Papers

2

Total Citations

30

H-Index

2

About

Yi-ming Liu is a rising researcher in physical human-robot interaction (pHRI) and multi-agent systems, whose work bridges haptic communication and autonomous coordination. In their highly cited 2023 study, "Follow the Force," Liu demonstrated that haptic feedback—specifically force-based communication—significantly enhances coordination when humans act as followers in physical human-robot interaction, a finding critical for integrating collaborative robots into daily life and industry. This work has already garnered 16 citations, reflecting its impact on designing more intuitive and responsive robotic partners. Earlier, Liu tackled the complex challenge of multi-agent pathfinding in warehouse systems, proposing an improved Cooperative A* algorithm for Kiva-style environments. This 2019 paper, with 14 citations, optimized path planning for multiple robots navigating shared spaces, directly advancing efficiency in automated logistics. Together, Liu’s contributions illuminate how robots can better understand and respond to human intent through touch, while also solving foundational problems in multi-robot coordination—work that is shaping the future of collaborative automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Follow the Force: Haptic Communication Enhances Coordination in Physical Human-Robot Interaction When Humans are Followers
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Technical University of Munich, Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago