Are Transformers Truly Foundational for Robotics?

Autor: Marshall, James A. R., Barron, Andrew B.
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: Generative Pre-Trained Transformers (GPTs) are hyped to revolutionize robotics. Here we question their utility. GPTs for autonomous robotics demand enormous and costly compute, excessive training times and (often) offboard wireless control. We contrast GPT state of the art with how tiny insect brains have achieved robust autonomy with none of these constraints. We highlight lessons that can be learned from biology to enhance the utility of GPTs in robotics.
Databáze: arXiv