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Matthew Luebbers

2 accepted papers

2026

A Natural Language Interface for Multi-Constraint Spatiotemporal Planning Via LLM-Parameterized Mixed-Integer Scheduling and A*

ICRA 2026poster

Spatiotemporal planning is critically important in fields like robotics, logistics, and naval operations, especially for problem specifications involving multiple constraints. Traditional approaches place the burden on end users to manually specify cost functions, constraints, or model parameters, a…

Cited by 0Scholar
2023

Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming

RSS 2023poster

Justification is an important facet of policy explanation, a process for describing the behavior of an autonomous system. In human-robot collaboration, an autonomous agent can attempt to justify distinctly important decisions by offering explanations as to why those decisions are right or reasonable…

Cited by 18SourcePDFScholar