LaMAR：面向多任务机器人专家系统的可扩展架构-奖励协同设计

Kewei Chen, Yayu Long, Mingsheng Shang

Expert Systems with Applications · 2026

摘要

本文提出LaMAR框架，通过协同设计架构与奖励函数，实现多任务机器人专家系统的可扩展性。该方法旨在提升机器人学习效率与泛化能力。

multi-task roboticsarchitecture-reward co-designexpert systemsscalableLaMAR

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