Simpler rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks. - Francesco Semeraro; Jon Carberry; Angelo Cangelosi (AAMAS, 2023)

Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications. - Francesco Semeraro; Jon Carberry; Angelo Cangelosi (IJCNN, 2023)

Good Things Come in Threes: The Impact of Robot Responsiveness on Workload and Trust in Multi-User Human-Robot Collaboration. - Francesco Semeraro; Jon Carberry; James Leadbetter; Angelo Cangelosi (IROS, 2024)