1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.ins-det2026
3D Magnetic Field Reconstruction and Mapping with Physics-Informed Neural Networks
Haohan Yu, Zhanxu Hao, Bingzhi Li +3
Accurate reconstruction of magnetic fields in inaccessible regions is vital for many high-precision experiments in physics. Traditional methods, such as spherical harmonic expansio…
cs.LG2026
Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines
Caicheng Wang, Zili Wang, Shuyou Zhang +4
Design for manufacturing plays a critical role in advanced aeroengine development, where complex components necessitate careful consideration of manufacturability. However, current…
cs.RO2022★ 1 cited
Adaptive actuation of magnetic soft robots using deep reinforcement learning
Jianpeng Yao, Quanliang Cao, Yuwei Ju +4
Magnetic soft robots have attracted growing interest due to their unique advantages in terms of untethered actuation and excellent controllability. However, finding the required ma…