May 12, 2024, 5:43 a.m. | Mohammad Asjad

MarkTechPost www.marktechpost.com

The robotics field has historically vacillated between two primary architectural paradigms: modular hierarchical policies and end-to-end policies. Modular hierarchies employ rigid layers such as symbolic planning, trajectory generation, and tracking, while end-to-end policies utilize high-capacity neural networks to map sensory input directly to actions. The emergence of large language models (LLMs) has renewed interest in […]


The post UC Berkeley Researchers Introduce Learnable Latent Codes as Bridges (LCB): A Novel AI Approach that Combines the Abstract Reasoning Capabilities of Large …

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