2 papers
cs.RO2026
IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning
Fan Yang, Soumya Teotia, Shaunak A. Mehta +8
Although robot-to-robot (R2R) communication improves indoor scene understanding beyond what a single robot can achieve, R2R alone cannot overcome partial observability without subs…
cs.LG2025
ATLO-ML: Adaptive Time-Length Optimizer for Machine Learning -- Insights from Air Quality Forecasting
I-Hsi Kao, Kanji Uchino
Accurate time-series predictions in machine learning are heavily influenced by the selection of appropriate input time length and sampling rate. This paper introduces ATLO-ML, an a…