Jinglin Peng
Papers
1
Total Citations
2
H-Index
1
About
Jinglin Peng is a researcher whose work centers on robotics simulation, industrial automation, and the integration of virtual modeling with physical robotic systems. Their most notable contribution, the paper "Modeling and Simulation of a Tower-of-Hanoi-Playing Robot Station Based on RobotStudio" (2022), demonstrates a practical application of RobotStudio software to design and simulate a robotic station capable of solving the classic Tower of Hanoi puzzle. This work highlights Peng’s expertise in bridging theoretical algorithms with real-world robotic control, offering a valuable case study for educational and industrial automation contexts. While the paper has garnered 2 citations to date, its significance lies in its clear methodology and replicable framework, which can serve as a foundation for further research in robot programming and simulation. Peng’s focus on accessible, simulation-based approaches to complex tasks underscores their commitment to advancing automation education and practical robotics. Their work is particularly relevant for students and researchers exploring the intersection of robotics, simulation, and puzzle-solving algorithms.
Research Focus
Key Achievements
Top Papers
- 1