About

Riccardo Caccavale’s research lies at the intersection of cognitive robotics, human-robot interaction, and autonomous logistics, where he develops systems that enable robots to flexibly execute structured tasks while adapting to human behavior and unexpected events. His most influential work, “Kinesthetic Teaching and Attentional Supervision of Structured Tasks in Human–Robot Interaction” (87 citations), introduced a framework integrating cognitive control and executive attention to allow robots to learn from physical guidance and maintain situational awareness during collaboration. Caccavale has also made significant contributions to supermarket logistics, authoring a series of papers on robotic depalletizing—including “RGB-D Recognition and Localization of Cases for Robotic Depalletizing in Supermarkets” (29 citations)—that demonstrate how perception and reconfigurable grippers can automate small-scale warehouse operations. His work on attentional regulations extends to multimodal interfaces for drone search-and-rescue missions (18 citations) and situated human-robot dialogue (17 citations), showcasing a versatile approach to real-world robotic autonomy. With over 270 total citations and a focus on blending human guidance with structured task execution, Caccavale’s research advances the practical deployment of socially aware, adaptable robots in dynamic environments.

Research Focus

Key Achievements

13
H-Index
20
Papers
380
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction
87 citations · 2018
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Ingegneria dei Trasporti (Italy), University of Naples Federico II, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago