Anush Gandra

Papers

Total Citations

H-Index

About

Anush Gandra is a robotics researcher whose work centers on safe and socially-aware robot navigation in crowded human environments. His most-cited paper, "Winding Through: Crowd Navigation via Topological Invariance" (2022, 30 citations), tackles a fundamental challenge in human-robot interaction: ensuring both safety and comfort when a robot moves through a crowd. Rather than relying solely on end-to-end control or deep learning for motion prediction, Gandra introduces a novel topological approach that preserves the invariant structure of human motion, allowing robots to anticipate and navigate around people without causing discomfort or disruption. This work bridges geometric reasoning and practical robotics, offering a principled alternative to data-heavy methods. Gandra’s contributions are especially relevant for applications in service robots, autonomous wheelchairs, and delivery drones operating in busy public spaces. By focusing on the underlying topology of crowd dynamics, he provides a robust framework that generalizes across different environments and crowd densities. His research is gaining traction among roboticists and human-robot interaction researchers, and it represents a thoughtful step toward machines that move with, not against, the flow of people.