ArXiv TLDR

David Gorsich

3 papers · Latest:

Machine Learning

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

PSP-HDC uses graph-structured hyperdimensional computing for data-efficient, explainable process-structure-property prediction, outperforming baselines.

2605.07999

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

MAKA is a physics-grounded multi-agent AI architecture for traceable, risk-aware human-AI decision support in high-precision manufacturing.

2605.04003
Robotics

Task-Aware Scanning Parameter Configuration for Robotic Inspection Using Vision Language Embeddings and Hyperdimensional Computing

This paper introduces ScanHD, a hyperdimensional computing framework that autonomously configures robotic laser profilers using vision-language embeddings.

2605.03909

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