In aging-in-place contexts, small difficulties in Activities of Daily Living (ADL) can accumulate, affecting well-being through fatigue, anxiety, reduced autonomy, and safety risks. This position paper argues that robotics for older adult wellbeing must move beyond "convenience features" and centre equity, justice, and responsibility. We conducted ADL-grounded semi-structured interviews with four adults in their 70s-80s, identifying recurrent challenges (finding/ organising items, taking medication, and transporting objects) and deriving requirements to reduce compounded cognitive-physical burden. Based on these insights, we propose an in-home robotic furnishing-agent concept leveraging computer vision and generative AI and LLMs for natural-language interaction, context-aware reminders, safe actuation, and user-centred transparency. We then report video-stimulated follow-up interviews with the same participants, highlighting preferences for confirmation before actuation, predictability, adjustable speed/autonomy, and multimodal feedback, as well as equity-related concerns. We conclude with open questions on evaluating and deploying equitable robotic wellbeing systems in real homes.

翻译：在适老化居家环境中，日常生活活动中的微小困难会逐渐累积，通过疲劳、焦虑、自主性降低和安全风险影响老年人的健康福祉。本立场论文主张，服务于老年人福祉的机器人技术必须超越"便利性功能"，以公平性、正义和责任为核心。我们通过对四位70-80岁老年人开展基于日常生活活动的半结构化访谈，识别出反复出现的挑战（物品寻找/整理、服药管理、物品搬运），并推导出减轻复合型认知-身体负担的设计要求。基于这些发现，我们提出一种居家机器人辅助家居系统概念，该系统利用计算机视觉、生成式人工智能和大型语言模型实现自然语言交互、情境感知提醒、安全驱动和以用户为中心的透明度机制。随后我们报告了对相同参与者进行的视频刺激追踪访谈结果，重点揭示了用户对驱动前确认、可预测性、可调节速度/自主性、多模态反馈的偏好，以及涉及公平性的关切。最后，我们提出了关于在真实家居环境中评估和部署公平性机器人福祉系统的开放性研究问题。