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Yutaka Matsuo

RAGDP: Retrieve-Augmented Generative Diffusion Policy
Leave no observation behind: Real-time correction for vla action chunks
Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training
SPARK: Graph-Based Online Semantic Integration System for Robot Task Planning
Gendom: Generalizable one-shot deformable object manipulation with parameter-aware policy
Collective intelligence for 2d push manipulations with mobile robots
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
M3IL: Multi-Modal Meta-Imitation Learning
Weblab xArm dataset
大規模言語モデルを用いて意味的情報を考慮した物体把持位置の検出
Co-adaptation of algorithmic and implementational innovations in inference-based deep reinforcement learning
Deployment-efficient reinforcement learning via model-based offline optimization
Policy information capacity: Information-theoretic measure for task complexity in deep reinforcement learning
Tool as embodiment for recursive manipulation
Modeling task uncertainty for safe meta-imitation learning
Neuron as an agent

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