Papers
2
Total Citations
15
H-Index
2
About
Jiahui Shi is a robotics and automation researcher whose work bridges intelligent navigation and practical machine design. Her primary research areas include autonomous mobile robot navigation, reward shaping in reinforcement learning, and computer vision for industrial and sporting applications. Her most significant contribution is the development of heuristic dense reward shaping for learning-based, map-free navigation of industrial automatic mobile robots, a 2024 paper that has already garnered 10 citations for its innovative approach to enabling robots to navigate complex environments without pre-built maps. Earlier, she conducted foundational work on an automatic tennis ball collecting machine (2017, 5 citations), where she integrated roller-based collection mechanisms with real-time computer vision detection and hardware acceleration—a project that demonstrates her ability to apply robotics to real-world problems. Shi’s work is notable for its practical impact, particularly in industrial automation, and her research continues to influence the development of more efficient, learning-driven robotic systems. Her contributions exemplify how intelligent reward design can enhance autonomous decision-making in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2