Image 1 - Using the popular large language model Chat-GPT-3 to develop a robotic gripper for harvesting tomatoes

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Chat-GPT-designed robotic gripper

Creator: EPFL

Country: Switzerland

Year: 2023

Summary

Using the popular large language model Chat-GPT-3 to develop a robotic gripper for harvesting tomatoes

Status: Prototype, In development, Research

Operation: Other

Robot Type / Domain: Research, Agriculture & Forestry

Tasks: harvesting, robot design

Learn More

For more information, refer to the article below:

Stella, F., Della Santina, C. & Hughes, J. How can LLMs transform the robotic design process?. Nat Mach Intell 5, 561–564 (2023). https://doi.org/10.1038/s42256-023-00669-7

The article discusses the potential of large language models (LLMs) like ChatGPT to revolutionize the robot design process through human-AI co-design strategies. LLMs have the ability to process and understand natural language, which enables them to analyze vast amounts of text data and provide coherent responses based on implicit knowledge. The article presents a case study of designing a robot with the assistance of ChatGPT-3, highlighting the collaboration between the human designer and the LLM at both conceptual and technical levels. The LLM serves as a source of knowledge and guidance, assisting the human in exploring interdisciplinary connections and refining the design specifications. However, there are risks associated with LLMs, such as potential errors, biases, and oversimplification. The article emphasizes the need for responsible use of LLMs and raises concerns regarding intellectual property, traceability, bias, and societal implications. It concludes by suggesting that if managed appropriately, LLMs can be a powerful tool for accelerating robot development in an ethical and empowering manner, potentially leading to fully automated design processes and autonomous fabrication in the future.

Technical Specifications

Robot Type: Hand / Gripper

Max. Reach: N/A

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Max. Slope: N/A

Battery Operated? N/A

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Mobility: Other

Locomotion Type: N/A

Number of Axes: N/A

Manipulation: N/A

IP Rating: N/A

Operating Temperature: N/A

Open-source? N/A

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References

Stella, F., Della Santina, C. & Hughes, J. How can LLMs transform the robotic design process?. Nat Mach Intell 5, 561–564 (2023). https://doi.org/10.1038/s42256-023-00669-7

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