A3P5 NEMESIS 集成漫游车设计：用于环境侦察与机器人采样，具备可复现的移动性分析和外部数据机器学习校准基准
A3P5 NEMESIS Integrated Rover Design for Environmental Reconnaissance and Robotic Sampling with Reproducible Mobility Analysis and an External Data Machine Learning Calibration Benchmark
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- St. Joseph Higher Secondary School（圣约瑟夫高等中学）
- BAF Shaheen College Kurmitola（孟加拉国空军沙欣学院库尔米托拉分校）
- Greenland Residential School（格陵兰寄宿学校）
机构由 AI 辅助整理，请以论文原文为准。
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中文总结 AI 辅助
本研究提出A3P5 NEMESIS四轮漫游车的集成设计，结合几何重建与移动性分析，并利用外部数据校准基准评估其环境侦察与采样性能。
中文摘要 AI 辅助
A3P5 NEMESIS 是一款四轮漫游车，旨在将远程检查、环境观测和轻量级操作集成于一个可维护的平台中。本研究开发了照片约束的几何重建、子系统架构和可复现的分析评估，同时区分物理原型证据与拟议功能。探索性检索在十个查询中获取了5,000条文献记录，产生4,897条唯一DOI记录和1,212条元数据候选；选定的主要研究和技术文档为设计提供了依据。重建配置保留了碳纤维图案外壳、独立转向轮组件、折叠式机械臂、倾斜相机桅杆和侧面采样设备。一个声明的24公斤场景在20度坡度上、均匀载荷分担下预测每个车轮的齿轮箱输出扭矩为3.28牛顿米；另一个静态模型显示，2公斤的前向有效载荷将几何前倾界限从38.1度降低到32.7度。这些是设计筛选，而非实测运行极限。一个公共数据校准基准使用7,344条符合条件的每小时观测数据、八个传感器/环境预测因子以及按时间顺序的训练、验证和测试分区。验证选择的岭回归实现了留出法CO均方根误差为0.502毫克每立方米，95%日块自举区间为0.435-0.569毫克每立方米。该结果涉及外部传感器阵列，不能确定NEMESIS的精度。综合分析确定了优先测量项、拟议的控制接口和任务特定的验证要求。贡献在于为一个集成现场性能尚待验证的原型提供了可追溯的工程设计研究和评估框架。
英文摘要
A3P5 NEMESIS is a four-wheel rover intended to combine remote inspection, environmental observation and lightweight manipulation within one serviceable platform. This study develops a photo-constrained geometric reconstruction, a subsystem architecture and a reproducible analytical assessment while distinguishing physical prototype evidence from proposed functions. An exploratory search retrieved 5,000 bibliographic records across ten queries, yielding 4,897 distinct DOI records and 1,212 metadata candidates; selected primary studies and technical documents informed the design. The reconstructed configuration retains the carbon-pattern enclosure, independently steered wheel assemblies, folded manipulator, inclined camera mast and side sampling equipment. A declared 24 kg scenario predicts 3.28 newton-metres of gearbox-output torque per wheel on a 20-degree grade under equal load sharing; a separate static model shows how a 2 kg forward payload reduces the geometric front-tipping bound from 38.1 degrees to 32.7 degrees. These are design screens, not measured operating limits. A public-data calibration benchmark uses 7,344 eligible hourly observations, eight sensor/environmental predictors and chronological training, validation and test partitions. Validation-selected ridge regression achieves a held-out CO root-mean-square error of 0.502 milligrams per cubic metre, with a 95% daily-block bootstrap interval of 0.435-0.569 milligrams per cubic metre. This result concerns an external sensor array and cannot establish NEMESIS accuracy. The combined analysis identifies priority measurements, proposed control interfaces and mission-specific validation requirements. The contribution is a traceable engineering design study and evaluation framework for a prototype whose integrated field performance remains to be established.
