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About

Goda Bieksaite is a researcher in human-robot interaction and autonomous systems, with a focus on variable autonomy frameworks for remotely operated mobile robots. Her work addresses the critical challenge of balancing human control and machine autonomy in real-time robotic operations. In her most-cited paper (33 citations), she presents a principled experimental analysis of a Human-Initiative (HI) variable autonomy system, where a human operator can dynamically switch the Level of Autonomy (LOA) between teleoperation and autonomous capabilities. This research provides foundational insights into how operators interact with robots that possess both manual and autonomous modes, offering a structured approach to improving efficiency and safety in remote navigation tasks. Her follow-up study (8 citations) deepens this analysis, exploring the nuanced interactions between human operators and robots with autonomous capabilities. Bieksaite’s contributions are particularly valuable for applications in hazardous environments, such as search-and-rescue or space exploration, where flexible control is essential. Her work has been cited in robotics and human-factors literature, underscoring its impact on designing intuitive, adaptive control systems that enhance human-robot collaboration.