Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference

@article{Leon2022IntuitiveAE,
  title={Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference},
  author={Javier Felip Leon and David Israel Gonzalez-Aguirre and Lama Nachman},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.08657}
}
—The combination of collaborative robots and end- to-end AI, promises flexible automation of human tasks in factories and warehouses. However, such promise seems a few breakthroughs away. In the meantime, humans and cobots will collaborate helping each other. For these collaborations to be effective and safe, robots need to model, predict and exploit human’s intents for responsive decision making processes. Approximate Bayesian Computation (ABC) is an analysis-by-synthesis approach to perform… 

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