Systems and methods for curiousity development in agents

A method for incorporating latent states into robotic planning, the method comprising:

• identifying an agent team including at least one robotic agent and at least one human agent;
• receiving sensor data associated with relative physical parameters between the at least one robotic agent and the at least one human agent;
• modeling the latent states of the at least one human agent as a behavior model, wherein the latent states describe cognition of the at least one human agent;
• calculating a first belief state based on the relative physical parameters and the behavior model;
• predicting future probabilities of future observations at a second time based on the first belief state;
• and
• updating a motion plan based on the future probabilities.

A non-transitory computer readable storage medium storing instructions that when executed by a computer having a processor to perform a method for incorporating latent states into robotic planning, the method comprising:

• identifying an agent team including at least one robotic agent and at least one human agent;
• receiving sensor data associated with relative physical parameters between the at least one robotic agent and the at least one human agent;
• modeling the latent states of the at least one human agent as a behavior model, wherein the latent states describe cognition of the at least one human agent;
• calculating a first belief state based on the relative physical parameters and the behavior model;
• predicting future probabilities of future observations at a second time based on the first belief state;
• and
• updating a motion plan based on the future probabilities.