Shejun Deng
Papers
1
Total Citations
5
H-Index
1
About
Shejun Deng is a researcher whose work lies at the intersection of robotics, autonomous navigation, and human-robot interaction. Their primary research focus is on developing safe and efficient path planning algorithms for mobile robots operating in dynamic, human-shared environments. Deng’s most notable contribution, the 2025 paper “A mobile robot safe planner for multiple tasks in human-shared environments,” addresses the critical challenge of ensuring robot safety while executing multiple tasks in unpredictable settings. This work has already garnered 5 citations, reflecting its timely relevance to the robotics community. By tackling the complex problem of multi-task planning under safety constraints, Deng is advancing the practical deployment of mobile robots in real-world scenarios such as warehouses, hospitals, and public spaces. Their research is particularly valuable for students and engineers seeking to understand how robots can navigate safely alongside humans without compromising task efficiency. Deng’s work contributes to the broader goal of creating autonomous systems that are both capable and trustworthy, marking them as an emerging voice in the field of safe robotic navigation.
Research Focus
Key Achievements
Top Papers
- 1