Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude
This study investigates the effectiveness of Large Language Models (LLMs) in generating code for Human-Robot Interaction (HRI) applications. We present the first direct comparison of ChatGPT 3.5, Gemini 1.5 Pro, and Claude 3.5 Sonnet in the specific context of generating code for Human-Robot Interac...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2439610 |
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