ANSR-DT combines neural detection, symbolic rules, and reinforcement learning into one digital twin framework, reporting high accuracy on synthetic data and claiming transfer to the SKAB benchmark.
Methodology for enabling dynamic digital twins and virtual model evolution in industrial robotics-a predictive maintenance application,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
ANSR-DT: A Neuro-Symbolic Framework for Adaptive and Explainable Digital Twins
ANSR-DT combines neural detection, symbolic rules, and reinforcement learning into one digital twin framework, reporting high accuracy on synthetic data and claiming transfer to the SKAB benchmark.