GPT for Robotics: Perception-Action Causal Transformer(microsoft.com)
microsoft.com
GPT for Robotics: Perception-Action Causal Transformer
https://www.microsoft.com/en-us/research/group/autonomous-systems-group-robotics/articles/perception-action-causal-transformer-for-autoregressive-robotics-pretraining/
Highlights:
- Transformer model for autoregressive prediction of states and actions over time to implicitly encode dynamics and behaviors for a particular robot
- The representation learned can be fine-tuned to distinct tasks (navigation, mapping, localization) with minimal data
- The base transformer model serves as a generative robotics model, similarly to GPT-3, and can be prompted to result in different robot behaviors
Paper: https://arxiv.org/abs/2209.11133;
Video: https://youtu.be/mNQvQu_atuw;
Code and data: https://github.com/microsoft/PACT