# A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots

arXiv: https://arxiv.org/abs/2603.25646 · HTML: https://mlsanity.com/paper/2603.25646/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 28 references that are in the map.
- First posted on arXiv 26 Mar 2026.

## Builds on (most cited first, 5 of 5)

- [LLaMA: Open and Efficient Foundation Language Models](https://mlsanity.com/paper/2302.13971/) (2023)
- [Inner Monologue: Embodied Reasoning through Planning with Language Models](https://mlsanity.com/paper/2207.05608/) (2022)
- [Robot Operating System 2: Design, Architecture, and Uses In The Wild](https://mlsanity.com/paper/2211.07752/) (2022)
- [The Marathon 2: A Navigation System](https://mlsanity.com/paper/2003.00368/) (2020)
- [Human-Centered AI and Autonomy in Robotics: Insights from a Bibliometric Study](https://mlsanity.com/paper/2504.19848/) (2025)

## Built on by (most cited first, 1 of 1)

- [EdgeLPR: On the Deep Neural Network trade-off between Precision and Performance in LiDAR Place Recognition](https://mlsanity.com/paper/2605.02275/) (2026)

## Abstract (arXiv)

This paper presents an experimental platform for studying intentional-state attribution toward a non-humanoid robot. The system combines a simulated robot, realistic task environments, and large language model-based explanatory layers that can express the same behavior in mentalistic, teleological, or mechanistic terms. By holding behavior constant while varying the explanatory frame, the platform provides a controlled way to investigate how language and framing shape the adoption of the intentional stance in robotics.