Yizhen Sun
Papers
2
Total Citations
32
H-Index
2
About
Yizhen Sun is a robotics researcher whose work focuses on advancing path and trajectory planning for autonomous and service robots. Sun’s primary research areas include motion planning, collision avoidance, and safe navigation in dynamic environments. A key contribution is the development of an improved RRT-Connect algorithm for home service robot arms, which enhances the efficiency and reliability of bidirectional path planning in ROS-based systems—a widely cited work with 25 citations. Sun also introduced a global trajectory planning framework that minimizes a risk index, addressing a critical gap in mobile robot navigation: paths that, while collision-free, often run dangerously close to obstacles and lack smoothness. This 2023 work, with 7 citations, proposes a method that prioritizes both safety and path quality. By tackling real-world constraints in domestic and commercial settings, Sun’s research has practical implications for making autonomous systems more dependable. Their contributions are particularly relevant for students and engineers working on service robotics, offering clear, implementable solutions to common path planning challenges.
Research Focus
Key Achievements
Top Papers
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