Ines Pastor-Martinez
Papers
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Total Citations
2
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About
Dr. Ines Pastor-Martinez is pioneering the next generation of human-robot interaction by making robot control both intuitive and interpretable. Her research sits at the critical intersection of robotics, artificial intelligence, and human-centered design, with a primary focus on developing transparent control architectures that bridge the gap between complex autonomous systems and their human operators. Her most cited work, "Interpretable Robot Control via Structured Behavior Trees and Large Language Models" (2025), introduces a groundbreaking framework that combines the logical clarity of behavior trees with the natural language understanding of large language models. This approach allows users to command and modify robot behavior through conversational interaction, eliminating the need for specialized programming knowledge. By structuring robot decision-making in a way that is both human-readable and computationally robust, Dr. Pastor-Martinez is addressing one of the most persistent challenges in robotics: creating systems that are powerful enough for complex tasks yet simple enough for non-expert users to trust and control. Her contributions are laying the foundation for more accessible, safe, and collaborative robotic systems in homes, workplaces, and public spaces.
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Top Papers
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