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  1. Home
  2. Signal Canvas
  3. PRIOR: Perceptive Learning for Humanoid Locomotion with Refe
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PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors

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Evidence Receipt

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

Claims: 0

References: 0

Proof: no_code

Distribution: unknown

Source paper: PRIOR: Perceptive Learning for Humanoid Locomotion with Reference Gait Priors

PDF: https://arxiv.org/pdf/2603.18979v1

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-04-03T20:30:24.533848+00:00

Starting…

Dimensions overall score 7.0

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Builds On This
ADAPT: Adaptive Dual-projection Architecture for Perceptive Traversal
Score 3.0down
Builds On This
RoboForge: Physically Optimized Text-guided Whole-Body Locomotion for Humanoids
Score 3.0down
Prior Work
TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour
Score 7.0stable
Prior Work
Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
Score 7.0stable
Competing Approach
Towards Terrain-Aware Safe Locomotion for Quadrupedal Robots Using Proprioceptive Sensing
Score 4.0down
Competing Approach
Omnidirectional Humanoid Locomotion on Stairs via Unsafe Stepping Penalty and Sparse LiDAR Elevation Mapping
Score 7.0stable
Competing Approach
REAL: Robust Extreme Agility via Spatio-Temporal Policy Learning and Physics-Guided Filtering
Score 3.0down
Competing Approach
CMR: Contractive Mapping Embeddings for Robust Humanoid Locomotion on Unstructured Terrains
Score 3.0down

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