Afonso Castro
Papers
5
Total Citations
145
H-Index
5
About
Afonso Castro is a leading researcher in human-robot collaboration (HRC), with a focus on enabling intuitive, safe, and efficient co-working between humans and industrial robots. His work addresses critical challenges in manufacturing, particularly in object handover, learning-based interaction, and multi-sensor calibration. Castro’s most cited paper (2021, 97 citations) provides a comprehensive survey of HRC trends, establishing a foundational framework for the field. He has also pioneered deep neural network approaches to classify physical human-robot interactions during handovers (2023), and developed a ROS-based framework for extrinsic calibration of intelligent vehicles using multi-modal sensors (2020, 23 citations). His recent work on a collaborative manufacturing cell with learning-based interaction abilities (2024) demonstrates real-world implementation of these concepts, integrating 3D volumetric safety monitoring and visual recognition. With over 145 total citations, Castro’s contributions are shaping the next generation of flexible, human-aware automation. His research is essential reading for anyone interested in the practical deployment of collaborative robots in industry.
Research Focus
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