让机器人用对话解释安全决策,提升人机协作透明度。
Dialogue based Interactive Explanations for Safety Decisions in Human Robot Collaboration
- 用安全约束状态生成可交互的对话解释
- 支持因果、对比、反事实等追问,且不破坏安全保证
- 适用于建筑机器人等高危场景的人机协同
随着机器人在共享、高安全要求环境中应用增多,仅确保安全已不够,还需让人类合作者理解其安全决策。在人机协作(HRC)中,如停止或切换模式等行为常由内部安全约束触发,但对附近人员不透明。本文提出一种基于对话的交互式安全决策解释框架,将解释与基于约束的安全评估紧密结合,对话基于相同的系统状态和约束表示,直接从决策记录中生成解释,支持用户提出因果(为什么?)、对比(为什么不?)、反事实(如果……会怎样?)等问题。反事实推理在固定且经过认证的安全参数下进行,确保交互探索不会降低运行保障。我们在建筑机器人场景中实现了该框架,并提供结构化操作日志,展示约束感知对话如何澄清安全干预并支持任务协同恢复。通过将解释作为安全控制的操作接口,本研究推动了人机协作中交互式安全自治的设计范式。
原文摘要 · Abstract (English)
As robots increasingly operate in shared, safety critical environments, acting safely is no longer sufficient robots must also make their safety decisions intelligible to human collaborators. In human robot collaboration (HRC), behaviours such as stopping or switching modes are often triggered by internal safety constraints that remain opaque to nearby workers. We present a dialogue based framework for interactive explanation of safety decisions in HRC. The approach tightly couples explanation with constraint based safety evaluation, grounding dialogue in the same state and constraint representations that govern behaviour selection. Explanations are derived directly from the recorded decision trace, enabling users to pose causal ("Why?"), contrastive ("Why not?"), and counterfactual ("What if?") queries about safety interventions. Counterfactual reasoning is evaluated in a bounded manner under fixed, certified safety parameters, ensuring that interactive exploration does not relax operational guarantees. We instantiate the framework in a construction robotics scenario and provide a structured operational trace illustrating how constraint aware dialogue clarifies safety interventions and supports coordinated task recovery. By treating explanation as an operational interface to safety control, this work advances a design perspective for interactive, safety aware autonomy in HRC.
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