Sofie Ahlberg

Papers

Total Citations

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About

Sofie Ahlberg is a leading researcher in human–robot interaction, with a focus on co-adaptive systems and human-in-the-loop control. Her work addresses the critical challenge of enabling robots and humans to dynamically adjust to each other’s behaviors in shared environments. Her most cited paper, “Co-adaptive Human–Robot Cooperation: Summary and Challenges” (2021, 16 citations), synthesizes key developments from the Swedish COIN project, funded by the Swedish Foundation for Strategic Research, and proposes a unified framework for co-adaptive methodologies. This work lays the foundation for more intuitive and resilient human–robot coexistence. Ahlberg also contributed “A ROS Package for Human-In-the-Loop Planning and Control under Linear Temporal Logic Tasks” (2021, 10 citations), which introduces a practical software tool that uses temporal logic to generate correct-by-design robot plans with human oversight. This package bridges formal methods and real-world robotics, making advanced planning accessible to practitioners. While her citation counts reflect a growing field, Ahlberg’s impact lies in her integration of theoretical frameworks with deployable software, advancing the vision of robots that learn and adapt alongside people. Her work is essential reading for researchers exploring co-adaptive autonomy and safe human–robot collaboration.