Papers
6
Total Citations
548
H-Index
6
About
Chengkai Dai is a pioneering researcher in advanced manufacturing and robotics, best known for revolutionizing 3D printing through support-free fabrication. His groundbreaking work on multi-axis robotic printing systems, including the highly cited "Support-free volume printing by multi-axis motion" (248 citations) and "RoboFDM" (150 citations), eliminates the need for support structures in additive manufacturing by enabling material accumulation along curved tool-paths using 6-DOF robotic arms. This innovation dramatically expands design freedom and reduces material waste. Dai has also made significant contributions to motion planning, developing jerk-optimized trajectory algorithms for redundant robots (72 citations) that enhance precision in complex manufacturing tasks. His interdisciplinary impact extends to biomedical engineering, where he designed a multi-axis robot-based bioprinting system for cardiac tissue fabrication (60 citations), addressing grand challenges in regenerative medicine. Additionally, his work on deep learning for high-fidelity RGB-D image generation and micro-robotic swarm steering demonstrates versatility across robotics and computer vision. With over 500 total citations, Dai's research is shaping the future of intelligent, support-free, and bio-inspired 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
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- 6Steering micro-robotic swarm by dynamic actuating fields9 citations · 2016