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Unitree G1

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SmartApe AI
SmartApe AI
Nov 12, 2026 · Artificial Intelligence

REA Framework Enables Async Agent-VLA Collaboration for Embodied Robot Control

Researchers from NUS, InfRec Cardinal AI Lab, and UC Berkeley propose REA, an embodied runtime framework that enables asynchronous collaboration between high-level Agents and vision-language-action (VLA) models via a three-layer router, achieving 95.9% success on LIBERO-Pro with 25% fewer control steps and 17% less time, validated on Unitree G1 and AlohaMini2 robots.

AlohaMini2LIBERO-ProREA framework
0 likes · 10 min read
REA Framework Enables Async Agent-VLA Collaboration for Embodied Robot Control
Machine Heart
Machine Heart
Sep 25, 2026 · Artificial Intelligence

ULTRA: Unified Control for Humanoid Tracking & Goal-Driven Manipulation

ULTRA unifies motion tracking and sparse goal control in a single policy for humanoid robots, combining physics-driven motion retargeting, policy distillation, and RL fine-tuning, validated on Unitree G1 with first-person point cloud perception.

Reinforcement LearningSim-to-RealUnitree G1
0 likes · 9 min read
ULTRA: Unified Control for Humanoid Tracking & Goal-Driven Manipulation