![[2602.19491] Botson: An Accessible and Low-Cost Platform for Social Robotics Research](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
[2602.19491] Botson: An Accessible and Low-Cost Platform for Social Robotics Research
Summary
The paper presents Botson, a low-cost, accessible platform for social robotics research, designed to enhance trust in AI through anthropomorphic features and large language model integration.
Why It Matters
As AI continues to permeate human-centric domains, establishing trust is crucial. Botson aims to bridge this gap by providing a platform that allows researchers to explore social robotics, potentially leading to more effective human-robot interactions and applications.
Key Takeaways
- Botson is designed to enhance trust in AI through anthropomorphic features.
- The platform is low-cost and accessible, promoting wider research opportunities.
- Integration of large language models allows for improved human-robot interaction.
Computer Science > Robotics arXiv:2602.19491 (cs) [Submitted on 23 Feb 2026] Title:Botson: An Accessible and Low-Cost Platform for Social Robotics Research Authors:Samuel Bellaire, Abdalmalek Abu-raddaha, Natalie Kim, Nathan Morhan, William Elliott, Samir Rawashdeh View a PDF of the paper titled Botson: An Accessible and Low-Cost Platform for Social Robotics Research, by Samuel Bellaire and 5 other authors View PDF HTML (experimental) Abstract: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. Comments: Subjects: Robotics (cs.RO); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) Cite as: arXiv:2602.19491 [cs.RO] (or arXiv:2602.19491v1 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2602.19491 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Abdalmalek Aburaddaha [view email] [v1] Mon, 23 Feb 2026 04:21:05 UTC (2,440 KB) Full-text links: Access Paper: View a PDF of the paper titled Botson: An Accessible and Low-Cost Platform for Social Robotics Research, by Samuel Bellaire and 5 other aut...
