Qinfeng Wang

Zhejiang Institute of Special Equipment Inspection, Jimei University

Papers

Total Citations

H-Index

About

Qinfeng Wang is a researcher advancing intelligent manufacturing and robotic systems, with key contributions in additive manufacturing path planning, computer vision, and multi-robot coordination. Wang’s most notable work introduces an intelligent support-free additive manufacturing path planning method that integrates a method library with neural networks, enabling efficient, autonomous generation of optimized toolpaths without manual intervention—a breakthrough for complex 3D printing processes. This research, published in 2025, has already garnered 2 citations, reflecting its early impact. Wang also developed a disorderly grasping system using binocular vision (2022, 2 citations), enhancing robotic perception and manipulation in unstructured environments. Additionally, Wang’s work on multi-robot cooperative path planning based on a leader-follower architecture (2024, 1 citation) addresses scalability and coordination challenges in collaborative robotics. These contributions demonstrate Wang’s focus on bridging artificial intelligence and practical automation, with applications spanning manufacturing, logistics, and industrial robotics. By combining neural network-driven optimization with vision-based control, Wang is shaping the future of intelligent, autonomous production systems.