Shujuan Yin
Papers
1
Total Citations
11
H-Index
1
About
Shujuan Yin is a researcher at the forefront of robotics and embedded systems, with a primary focus on energy-efficient hardware acceleration for autonomous navigation. Her most notable contribution is the development of an FPGA-based DS-SLAM accelerator, which enables mobile robots to perform Simultaneous Localization and Mapping (SLAM) in dynamic environments while dramatically reducing power consumption. This work, cited 11 times, addresses a critical bottleneck in real-world robotics: the computational intensity of fusing semantic information with traditional SLAM algorithms. By offloading processing to reconfigurable hardware, Yin’s design allows robots to not only localize and map but also understand dynamic objects in their surroundings—a key step toward truly autonomous systems. Her research bridges the gap between algorithmic innovation and practical deployment, making robots more efficient and responsive. Yin’s contributions are particularly impactful for mobile robotics, where battery life and real-time performance are paramount. Her work continues to inspire advances in hardware-software co-design for intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1