Ruiyang Ma

KTH Royal Institute of Technology

Papers

1

Total Citations

14

H-Index

1

About

Ruiyang Ma is a researcher at the forefront of human-robot interaction, with a particular focus on the nuanced dynamics of social spaces. Their work centers on how robots can seamlessly integrate into human group behaviors, especially within small, free-standing conversational groups. Ma’s most-cited paper, "A dataset of human and robot approach behaviors into small free-standing conversational groups" (2021, 14 citations), provides a foundational resource for analyzing and simulating these interactions. This contribution is critical for developing artificial agents—whether physical robots or virtual entities—that can naturally navigate and collaborate within human teams. By systematically documenting how both humans and robots approach and join group formations, Ma’s research offers key insights for designing adaptive systems that respect social norms and spatial awareness. This work is essential for advancing human-robot collaboration in shared environments, from public spaces to workplaces, and underscores Ma’s role in bridging the gap between computational modeling and real-world social behavior.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A dataset of human and robot approach behaviors into small free-standing conversational groups
14 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: KTH Royal Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago