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About

Chih-Cheng Liu is a leading roboticist whose work bridges vision, control, and hardware acceleration for intelligent manipulation and humanoid locomotion. His research centers on visual servo control, bipedal walking, and FPGA-based real-time systems. Liu’s most impactful contribution is a hybrid switched reactive-based visual servo control for 5-DOF robot manipulators, which eliminates the need for inverse interaction matrix computation—a breakthrough cited 63 times for enabling efficient pick-and-place tasks. He has also pioneered FPGA implementations of inverse kinematics using CORDIC algorithms, achieving 22 citations for accelerating biped robot gait generation. More recently, Liu advanced manipulation planning through semantic segmentation keypoint detection (21 citations), allowing robots to re-orient randomly placed objects with precision. His work on ROS-based humanoid pose control and Q-learning for straightforward gait patterns demonstrates a commitment to integrating software and hardware for autonomous systems. Notably, Liu’s real-time balance control methods, implemented on FPGA chips, enable humanoid robots to recover from external pushes—a critical achievement for dynamic environments. With a portfolio spanning over 130 citations, Liu’s contributions are shaping the future of responsive, vision-guided robotics.