About

Shivam Thukral is a robotics researcher whose work focuses on developing efficient path planning algorithms for autonomous systems, particularly in obstacle-rich environments. His most cited contribution, "A virtual bug planning technique for 2D robot path planning" (2018, 9 citations), introduces an innovative approach inspired by the classic bug algorithm. In this method, Thukral simulates virtual bugs that, upon encountering an obstacle, split into two entities that explore the obstacle's boundary in opposite directions. This technique enables rapid computation of feasible paths or determination of path nonexistence, offering a computationally lightweight alternative to traditional planners. The work is notable for its elegance in balancing exploration efficiency with obstacle avoidance, making it particularly valuable for real-time applications in constrained environments. Thukral's research bridges theoretical algorithm design and practical robotics, contributing to the broader field of autonomous navigation. His approach has been cited in subsequent studies on bio-inspired path planning and multi-agent systems, underscoring its relevance to ongoing developments in intelligent robotics.