Chenming Wu
Papers
6
Total Citations
549
H-Index
5
About
Chenming Wu is a pioneering researcher at the intersection of advanced manufacturing and robotics, whose work has fundamentally redefined the possibilities of 3D printing. His most significant contributions lie in developing support-free fabrication methods, where his seminal 2018 paper on "Support-free volume printing by multi-axis motion" (248 citations) introduced a paradigm-shifting approach that uses robotic multi-axis motion to accumulate material along curved paths, virtually eliminating the need for support structures. This work, alongside his development of the RoboFDM system (150 citations), has addressed one of the most persistent limitations in additive manufacturing. Wu's impact extends beyond traditional printing into bioprinting, where his multi-axis robot-based system (60 citations) enables the preservation of natural cell function for cardiac tissue fabrication. He has also made notable advances in agricultural robotics, developing deep-learning-based multi-robot systems for high-throughput plant phenotyping (76 citations), and in autonomous navigation with his HERO-SLAM framework. His work consistently demonstrates a rare ability to integrate robotics, machine learning, and materials science to solve real-world challenges, making him a leading figure in the next generation of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Support-free volume printing by multi-axis motion248 citations · 2018
- 2RoboFDM: A robotic system for support-free fabrication using FDM150 citations · 2017
- 3Plant Phenotyping by Deep-Learning-Based Planner for Multi-Robots76 citations · 2019
- 4
- 5HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM12 citations · 2024
- 6A Multi-robot System for High-Throughput Plant Phenotyping3 citations · 2019