18 citations · 18 across the 8 of their papers we have counts for
8 papers
How Should a Robot Configure Its Laser Scanner for Inspection?
Zhiling Chen, David Gorsich, Matthew P. Castanier +3
Robotic inspection relies on accurate sensing to acquire high-fidelity geometric measurements for defect detection and metrology. While prior work has focused on robot motion and v…
Task-Aware Scanning Parameter Configuration for Robotic Inspection Using Vision Language Embeddings and Hyperdimensional Computing
Zhiling Chen, David Gorsich, Matthew P. Castanier +3
Robotic laser profiling is widely used for dimensional verification and surface inspection, yet measurement fidelity is often dominated by sensor configuration rather than robot mo…
Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
Fardin Jalil Piran, Zhiling Chen, Yang Zhang +3
Decentralized federated learning enables collaborative model training without a central server, but shared model updates can still leak sensitive information through inversion, rec…
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
Kiarash Naghavi Khanghah, Zhiling Chen, Lela Romeo +4
Additive manufacturing enables the fabrication of complex designs while minimizing waste, but faces challenges related to defects and process anomalies. This study presents a novel…
ScanBot: A Benchmark for Precision Robotic Surface Scanning with Industrial Laser Profilers
Zhiling Chen, Yang Zhang, Fardin Jalil Piran +3
We introduce ScanBot, a benchmark for instruction-conditioned, high-precision surface scanning with robot-mounted industrial laser profilers. Unlike existing robot learning dataset…
Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?
Zhiling Chen, Hanning Chen, Mohsen Imani +1
In industrial settings, the accurate detection of anomalies is essential for maintaining product quality and ensuring operational safety. Traditional industrial anomaly detection (…
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
Fardin Jalil Piran, Zhiling Chen, Mohsen Imani +1
Federated Learning (FL) has become a key method for preserving data privacy in Internet of Things (IoT) environments, as it trains Machine Learning (ML) models locally while transm…
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces
Zhiling Chen, Hanning Chen, Mohsen Imani +2
Workplace accidents due to personal protective equipment (PPE) non-compliance raise serious safety concerns and lead to legal liabilities, financial penalties, and reputational dam…