Botson: An Accessible and Low-Cost Platform for Social Robotics Research
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 25 references that are in the map. First posted on arXiv 23 Feb 2026.
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9 of 25 references.
References · 9
- 2020Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AIcited by 166
- 2023MotionGPT: Finetuned LLMs Are General-Purpose Motion Generatorscited by 145
- 2024Understanding Large-Language Model (LLM)-powered Human-Robot Interactioncited by 43
- 2024Trust in AI: Progress, Challenges, and Future Directionscited by 35
- 2025Brevity is the soul of sustainability: Characterizing LLM response lengthscited by 9
- 2025ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulationcited by 8
- 2024LLM Gesticulator: Leveraging Large Language Models for Scalable and Controllable Co-Speech Gesture Synthesiscited by 5
- 2023ChatAnything: Facetime Chat with LLM-Enhanced Personascited by 3
- 2025The Influence of Facial Features on the Perceived Trustworthiness of a Social Robotcited by 1
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