Papers
27
Total Citations
540
H-Index
13
About
Emanuele Bastianelli is a researcher whose work sits at the intersection of natural language processing, human-robot interaction, and cognitive robotics. His research has significantly advanced how robots understand and respond to human spoken and written language, with a particular focus on grounded language understanding — enabling robots to interpret commands within the context of their physical environment. Bastianelli's most influential contributions include the development of HuRIC (Human Robot Interaction Corpus), a foundational resource for training and evaluating language understanding systems in robotics, and pioneering discriminative and structured learning approaches to spoken language understanding that account for a robot's surrounding context. His work on teaching robots parametrized executable plans through spoken interaction (26 citations) further demonstrates his commitment to making robots genuinely adaptable to real-world domestic use. Beyond language, his survey on Robot–City Interaction (58 citations) helped define an emerging research field exploring how robots navigate and operate within complex urban environments. His contributions to benchmarking methodologies (71 citations) have also strengthened experimental rigor across cognitive robotics research. With over 400 cumulative citations, Bastianelli's body of work continues to shape how intelligent robots communicate with and learn from non-expert human users.
Research Focus
Key Achievements
Top Papers
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- 3HuRIC: a Human Robot Interaction Corpus44 citations · 2014
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- 5Living with robots: Interactive environmental knowledge acquisition41 citations · 2016
- 6Textual Inference and Meaning Representation in Human Robot Interaction38 citations · 2013
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- 9Teaching Robots Parametrized Executable Plans Through Spoken Interaction26 citations · 2015
- 10