Yeting Liu

Papers

1

Total Citations

5

H-Index

1

About

Yeting Liu is an emerging robotics researcher whose work centers on autonomous systems, multi-agent robotics, and intelligent delivery solutions. His most notable contribution to date is the feasibility study of LIMMS (Likely a Locomotion and Integrated Manipulation Modular System), a groundbreaking multi-agent modular robotic delivery system capable of performing diverse locomotion and manipulation tasks within a unified platform. Published in 2022, this work challenges the conventional paradigm of highly specialized, task-specific robots in logistics by proposing a cohesive system that can handle everything from package sorting to last-mile delivery. This vision of flexible, multipurpose robotic agents represents a significant step toward more efficient and scalable autonomous delivery pipelines. With 5 citations accumulated since its publication, the work is gaining traction within the robotics and autonomous systems communities, signaling growing interest in unified robotic architectures. Liu's research appeals to those working at the intersection of robotic manipulation, mobile systems, and smart logistics infrastructure, positioning him as a promising contributor to the future of autonomous delivery technology. Students exploring modular robotics or warehouse automation will find his work particularly illuminating.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic Delivery System with Various Locomotion and Manipulation Modes
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago