Shao-Yu Chien

Papers

Total Citations

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About

Shao-Yu Chien is a leading researcher in intelligent robotics, specializing in motion planning, adaptive control, and autonomous manipulation. His work focuses on enabling robots to perform complex, real-world tasks with greater precision and autonomy. Chien’s most influential contribution is a motion planning method using Soft Actor-Critic (SAC) for dual-arm robots, which allows 7-DOF arms to avoid self-collision, joint limits, and singularities—a paper that has garnered 62 citations. He also developed a generic bin pick-and-place system based on the Robot Operating System (ROS), enabling a 6-DOF manipulator to handle multiple tasks in factory and warehouse automation, earning 20 citations. More recently, Chien has advanced robotic painting with a task sensing and adaptive control system for mobile manipulators, addressing precision challenges on large-scale surfaces. With a growing citation impact, Chien’s work bridges reinforcement learning and practical robotics, offering solutions for industrial automation. His achievements highlight a commitment to making robots safer, more efficient, and capable in dynamic environments, marking him as a rising innovator in the field.