FACT: A Full-body Ad-hoc Collaboration Testbed for Modeling Complex Teamwork

TL;DR

FACT is a comprehensive, publicly available testbed designed to facilitate research into complex, large-scale human teamwork and improve robot capabilities for natural, emergent collaborations.

Contribution

The paper introduces FACT, a novel, open-access testbed for modeling and analyzing complex, ad-hoc human teamwork to advance human-robot collaboration research.

Findings

Preliminary exploration with teams of various sizes.

Potential research questions for complex teamwork.

Insights into individual and team behaviors.

Abstract

Robots are envisioned to work alongside humans in applications ranging from in-home assistance to collaborative manufacturing. Research on human-robot collaboration (HRC) has helped develop various aspects of social intelligence necessary for robots to participate in effective, fluid collaborations with humans. However, HRC research has focused on dyadic, structured, and minimal collaborations between humans and robots that may not fully represent the large scale and emergent nature of more complex, unstructured collaborative activities. Thus, there remains a need for shared testbeds, datasets, and evaluation metrics that researchers can use to better model natural, ad-hoc human collaborative behaviors and develop robot capabilities intended for large scale emergent collaborations. We present one such shared resource - FACT (Full-body Ad-hoc Collaboration Testbed), an openly accessible testbed for researchers to obtain an expansive view of the individual and team-based behaviors involved in complex, co-located teamwork. We detail observations from a preliminary exploration with teams of various sizes and discuss potential research questions that may be investigated using the testbed. Our goal is for FACT to be an initial resource that supports a more holistic investigation of human-robot collaboration.