collaborators

6 papers

cs.RO2026

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…

cs.RO2026

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…

cs.MA2026

Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing

Danny Hoang, Ryan Matthiessen, Christopher Miller +5

High-precision CNC machining of free-form aerospace components requires bounded compensations informed by inspection, simulation, and process knowledge. Off-the-shelf large languag…

cs.RO2026

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…

cs.CR2025

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…

cs.CV2025

Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language Models

Yang Zhang, Qianyu Zhou, Farhad Imani +1

Wind turbine blades operate in harsh environments, making timely damage detection essential for preventing failures and optimizing maintenance. Drone-based inspection and deep lear…