This Tomato-Picking Robot Was Designed By ChatGPT
Rahul Kalvapalle — June 8, 2023 — Tech
References: actu.epfl.ch & inceptivemind
A team of researchers from Delft University of Technology in the Netherlands and the Swiss Federal Institute of Technology have introduced the world to a harvesting robot that was not designed and constructed by human scientists alone, but was rather created by the ChatGPT language model.
The harvesting robot in question, which is specifically designed to pick tomatoes, relies on a robotic gripper that researchers built based on an array of technical suggestions and feedback provided by ChatGPT-3, the third-generation model created by OpenAI. The ChatGPT-3 suggestions were found to be viable, given the fact that the scientists constructed and tested the robot's tomato-picking abilities with successful results.
What's more, the project also took ChatGPT's input into account when deciding the aims of the endeavor, with the AI language model having identified tomatoes as the highest-priority crop to explore as a target for robot-based harvesting.
Ultimately, this harvesting robot speaks to the potential of AI systems contributing to engineering endeavors in the robotics realm, with the project's leaders pointing to the importance of balancing human and AI contributions to achieve sustainable and ethical results.
Image Credit: CREATE Lab / EPFL
The harvesting robot in question, which is specifically designed to pick tomatoes, relies on a robotic gripper that researchers built based on an array of technical suggestions and feedback provided by ChatGPT-3, the third-generation model created by OpenAI. The ChatGPT-3 suggestions were found to be viable, given the fact that the scientists constructed and tested the robot's tomato-picking abilities with successful results.
What's more, the project also took ChatGPT's input into account when deciding the aims of the endeavor, with the AI language model having identified tomatoes as the highest-priority crop to explore as a target for robot-based harvesting.
Ultimately, this harvesting robot speaks to the potential of AI systems contributing to engineering endeavors in the robotics realm, with the project's leaders pointing to the importance of balancing human and AI contributions to achieve sustainable and ethical results.
Image Credit: CREATE Lab / EPFL
Trend Themes
1. AI-assisted Robotics - Using AI language models to design and construct robots for specific tasks.
2. Automated Harvesting - The use of robotic systems for efficient and accurate crop harvesting.
3. Human-AI Collaboration - Collaborative efforts between AI language models and human engineers for advanced robotics solutions.
Industry Implications
1. Agriculture - Implementing automated harvesting robots in the agriculture industry for increased efficiency and productivity.
2. Robotics - Using AI language models in the design and creation of advanced robotic systems for various industries.
3. Engineering - The integration of AI and robotics technology in engineering projects for innovative and sustainable solutions.
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