Yeow Li

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About

Yeow Li’s research centers on mobile robotics, with a particular focus on path planning, obstacle avoidance, and safe navigation in constrained environments. In his most-cited work, “Moving obstacle avoidance for mobile robot moving on designated path” (2013), Li addresses a critical challenge: enabling robots to follow a predefined global path while dynamically avoiding moving obstacles in real-world settings such as doorways and staircases. He proposes a method that manually defines accessible zones and adjusts the robot’s velocity to maintain trajectory adherence without collision. Although this paper has garnered 4 citations, it represents a foundational step in practical robot navigation—a field where Li’s contributions emphasize the balance between autonomy and safety. His work is particularly relevant for service robots operating in human-centric spaces, where predictable path following and reactive obstacle avoidance are essential. Li’s research underscores the importance of integrating global path planning with local reactive control, a theme that continues to influence developments in mobile robotics.