Unified composition of human behavior models for HRI

Develop unified composition methods for models of human behavior, motion, belief, desire, and intention that robotics developers can integrate into robotic systems to enable reliable prediction and interaction in human-robot environments.

Background

Human-robot interaction is critical for robots operating in daily-life tasks and mixed human-robot environments. While various models of human motion, beliefs, desires, and intentions exist, robotics development requires coherent integration and composition of these models to support trustworthy and predictable interactions.

The paper explicitly identifies the absence of unified composition mechanisms for these models as an unsolved problem, impeding developers' ability to build systems that can adequately model and predict human actions and reactions.