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About

Ioannis Konstas is a leading researcher at the intersection of natural language processing, robotics, and multimodal interaction. His work focuses on enabling more intuitive human-robot communication by grounding language in physical and spatial contexts. A key contribution is the development of richly annotated multimodal corpora, such as the ROSMI (Robot Open Street Map Instructions) corpus, which pairs natural language instructions with map-based visual data to advance visual-dialogue tasks. He also co-created the Corpus of Multimodal Interaction for Collaborative Planning, a foundational resource for studying how humans and robots coordinate through speech and gesture. More recently, Konstas has investigated how instruction variety and task difficulty affect robotic manipulation, shedding light on the robustness of language-guided systems. His work on scientific information extraction for nature-inspired engineering further demonstrates his versatility, applying NLP to accelerate bio-inspired design. Though his most-cited papers currently number in the low hundreds, their influence is growing rapidly within the embodied AI and human-robot interaction communities, establishing Konstas as a key architect of the datasets and frameworks that will power the next generation of collaborative robots.