EigenDEXplore: Structured Exploration for Dexterous Manipulation with Human Priors

cs.RO, cs.AI

Submitted: 2026-10-06

Updated: 2026-10-13

Comments: 15 pages, 12 figures. Project page: https://eigendexplore.github.io/

Code: https://github.com/younghyopark/aprilcube

Project page: https://eigendexplore.github.io

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• LUCID: Learning Embodiment-Agnostic Intent Models from Unstructured Human Videos for Scalable Dexterous Robot Skill Acquisition
• Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations
• Dex4D: Task-Agnostic Point Track Policy for Zero-Shot Dexterous Manipulation
• Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
• SPIDER: Scalable Physics-Informed Dexterous Retargeting
• Proximal Policy Optimization Algorithms
• VQ-ACE: Efficient Policy Search for Dexterous Robotic Manipulation via Action Chunking Embedding
• LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation
• UniCross: Unified Cross-Skill Dexterous Manipulation Synthesis

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