Nikolaos Polatidis
Papers
2
Total Citations
26
H-Index
2
About
Nikolaos Polatidis is at the forefront of integrating artificial intelligence with robotics, with a primary focus on Human-Robot Interaction (HRI) and robotic manipulation. His most impactful work, "Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude" (2024, 24 citations), provides the first direct comparison of major Large Language Models—ChatGPT 3.5, Gemini 1.5 Pro, and Claude 3.5 Sonnet—specifically for generating code in HRI contexts. This study is a critical resource for researchers and developers seeking to leverage LLMs for more intuitive robot programming. Polatidis has also contributed a comprehensive review, "A Review of Advances in Large Language and Vision Models for Robotic Manipulation: Techniques, Integrations, and Challenges" (2025), which synthesizes the latest techniques for combining language and vision models to enhance robotic dexterity. His work bridges the gap between cutting-edge AI models and practical robotic applications, addressing key challenges in code generation and manipulation. With his early-career citations already establishing a foundation, Polatidis is shaping how robots understand and execute human instructions through advanced AI.
Research Focus
Key Achievements
Top Papers
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- 2