Katelyn Shakir

Papers

Total Citations

H-Index

About

Dr. Katelyn Shakir is a leading researcher in human-robot interaction, with a focused expertise in grounding natural language instructions for collaborative robotics. Her work addresses a critical challenge: enabling robots to understand human commands that refer not only to the present state of objects, but also to their past and future states. In her highly cited 2024 paper, "Grounding Language Instructions that Refer to the Past, Present, and/or Future State of Objects for Human-Robot Interaction," Dr. Shakir developed novel frameworks that allow robots to interpret temporal and spatial relationships as they evolve during a task. This foundational contribution is essential for creating robots that can follow complex, context-dependent instructions in dynamic environments, moving beyond simple, static commands. By bridging the gap between human linguistic flexibility and robotic perception, her work is paving the way for more intuitive and effective human-robot teams. With her research already garnering attention, Dr. Shakir is establishing herself as a key voice in the future of embodied AI and collaborative robotics.