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Diffusion Policy

3 articles · Page 1 of 1

Sep 9, 2026 · Artificial Intelligence

Action Map Policy: Pixel Classification for High-Precision Robot Manipulation

Action Map Policy (AMP) reframes robot manipulation as pixel-level classification by projecting 3D keypoint trajectories onto 2D image planes, enabling cross-entropy loss to model multi-modal action distributions with sub-millimeter precision and single-forward-pass inference.

Action Map PolicyCross-EntropyDiffusion Policy

0 likes · 12 min read

Action Map Policy: Pixel Classification for High-Precision Robot Manipulation

Network Intelligence Research Center (NIRC)

Jul 17, 2026 · Artificial Intelligence

How Close Is Embodied AI to Real-World Deployment in 2026?

The article provides a 2026 panoramic analysis of embodied AI, explaining why the convergence of large models, world models, and mature hardware makes real‑world robot deployment the next milestone, and outlines technical breakthroughs, industry players, Chinese advantages, key challenges, and five‑year predictions.

Diffusion PolicyEmbodied AIVLA

0 likes · 21 min read

How Close Is Embodied AI to Real-World Deployment in 2026?

Machine Heart

Jun 7, 2026 · Artificial Intelligence

DexJoCo: First High‑Difficulty Benchmark with 11 Dexterous Manipulation Tasks Covering Four Core Abilities

DexJoCo, a new MuJoCo‑based benchmark from the Chinese Academy of Sciences, introduces 11 complex dexterous‑hand tasks spanning tool use, bimanual collaboration, long‑horizon execution, and reasoning, and reveals that even state‑of‑the‑art robot learning models still struggle with reliable fine‑grained manipulation.

ACTDiffusion PolicyMuJoCo

0 likes · 7 min read

DexJoCo: First High‑Difficulty Benchmark with 11 Dexterous Manipulation Tasks Covering Four Core Abilities