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  3. HALO:Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile
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HALO:Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable Simulation

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Viability
0.0/10

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: HALO:Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable Simulation

PDF: https://arxiv.org/pdf/2603.15084v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 7.0

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HALyPO: Heterogeneous-Agent Lyapunov Policy Optimization for Human-Robot Collaboration
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Prior Work
Make Tracking Easy: Neural Motion Retargeting for Humanoid Whole-body Control
Score 7.0stable
Higher Viability
DreamControl-v2: Simpler and Scalable Autonomous Humanoid Skills via Trainable Guided Diffusion Priors
Score 8.0up
Competing Approach
HybridMimic: Hybrid RL-Centroidal Control for Humanoid Motion Mimicking
Score 7.0stable
Competing Approach
Sim-to-Real of Humanoid Locomotion Policies via Joint Torque Space Perturbation Injection
Score 7.0stable
Competing Approach
MetaWorld-X: Hierarchical World Modeling via VLM-Orchestrated Experts for Humanoid Loco-Manipulation
Score 7.0stable

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