Optimization of Modular Robotic Construction Using Evolutionary Algorithms for Fitness Design Check 模型预览

GrabCAD 模型信息

Optimization of Modular Robotic Construction Using Evolutionary Algorithms for Fitness Design Check · 模型 114454

作者:Muhammad Amin

This proposal aims to enhance NASA’s modular robotic construction techniques using evolutionary algorithms (EAs). The proposed method optimizes the design and assembly of structural modules, robotic agents, and utility outfitting systems by introducing fitness checks. These checks assess key mission parameters such as mass, assembly complexity, and scalability, improving the construction of infrastructure on the Moon, Mars, and other space exploration environments. By utilizing evolutionary algorithms, the proposal focuses on developing adaptable, efficient, and scalable robotic assembly systems to meet NASA's long-term objectives in space exploration.

格式
Snagit、STL、Other
分类
Aerospace、Construction、Robotics
标签
nasaroboticassemblyandoutfitting、outfitting systems、space robotics、structural optimization、autonomous assembly、space infrastructure、modular robotic construction、evolutionary algorithms
数据更新
2026-09-28T12:48:40Z
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