collaborators

5 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.LG2026

Graph-Structured Hyperdimensional Computing for Data-Efficient and Explainable Process-Structure-Property Prediction

Jingzhan Ge, Ajeeth Vellore, Ajinkya Palwe +5

Multiphoton photoreduction enables high-fidelity fabrication of complex 3D microstructures, yet reliable process-structure-property (PSP) prediction remains difficult because the a…

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.AI2025

Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning

Danny Hoang, David Gorsich, Matthew P. Castanier +1

Precision process planning in Computer Numerical Control (CNC) machining demands rapid, context-aware decisions on tool selection, feed-speed pairs, and multi-axis routing, placing…