From the 1 of 5 linked papers with an AI index.
5 papers
Whole-Body Semantic-to-Actuation Grounding of Elephant-Inspired Soft-Trunk Motion via Lightweight Flow Matching
Tingcong Liu, Tongshun Chen, Siyi Ma +6
The paper presents a framework that translates open‑vocabulary commands from a large language model into feasible motions for an elephant‑inspired soft‑trunk robot using lightweigh…
Do Reviews Matter for Recommendations in the Era of Large Language Models?
Chee Heng Tan, Huiying Zheng, Jing Wang +5
With the advent of large language models (LLMs), the landscape of recommender systems is undergoing a significant transformation. Traditionally, user reviews have served as a criti…
Physics Informed Generative Models for Magnetic Field Images
Aye Phyu Phyu Aung, Lucas Lum, Zhansen Shi +5
In semiconductor manufacturing, defect detection and localization are critical to ensuring product quality and yield. While X-ray imaging is a reliable non-destructive testing meth…
A Spatial-Physics Informed Model for 3D Spiral Sample Scanned by SQUID Microscopy
J. Senthilnath, Jayasanker Jayabalan, Zhuoyi Lin +5
The development of advanced packaging is essential in the semiconductor manufacturing industry. However, non-destructive testing (NDT) of advanced packaging becomes increasingly ch…
3D Magnetic Inverse Routine for Single-Segment Magnetic Field Images
J. Senthilnath, Chen Hao, F. C. Wellstood
In semiconductor packaging, accurately recovering 3D information is crucial for non-destructive testing (NDT) to localize circuit defects. This paper presents a novel approach call…