Simon Stepputtis

Language-Conditioned Human-Agent Teaming

Robotics: Science and Systems Pioneers Workshop (RSSPW), 2022

    In my work, I am focusing on multimodal techniques for robot learning and motor skill acquisition. Most intuitively, humans communicate desires to a robot using natural language, rooting from their internal mental state that encodes their beliefs and intentions. Modeling this mental state is a crucial part of truly understanding the human partner, as it is not captured by natural language alone. To this end, my research focuses on creating robotic systems that truly understand the human partner by combining Theory of Mind, natural language processing, and vision to complete various manipulation tasks.