ROAIHCFeb 23

Botson: An Accessible and Low-Cost Platform for Social Robotics Research

arXiv:2602.19491v1h-index: 2
Originality Synthesis-oriented
AI Analysis

This addresses the issue of trust in AI for human-centric domains, but it appears incremental as it builds on existing LLM and robotics concepts.

The paper tackles the problem of trust in AI integration by introducing Botson, an anthropomorphic social robot powered by a large language model, designed as a low-cost and accessible platform for social robotics research.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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