Spoken Human-Robot Interaction using Python, Prolog, Stanford NLP server and Google ASR Objective: Considering a task oriented Spoken Dialog System, where the user helps the agent execute tasks of moving familiar objects in a house-like environment, we want to manage the robot’s self awareness. That would allow the robot to communicate informations about its physical state. Ressources: (compatible with python 2.7 and on Linux) ASR Python speech recognition package https://pythonspot.com/speech-recognition-using-google-speech-api/ Stanford Core NLP https://stanfordnlp.github.io/CoreNLP/ Java Virtual Machine Required to launch Stanford Core NLP Stanford Core NLP (Server) Stanford Core NLP APIs https://github.com/smilli/py-corenlp Prolog APIs https://github.com/yuce/pyswip acknowledgement : Andrea Vanzo provided the list of ressources and guidance about how to use them