Home MarkTechPost Scaling up learning across many different robot types
MarkTechPost

Scaling up learning across many different robot types

Share
Scaling up learning across many different robot types
Share



Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general-purpose robot?



Source link

Share

Leave a comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Articles
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
MarkTechPost

FACTS Grounding: A new benchmark for evaluating the factuality of large language models

Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive...

Updates to Veo, Imagen and VideoFX, plus introducing Whisk in Google Labs
MarkTechPost

Updates to Veo, Imagen and VideoFX, plus introducing Whisk in Google Labs

While video models often “hallucinate” unwanted details — extra fingers or unexpected...

A new AI model for the agentic era
MarkTechPost

A new AI model for the agentic era

A note from Google and Alphabet CEO Sundar Pichai: Information is at...

Google DeepMind at NeurIPS 2024
MarkTechPost

Google DeepMind at NeurIPS 2024

Research Published 5 December 2024 Advancing adaptive AI agents, empowering 3D scene...