diversify virtual training ground
Using generative AI to diversify virtual training grounds for robots
Chatbots like ChatGPT and Claude have experienced a meteoric rise in usage over the past three years because they can help you with a wide range of tasks. Whether you're writing Shakespearean sonnets, debugging code, or need an answer to an obscure trivia question, artificial intelligence systems seem to have you covered. Those data aren't enough to teach a robot to be a helpful household or factory assistant, though. To understand how to handle, stack, and place various arrangements of objects across diverse environments, robots need demonstrations. You can think of robot training data as a collection of how-to videos that walk the systems through each motion of a task.
Country:
- North America > United States > Texas (0.05)
- North America > United States > Michigan (0.05)
- Europe > United Kingdom > England > Buckinghamshire > Milton Keynes (0.05)
Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.55)
- Information Technology > Artificial Intelligence > Natural Language > Generation (0.51)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning > Generative AI (0.41)