Papers
7
Total Citations
63
H-Index
4
About
Shuqin Li’s research lies at the intersection of human-robot interaction and multi-robot systems, with a particular focus on trust, cooperation, and autonomous navigation. Her most cited work, “Trust in service robot: the role of appearance anthropomorphism” (2023, 30 citations), addresses a critical challenge in service robotics—how anthropomorphic design can enhance consumer trust in robots deployed in hotels and restaurants. This study has become a key reference for researchers exploring the psychological and design factors that influence human-robot trust. Earlier in her career, Li made foundational contributions to multi-robot coordination, including self-organization models (2005, 17 citations) and dynamic team cooperation frameworks (2005, 5 citations). Her work on multiple robotic fish target search and cooperative hunting strategies (2013, 4 citations) extended these principles to underwater environments, demonstrating the versatility of her approaches. Li also advanced practical navigation and formation control methods using multi-sensor fusion (2010, 3 citations) and reinforcement learning-based cooperative tracking (2010, 2 citations). Her research has been instrumental in bridging theoretical models of robot teamwork with real-world applications, from service robots to autonomous underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1Trust in service robot: the role of appearance anthropomorphism30 citations · 2023
- 2Study of Self-Organization Model of Multiple Mobile Robot17 citations · 2005
- 3
- 4Multiple Robotic Fish’s Target Search and Cooperative Hunting Strategies4 citations · 2013
- 5A Method of Robot Navigation Based on the Multi-Sensor Fusion3 citations · 2010
- 6Mobile multi-robots formation control and its implementation2 citations · 2010
- 7Design and implementation of multi-robot cooperative tracking2 citations · 2010