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

11 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

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…

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…

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…