Robotics and Artificial Intelligence (AI) have been inextricably intertwined since their inception. Today, AI-Robotics systems have become an integral part of our daily lives, from robotic vacuum cleaners to semi-autonomous cars. These systems are built upon three fundamental architectural elements: perception, navigation and planning, and control. However, while the integration of AI-Robotics systems has enhanced the quality our lives, it has also presented a serious problem - these systems are vulnerable to security attacks. The physical components, algorithms, and data that make up AI-Robotics systems can be exploited by malicious actors, potentially leading to dire consequences. Motivated by the need to address the security concerns in AI-Robotics systems, this paper presents a comprehensive survey and taxonomy across three dimensions: attack surfaces, ethical and legal concerns, and Human-Robot Interaction (HRI) security. Our goal is to provide users, developers and other stakeholders with a holistic understanding of these areas to enhance the overall AI-Robotics system security. We begin by surveying potential attack surfaces and provide mitigating defensive strategies. We then delve into ethical issues, such as dependency and psychological impact, as well as the legal concerns regarding accountability for these systems. Besides, emerging trends such as HRI are discussed, considering privacy, integrity, safety, trustworthiness, and explainability concerns. Finally, we present our vision for future research directions in this dynamic and promising field.

翻译：机器人与人工智能自诞生之初便密不可分。如今，AI-机器人系统已深刻融入日常生活，从扫地机器人到半自动驾驶汽车，其应用无处不在。这类系统建立在三大核心架构要素之上：感知、导航与规划，以及控制。然而，AI-机器人系统的普及虽提升了生活质量，却引发了严峻的安全问题——这些系统极易遭受安全攻击。构成AI-机器人系统的物理组件、算法与数据可能被恶意行为者利用，导致严重后果。为回应AI-机器人系统安全问题的迫切需求，本文从攻击面、伦理法律问题及人机交互安全三个维度展开全面综述与分类。我们旨在为用户、开发者及其他利益相关方提供对这些领域的整体认知，以提升AI-机器人系统的整体安全性。首先，我们梳理潜在攻击面并提出防御策略；进而探讨依赖性与心理影响等伦理议题，以及系统问责相关的法律问题。此外，针对人机交互等新兴趋势，我们从隐私、完整性、安全性、可信度与可解释性等角度展开讨论。最后，展望这一充满活力与潜力的未来研究方向。