Liang Jin
Papers
1
Total Citations
3
H-Index
1
About
Liang Jin is a researcher focused on advancing automation and robotics, with particular expertise in multi-robot systems, path planning, and human-robot collaboration within industrial settings. His most cited work, "Path Planning of Multiple Mobile Robots Based on Collision Detection in a Disassembly Cell" (2022), addresses a critical challenge in modern manufacturing: enabling multiple mobile robots to operate safely and efficiently alongside humans in shared workspaces. Jin proposed a novel mathematical model and algorithm that integrates collision detection with disassembly task assignment, ensuring collision-free coordination in complex, dynamic environments. This contribution is foundational for developing intelligent, human-robot collaborative disassembly cells, which are essential for sustainable manufacturing and recycling industries. With 3 citations, his work is gaining traction among researchers in robotics and industrial engineering. Jin’s research not only tackles practical safety and efficiency issues but also lays the groundwork for scalable multi-robot systems in Industry 4.0. His achievements reflect a commitment to creating smarter, safer, and more productive automated environments, making him a notable emerging voice in the field of collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1