HARMONIC：人机团队中的认知与控制协作
HARMONIC: Cognitive and Control Collaboration in Human-Robotic Teams
AI总结：
本文提出HARMONIC认知机器人架构，通过集成OntoAgent框架与通用机器人控制系统，融合元认知、自然语言通信和可解释性，在联合搜索任务仿真中实现了人机团队互信、行动协调与决策解释。
摘要：
本文介绍了HARMONIC，这是一种认知机器人架构，它将OntoAgent认知框架与应用于人机团队协作（HRT）的通用机器人控制系统相集成。HARMONIC融合了HRT中建立互信所需的元认知、有意义的自然语言通信和可解释性能力。通过涉及由两台基于HARMONIC的异构机器人与一名人类操作员组成的异构团队执行联合搜索任务的仿真实验，我们展示了能够协调行动、适应复杂场景并进行自然的人机通信的异构机器人。评估结果表明，基于HARMONIC的机器人能够对计划、目标和团队成员态度进行推理，同时为其决策提供清晰的解释，这些是现实的人机团队协作的必要要求。
英文摘要：
This paper describes HARMONIC, a cognitive-robotic architecture that integrates the OntoAgent cognitive framework with general-purpose robot control systems applied to human-robot teaming (HRT). HARMONIC incorporates metacognition, meaningful natural language communication, and explainability capabilities required for developing mutual trust in HRT. Through simulation experiments involving a joint search task performed by a heterogeneous team of two HARMONIC-based robots and a human operator, we demonstrate heterogeneous robots that coordinate their actions, adapt to complex scenarios, and engage in natural human-robot communication. Evaluation results show that HARMONIC-based robots can reason about plans, goals, and team member attitudes while providing clear explanations for their decisions, which are essential requirements for realistic human-robot teaming.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
