Ioannis Pontikis
Papers
2
Total Citations
7
H-Index
2
About
Ioannis Pontikis is a leading researcher at the intersection of human-robot collaboration (HRC) and artificial intelligence, with a focused expertise in trust assessment within industrial settings. His work addresses a critical gap in HRC: the need for real-time, data-driven trust estimation to enable robots to adapt their behavior dynamically to human operators. Pontikis’s major contributions include the creation of a benchmark movement data set for trust assessment, a foundational resource that provides motion tracking data from industrial HRC tasks. This dataset, published in 2024 and already garnering 5 citations, is pivotal for advancing reproducible research in the field. Building on this, he developed a deep learning framework for automatic trust estimation from movement data, demonstrating that trust levels can be inferred during interaction rather than relying solely on post-task questionnaires. This work, also from 2024 with 2 citations, offers a path toward more responsive and intuitive robotic collaborators. Pontikis’s research is notable for its practical, industrial focus, bridging the gap between theoretical trust models and real-world applications. His achievements position him as a key contributor to the future of adaptive, human-aware automation.
Research Focus
Key Achievements
Top Papers
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- 2