A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews

TL;DR

This paper presents MOSAIC Viewer, a visual analytics tool designed to help operators understand and diagnose desynchronization issues in multi-robot systems' worldviews, improving efficiency and accuracy in complex robotic coordination tasks.

Contribution

The paper introduces MOSAIC Viewer, a novel visual analytics system that aids in detecting and analyzing desynchronized worldviews in multi-robot systems, validated through expert evaluation.

Findings

MOSAIC Viewer enables faster detection of desynchronization.

Operators find MOSAIC Viewer easier to use than current methods.

The system helps link low-level details to high-level understanding.

Abstract

Autonomous multi-robot systems, where a team of robots shares information to perform tasks that are beyond an individual robot's abilities, hold great promise for a number of applications, such as planetary exploration missions. Each robot in a multi-robot system that uses the shared-world coordination paradigm autonomously schedules which robot should perform a given task, and when, using its worldview--the robot's internal representation of its belief about both its own state, and other robots' states. A key problem for operators is that robots' worldviews can fall out of sync (often due to weak communication links), leading to desynchronization of the robots' scheduling decisions and inconsistent emergent behavior (e.g., tasks not performed, or performed by multiple robots). Operators face the time-consuming and difficult task of making sense of the robots' scheduling decisions, detecting de-synchronizations, and pinpointing the cause by comparing every robot's worldview. To address these challenges, we introduce MOSAIC Viewer, a visual analytics system that helps operators (i) make sense of the robots' schedules and (ii) detect and conduct a root cause analysis of the robots' desynchronized worldviews. Over a year-long partnership with roboticists at the NASA Jet Propulsion Laboratory, we conduct a formative study to identify the necessary system design requirements and a qualitative evaluation with 12 roboticists. We find that MOSAIC Viewer is faster- and easier-to-use than the users' current approaches, and it allows them to stitch low-level details to formulate a high-level understanding of the robots' schedules and detect and pinpoint the cause of the desynchronized worldviews.