Papers
6
Total Citations
270
H-Index
6
About
Ping-Cheng Ku is a leading researcher in reconfigurable robotics and autonomous path planning, whose work bridges the gap between theoretical optimization and practical robotic applications. His primary research areas include self-reconfigurable robots, complete coverage path planning (CCPP), multi-objective optimization, and energy-efficient robotic navigation. Ku’s major contributions lie in developing novel graph theory and genetic algorithm-based approaches that enable reconfigurable robots—inspired by Tetris-like tetromino shapes—to autonomously navigate and cover complex environments with unprecedented dexterity. His work on the Hinged-Tetro reconfigurable tiling robot, which has garnered 71 citations, demonstrates how multi-objective genetic algorithms can solve autonomous path planning in obstacle-laden rescue and exploration scenarios. Ku has also pioneered energy consumption models for reconfigurable surface tiling robots, addressing the critical challenge of energy-aware CCPP for floor cleaning and agricultural harvesting. With over 270 total citations across his most-cited papers, his impact is further evidenced by his expansion into medical robotics, where he developed a fluoroscopy-guided robotic system for transforaminal lumbar epidural injections—showcasing the versatility of his navigation and planning expertise. Ku’s work continues to shape the future of autonomous, reconfigurable systems.
Research Focus
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Top Papers
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