Tushar Kumar

Papers

Total Citations

H-Index

About

Tushar Kumar is a researcher whose work lies at the intersection of robotics, algorithmic planning, and automated construction. His primary contributions focus on developing scalable, tree-based algorithms that enable teams of identical robots to autonomously assemble large-scale structures from simple blocks—a challenge inspired by Harvard’s TERMES project. In his most cited work, "A Tree-Based Algorithm for Construction Robots" (2014, 11 citations), Kumar introduced a novel approach that uses dynamic programming on trees to generate efficient construction plans, allowing robots to gather materials and build structures far larger than themselves. He extended this framework in a 2016 paper (2 citations) by incorporating local search on trees to refine plan quality, offering a principled method for coordinating multiple robots without centralized control. While his citation counts are modest, Kumar’s work addresses foundational problems in distributed robotics and automated construction, with potential applications in disaster response, space exploration, and autonomous manufacturing. His tree-based algorithmic framework stands as a notable achievement for its elegance and practicality in solving complex spatial planning tasks with minimal computational overhead.