Yang Qiu
Papers
1
Total Citations
3
H-Index
1
About
Yang Qiu is a researcher in robotics and autonomous systems, with a primary focus on motion planning, obstacle avoidance, and simulation-based control. Their most cited work, "Simulation and Implementation of Robot Obstacle Avoidance Algorithm on ROS" (2022), addresses a critical challenge in multi-robot environments: dynamic and adversarial obstacles that disrupt navigation and task execution, such as ball grasping and defense in robotic soccer. By developing and validating an obstacle avoidance algorithm within the Robot Operating System (ROS) framework, Qiu’s research enhances real-time decision-making under uncertainty, improving robot trajectory stability and collision prevention. Although early in their citation impact—with the paper garnering 3 citations—this work lays foundational groundwork for robust, simulation-to-deployment pipelines in competitive robotics. Qiu’s contributions are particularly relevant for researchers advancing autonomous navigation in unpredictable settings, and their integration of simulation with physical implementation demonstrates a practical, systems-oriented approach to solving real-world robotic challenges.
Research Focus
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Top Papers
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