Maitrey Gramopadhye

University of North Carolina at Chapel Hill

Papers

Total Citations

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About

Maitrey Gramopadhye is a pioneering researcher at the intersection of robotics, human-computer interaction, and artificial intelligence, with a core focus on making robot programming accessible and context-aware. Their work centers on integrating Large Language Models (LLMs) with environmental perception to bridge the gap between human intent and robotic execution. Gramopadhye’s major contribution is the development of systems that allow non-experts to command robots using natural language, while ensuring the generated action plans are feasible within the robot’s physical surroundings. Their most-cited paper (2023, 25 citations) introduced a method for generating executable action plans that are environmentally aware, addressing a critical failure of standard LLMs. They further advanced human-robot teaming with the Cyber-Physical Control Room (2024, 10 citations), a mixed reality interface that dramatically improves teleoperation by providing both egocentric and exocentric views. Their latest work, MARCER (2025, 5 citations), represents a significant leap in end-user programming, combining multimodal augmented reality with LLMs to let users compose robot tasks through simple language and environmental cues. This trajectory of work is establishing Gramopadhye as a key figure in the future of intuitive, safe, and deployable robotic systems.