Jia‐Xi Chang

National Taipei University of Technology

Papers

Total Citations

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About

Jia-Xi Chang is a researcher in robotics, with a primary focus on collision avoidance and path planning for multi-degree-of-freedom (DOF) manipulators. Their most-cited work, "Collision Avoidance Path Planning for the 6-DOF Robotic Manipulator" (2016), proposes a virtualized platform-based solution that enables digital simulation to verify whether a planned path will collide with other modules before execution. This approach significantly enhances safety and efficiency in automated environments, allowing robotic arms to navigate complex workspaces without physical risk. While the paper has garnered 5 citations, its conceptual contribution—integrating simulation with real-time path verification—represents a practical step toward safer industrial automation. Chang’s research addresses a critical challenge in robotics: ensuring that manipulators can operate autonomously in shared or constrained spaces. By prioritizing collision detection during the planning phase rather than relying solely on reactive measures, their work supports the development of more reliable and intelligent robotic systems. This contribution is particularly relevant for applications in manufacturing, assembly, and logistics, where precision and safety are paramount.