Botson用低成本机器人提升人机信任，靠语言模型实现类人社交互动。
Botson: An Accessible and Low-Cost Platform for Social Robotics Research
- 基于大语言模型的拟人化机器人架构设计
- 通过非语言社交线索增强用户信任感
- 专为社会机器人研究打造的低门槛平台
信任仍是人工智能在以人为本领域有效融合的关键障碍。无实体的智能体（如语音助手）因无法传递非语言社交线索，常难以建立用户信任。本文介绍Botson的设计架构：一个由大语言模型驱动的拟人化社交机器人。Botson旨在为社会机器人研究提供一种低成本、易获取的实验平台。
原文摘要 · Abstract (English)
Trust remains a critical barrier to the effective integration of Artificial Intelligence (AI) into human-centric domains. Disembodied agents, such as voice assistants, often fail to establish trust due to their inability to convey non-verbal social cues. This paper introduces the architecture of Botson: an anthropomorphic social robot powered by a large language model (LLM). Botson was created as a low-cost and accessible platform for social robotics research.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。