T. V.N. Sriram
Papers
3
Total Citations
34
H-Index
3
About
T. V.N. Sriram is a researcher in robotics and computational geometry, with a primary focus on motion planning for autonomous systems. His major contribution lies in developing a simple yet powerful algorithm for complete motion planning of translating polyhedral robots in three-dimensional environments. This work, published across multiple venues from 2005 to 2006, introduces a novel sampling-based approach that constructs a star-shaped roadmap of the free space without requiring an explicit geometric representation. By partitioning the free space into star-shaped regions, each guarded by a single point that can see every location within it, Sriram’s algorithm efficiently captures the connectivity of the environment, enabling complete path planning for robots with translational motion. His most-cited paper has garnered 21 citations, reflecting its influence on subsequent research in sampling-based planning and spatial reasoning. This work stands out for its elegance and practicality, offering a scalable solution to a classic problem in robotics. Sriram’s contributions are particularly notable for bridging theoretical completeness with computational efficiency, making his algorithm a valuable tool for students and researchers exploring motion planning in complex, obstacle-filled spaces.
Research Focus
Key Achievements
Top Papers
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