Papers
7
Total Citations
42
H-Index
3
About
Weimin Wu is a robotics and automation researcher whose work centers on multi-robot systems, motion coordination, and intelligent scheduling algorithms. His most significant contributions revolve around the innovative concept of "glued nodes," a framework he developed to address the persistent challenges of collision and deadlock avoidance in multi-robot environments. His 2022 letter introducing this method has already garnered 15 citations, while a 2023 extension tackling heterogeneous and variable-sized robots added a further 9, demonstrating rapid uptake within the field. Wu's earlier work on multi-robot path planning using Petri Nets (2020) laid important theoretical groundwork, reflecting his strength in applying formal modeling approaches to complex coordination problems. Beyond collision avoidance, Wu has made meaningful contributions to AGV dispatching, including a hierarchical charging algorithm designed to maximize transportation efficiency in intelligent warehouse environments, and a look-ahead scheduling algorithm for no-buffer assembly lines — both addressing real-world industrial automation challenges. His research on coupled task allocation across multi-type robot systems further underscores his broad expertise. Wu's body of work positions him as an emerging and productive voice in industrial robotics, with growing influence across manufacturing and warehousing automation.
Research Focus
Key Achievements
Top Papers
- 1Collision and Deadlock Avoidance in Multi-Robot Systems Based on Glued Nodes15 citations · 2022
- 2
- 3Multi-robot Path Planning Using Petri Nets7 citations · 2020
- 4
- 5
- 6
- 7Research on Coupled Task Allocation and Scheduling of Multi-type Robots2 citations · 2021