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Robotic Manipulation
MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
Published:8/27/2025
Vision-Language-Action ModelRobotic ManipulationLong-Term Memory and Anticipatory ActionMemory-Conditioned Diffusion ModelsShort-Term Memory and Cognition Fusion
MemoryVLA is a memorycentric VisionLanguageAction framework for nonMarkovian robotic manipulation, integrating working memory and episodic memory. It significantly enhances performance in 150 tasks, achieving up to a 26% success rate increase across simulations and realworl
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SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation
Published:11/13/2025
Disentangled Spatial Representation ModelRobotic ManipulationSemantic-guided Geometric ModuleMultitask EvaluationSpatial Transformer
The paper presents the SpatialActor model to enhance robustness in robotic manipulation by decoupling semantic and geometric information. It employs a semanticguided geometric module and a spatial transformer. The model demonstrates superior performance across various tasks unde
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GWM: Towards Scalable Gaussian World Models for Robotic Manipulation
Gaussian World ModelRobotic ManipulationModel-Based Reinforcement LearningOffline Imitation LearningPolicy Network
This paper presents the Gaussian World Model (GWM) for robotic manipulation, addressing the lack of 3D geometric understanding in existing models. GWM uses 3D Gaussian primitives and combines a Diffusion Transformer with a 3D VAE to reconstruct future states, enhancing imitation
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