Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu,Shivin Dass,Roberto Martín-Martín,Yuke Zhu,Huihan Liu,Shivin Dass,Roberto Martín-Martín,Yuke Zhu
Robot learning methods have recently made great strides, but generalization and robustness challenges still hinder their widespread deployment. Failing to detect and address potential failures renders state-of-the-art learning systems not combat-ready for high-stakes tasks. Recent advances in interactive imitation learning have presented a promising framework for human-robot teaming, enabling the ...
