Toward Evidence-Driven Human-Agent-Robot Teaming for Earth-Independent Anomaly Triage

Key points

• Deep-space crews cannot rely on real-time ground support for urgent off-nominal events.1
• A triage state manager maintains hypotheses, evidence provenance, uncertainty, operational context, and tool status; a crew-facing embodied agent elicits observations and explains assessment changes; and a mobile robot acquires targeted, localized evidence.1
• Two scenarios illustrate the architecture: a crewed deep-space mission based on an actual ISS ammonia false alarm, where suspected contamination restricts crew access, and a power-interface anomaly at a crewed lunar base, where robotic inspection distinguishes a local connector fault from other causes ambiguous in remote telemetry.1
• Our main contribution is an authority-bounded closed evidence-loop architecture, exercised in a hardware-in-the-loop integration prototype using Reachy Mini and an Innate MARS mobile robot.1

Sources (1)

• [1]Toward Evidence-Driven Human-Agent-Robot Teaming for Earth-Independent Anomaly Triage
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 6, 06:03 PM

  We present an evidence-driven architecture for human-agent-robot teaming in Earth-independent anomaly triage.

  Deep-space crews cannot rely on real-time ground support for urgent off-nominal events.

Extractive summary: sentences quoted from the sources.