Papers

2

Total Citations

36

H-Index

2

About

Kexi Liu is a pioneering researcher in human-robot interaction and collaborative robotics, with a focus on designing intuitive systems for multi-robot coordination and understanding the social dynamics of human-robot teams. Her early work introduced "Roboshop" (2011, 31 citations), a groundbreaking framework that addressed the critical challenge of managing multiple home robots through coordinated task assignment, moving beyond traditional single-robot control tools. This contribution laid foundational principles for efficient multi-agent collaboration in domestic settings. More recently, Liu has explored the organizational impact of robotics, as demonstrated in her 2024 study on how human-robot collaboration influences hotel employees’ proactive behavior (5 citations). This work bridges robotics and organizational psychology, revealing how robotic teammates can reshape workplace motivation and initiative. Liu’s research uniquely combines technical system design with empirical studies of human behavior, offering insights into both the engineering and social dimensions of robotics. Her contributions are particularly relevant as robots become increasingly integrated into homes and service industries, and her work continues to inform the development of more intuitive, collaborative human-robot systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Roboshop
31 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Interface (United States), Northeastern University

Top Papers

  1. 1
    Roboshop
    31 citations · 2011
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago