Vamsi Kalagaturu

Papers

Total Citations

H-Index

About

Vamsi Kalagaturu is a roboticist whose research lies at the intersection of autonomous exploration, perception, and manipulation in confined and cluttered environments. His most-cited work, "Viewpoint Push Planning for Mapping of Unknown Confined Spaces" (2023, 8 citations), addresses a critical challenge in robotics: how to map spaces like shelves where objects occlude one another and can only be observed from limited angles. Kalagaturu’s key contribution is a novel integration of viewpoint planning with push actions, enabling a robot to actively rearrange objects to reveal hidden areas while simultaneously building a complete map. This work bridges the gap between passive sensing and active manipulation, offering a practical solution for warehouse inventory, search-and-rescue, and domestic service robots. By combining geometric reasoning with motion planning, his approach improves coverage and mapping accuracy in scenarios where traditional methods fail. Though early in his career, Kalagaturu’s research has already garnered attention for its innovative fusion of pushing and planning, laying groundwork for more autonomous systems that can intelligently interact with their surroundings. His work exemplifies a growing trend toward robots that not only perceive but also physically alter their environment to achieve better understanding.