Siya Kunde

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About

Siya Kunde’s research lies at the intersection of human-robot interaction, shared control, and autonomous systems, with a focus on making robotic technology more intuitive and responsive to real-world users. Her work centers on understanding and modeling user qualities to improve collaborative performance, particularly in teleoperation and supervisory control scenarios. In her most-cited paper, “Inference of User Qualities in Shared Control” (2018, 12 citations), Kunde developed methods for robotic systems to adapt to individual user differences, enhancing joint task efficiency—a foundational contribution to adaptive autonomy. She extended this to small unmanned aerial vehicles (sUAVs) in “Intuitive Autonomy for Real Users” (2020, 3 citations), exploring seamless control transitions between human and machine. Notably, Kunde also ventured into methodological innovation with “Let’s Run an Online Proxemics Study!” (2022, 3 citations), comparing remote and in-person social robotics research—a timely contribution during the shift to digital experimentation. Her work is characterized by a user-centric approach, bridging theoretical frameworks with practical deployment challenges, and has laid groundwork for more inclusive, adaptive robotic systems. Kunde’s research continues to influence how autonomous technologies accommodate human variability.