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Robotics

Dexora: Open-source VLA for High-DoF Bimanual Dexterity

Zongzheng Zhang, Jingrui Pang

Featured June 6, 2026

Original Paper

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Simply

A new robot system called Dexora lets robots use two hands with many fingers to do tricky tasks, learning from human examples but ignoring the wobbly ones to get really good.

In depth
The paper introduces Dexora, the first open-source Vision-Language-Action (VLA) system designed for dual-arm, dual-hand high-DoF manipulation. It achieves this by combining a novel hybrid teleoperation pipeline for large-scale data collection with a data-quality-aware training recipe that uses an offline discriminator to prioritize high-quality demonstrations, leading to superior dexterity and generalization.

Key Takeaways

  • 1
    Dexora is the first open-source VLA system to natively support dual-arm, dual-hand high-DoF (36-DoF) manipulation, addressing a critical gap in embodied AI.
  • 2
    A hybrid teleoperation pipeline (exoskeleton for arms, Apple Vision Pro for fingers) and a large, embodiment-matched dataset (simulated + real) enable scalable and accurate data collection for complex dexterous tasks.
  • 3
    A data-quality-aware training recipe employs an offline discriminator to assign clip-level weights, effectively down-weighting noisy teleoperation demonstrations and stabilizing policy learning.

Conceptual Flow

HIGH LEVEL
1
Methodology: Learning High-DoF Dexterity

The system collects human examples using special gear, filters out bad ones, and then teaches a robot policy to do complex tasks with two hands.

Human Actions
Robot Vision
Text Goal
Collect & Filter Data
Smart Robot Policy
2
Results: Unlocking Dual-Arm, Dual-Hand Control

Unlike older robots that could only use simple grippers or one hand, this new system lets robots use two complex hands, making them much better at hard tasks.

Old Robot Limits
Dexora System
Achieve Complex Tasks
Better Success
More General Skills