Papers
13
Total Citations
261
H-Index
8
About
Danilo Croce is a prominent researcher specializing in Natural Language Processing, Spoken Language Understanding, and Human-Robot Interaction. His work sits at the fascinating intersection of computational linguistics and robotics, focusing on enabling machines to interpret and respond to human speech in real-world environments. Croce's most significant contributions include the development of HuRIC (Human Robot Interaction Corpus), a foundational dataset that has become a benchmark resource in the field, accumulating 44 citations. His research has consistently tackled the challenge of grounding spoken language in physical robotic contexts — recognizing that correct sentence interpretation depends not just on linguistics, but on a robot's surrounding environment and cognitive state. His 2016 discriminative approach to grounded spoken language understanding (43 citations) exemplifies this philosophy. Through structured learning frameworks and semantic modeling, Croce has advanced the robustness of natural language interfaces for service and rehabilitation robots, making human-machine communication more reliable for non-expert users. His 2023 work on robot-aided rehabilitation demonstrates an expanding vision, integrating verbal interaction with physical therapeutic assistance. With a cumulative body of work exceeding 250 citations, Croce's research has meaningfully shaped how robots understand and respond to human language across diverse real-world applications.
Research Focus
Key Achievements
Top Papers
- 1HuRIC: a Human Robot Interaction Corpus44 citations · 2014
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- 3Textual Inference and Meaning Representation in Human Robot Interaction38 citations · 2013
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- 7Using Semantic Models for Robust Natural Language Human Robot Interaction12 citations · 2015
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- 9Robust Spoken Language Understanding for House Service Robots8 citations · 2016
- 10Spoken Language Understanding for Service Robotics in Italian6 citations · 2016