Reasoning Operational Decisions for Robots via Time Series Causal Inference
Yu Cao Boyang Li Qian Li Adam Stokes David Ingram Aristides Kiprakis Yu Cao Boyang Li Qian Li Adam Stokes David Ingram Aristides Kiprakis
Justifying operational decisions for robots is a challenging task as the operator or the robot itself has to understand the underlying physical interaction between the robot and the environment to predict the potential outcome. It is desirable to understand how the decision influences the operational performance in the way of causal relationship for the purpose of explainable decision-making. Here...