arXiv:2502.14803cs.ROcs.SY2025-02被引 7

三台机器人自主探月,规划调度系统确保协同作业与资源安全

Planning, scheduling, and execution on the Moon: the CADRE technology demonstration mission

  • 采用集中规划、分布式执行架构,支持多机器人协同任务
  • 实现月面3D重建与地下雷达测绘,全程无需人工干预
  • 适合对自主探测系统感兴趣的科研与工程人员

NASA的协作式自主分布式机器人探索(CADRE)任务计划于2025/2026年飞往月球雷纳伽马区域,旨在演示多智能体在月表及月壤下的自主探索。三台机器人与一个基站将自主探索着陆点附近区域,无需人为介入即可完成月面三维重建;随后以编队形式开展多站式地穿透雷达(GPR)分布式感知,通过协调雷达探测生成地下结构图。系统核心为新型自主分布式规划、调度与执行(PS&E)架构,协调多机器人协作任务,确保各机器人热能与电力资源在限定范围内,并遵守地面规定的休眠-唤醒周期。系统采用集中规划、分布式执行范式,通过领导者选举机制保障个体故障下的鲁棒性。本文介绍CADRE PS&E系统的架构设计、设计动机,并报告其在真实硬件上的验证与测试结果,为登月部署做准备。

原文摘要 · Abstract (English)

NASA's Cooperative Autonomous Distributed Robotic Exploration (CADRE) mission, slated for flight to the Moon's Reiner Gamma region in 2025/2026, is designed to demonstrate multi-agent autonomous exploration of the Lunar surface and sub-surface. A team of three robots and a base station will autonomously explore a region near the lander, collecting the data required for 3D reconstruction of the surface with no human input; and then autonomously perform distributed sensing with multi-static ground penetrating radars (GPR), driving in formation while performing coordinated radar soundings to create a map of the subsurface. At the core of CADRE's software architecture is a novel autonomous, distributed planning, scheduling, and execution (PS&E) system. The system coordinates the robots' activities, planning and executing tasks that require multiple robots' participation while ensuring that each individual robot's thermal and power resources stay within prescribed bounds, and respecting ground-prescribed sleep-wake cycles. The system uses a centralized-planning, distributed-execution paradigm, and a leader election mechanism ensures robustness to failures of individual agents. In this paper, we describe the architecture of CADRE's PS&E system; discuss its design rationale; and report on verification and validation (V&V) testing of the system on CADRE's hardware in preparation for deployment on the Moon.

月球探测多智能体自主系统机器人协同

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