Suraj Borate
Papers
2
Total Citations
6
H-Index
2
About
Suraj Borate is a robotics researcher whose work focuses on advancing multi-robot coordination through sampling-based path planning. His primary contributions lie in developing flexible formation control algorithms that allow teams of homogeneous robots to navigate complex, obstacle-ridden environments while maintaining adaptable geometric configurations. Borate’s most notable work, the FF-RRT algorithm (2021, 4 citations), introduced a centralized planning approach that enables multi-robot formations to dynamically adjust their shape in response to environmental constraints, moving beyond rigid formation models. He later extended this into the FF-RRT* algorithm (2024, 2 citations), which improves global path optimality by building upon the RRT* framework, offering a more efficient and flexible representation of formation geometry. Though early in his career, Borate’s contributions address a critical challenge in swarm robotics: balancing formation integrity with navigational flexibility. His work is particularly relevant for applications in automated warehouses, search-and-rescue missions, and collaborative exploration, where teams of robots must coordinate without sacrificing adaptability. By integrating sampling-based planners with formation control, Borate provides a scalable foundation for future multi-robot systems operating in unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 2