通过能力增量探索人机团队基于能力的控制分布：形式化与启示
Exploring Capability-Based Control Distributions of Human-Robot Teams Through Capability Deltas: Formalization and Implications
AI总结：
针对人机团队能力缺乏灵活量化形式化的问题，提出 Capability Deltas 框架，基于职业评估流程量化能力差距并扩展至多维空间，以支持角色分配与自主补偿决策。
摘要：
在现代团队协作概念中，普遍隐含着人类与自主智能体具备某些能力这一假设。然而，现有研究均未以灵活且可量化的方式对这些能力进行形式化。本文提出 Capability Deltas（能力增量），为构建自主辅助系统建立可量化依据；在该系统中，一个智能体承担领导者角色，另一个承担支持者角色。我们基于残障人士职业融入领域一套成熟的评估与记录流程，推导了人类能力的量化方法。这使我们能够量化团队当前能力与工作流程所设定要求之间的增量（即差距）。随后，该概念被扩展到多维能力空间，从而能够形式化补偿行为，并评估自主智能体所需采取的行动。
英文摘要：
The implicit assumption that human and autonomous agents have certain capabilities is omnipresent in modern teaming concepts. However, none formalize these capabilities in a flexible and quantifiable way. In this paper, we propose Capability Deltas, which establish a quantifiable source to craft autonomous assistance systems in which one agent takes the leader and the other the supporter role. We deduct the quantification of human capabilities based on an established assessment and documentation procedure from occupational inclusion of people with disabilities. This allows us to quantify the delta, or gap, between a team's current capability and a requirement established by a work process. The concept is then extended to the multi-dimensional capability space, which then allows to formalize compensation behavior and assess required actions by the autonomous agent.
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。
