Multi-Robot Navigation in Social Mini-Games: Definitions, Taxonomy, and Algorithms
Rohan Chandra, Shubham Singh, Wenhao Luo, Katia Sycara

TL;DR
This paper introduces a comprehensive taxonomy and evaluation framework for social mini-game navigation, addressing the lack of standardized methods and definitions in multi-robot navigation research within complex, interactive environments.
Contribution
It provides the first unified classification of SMG navigation methods, clarifies essential properties, and establishes evaluation protocols to advance research in this specialized field.
Findings
Catalogs existing SMG solvers with a unified taxonomy
Defines key properties and distinctions of SMG navigation
Outlines evaluation protocols and future research directions
Abstract
The "Last Mile Challenge" has long been considered an important, yet unsolved, challenge for autonomous vehicles, public service robots, and delivery robots. A central issue in this challenge is the ability of robots to navigate constrained and cluttered environments that have high agency (e.g., doorways, hallways, corridor intersections), often while competing for space with other robots and humans. We refer to these environments as "Social Mini-Games" (SMGs). Traditional navigation approaches designed for MRN do not perform well in SMGs, which has led to focused research on dedicated SMG solvers. However, publications on SMG navigation research make different assumptions, and have different objective functions (safety versus liveness). These assumptions and objectives are sometimes implicitly assumed or described informally. This makes it difficult to establish appropriate baselines…
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