Ananya Yammanuru

Papers

Total Citations

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About

Ananya Yammanuru is a rising star in robotics, whose work sits at the intersection of motion planning and human-robot collaboration. Her research is defined by a drive to make robots both faster and more intuitive. Yammanuru’s most significant contributions lie in developing hierarchical, skeleton-guided motion planning algorithms. Her flagship work, "HAS-RRT," introduces a topological guidance strategy that achieves up to a 91% reduction in runtime while building a tree at least 30% smaller than competing methods—a breakthrough for efficiency in complex environments. This work, along with her foundational "Hierarchical Planning With Annotated Skeleton Guidance," has already garnered over 13 citations, establishing her as a key voice in this niche. Demonstrating a remarkable breadth, Yammanuru also tackles the challenge of proactive human-robot collaboration. In her work "LIT," she leverages Large Language Models to create a robot sous-chef capable of tracking human intention, reducing the need for constant prompting in long-horizon tasks. This dual focus on algorithmic efficiency and natural interaction marks Yammanuru as a versatile and impactful researcher, poised to shape the future of autonomous systems.