most citedProcess Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication

11 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Socially Consistent Multi-Robot Navigation Using Decoupled Planning and Trajectory Coordination

Matthew M. Sato, Kincho H. Law

The successful integration of mobile robots in human-centric environments requires navigation that is not only safe and efficient, but also consistent and compliant with social con…

cs.CE202611 cited

Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication

Berkcan Kapusuzoglu, Matthew Sato, Sankaran Mahadevan +1

This paper develops a computational framework to optimize the process parameters such that the bond quality between extruded polymer filaments is maximized in fused filament fabric…

cs.CE20267 cited

Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato +2

This work presents a data-driven methodology for multi-objective optimization under uncertainty of process parameters in the fused filament fabrication (FFF) process. The proposed…

quant-ph2026

A Hybrid Quantum-Classical Approach for Melt Pool Prediction in Laser Powder Bed Fusion

Matthew M. Sato, Kincho H. Law

Laser powder bed fusion (LPBF) is a promising additive manufacturing technique that suffers from quality assurance concerns. Predicting melt pools from process parameters is crucia…

cs.RO2026

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning

Kanghoon Lee, Matthew M. Sato, Jinnyeong Yang +7

Monitoring human activity in indoor environments is important for applications such as facility management, safety assessment, and space utilization analysis. While mobile robot te…