activity
20202026
most citedForeground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation

9 citations · 27 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation

Hiroki Nishizawa, Takehiko Ohkawa, Nicola Scianca +3

Evaluating VLA policies on real robots is costly, time-consuming, and difficult to reproduce, making real-to-sim simulation essential for scalable evaluation. While 3D Gaussian Spl…

cs.RO2026

YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding

Masatoshi Tateno, Takehiko Ohkawa, Yueh-Hua Wu +4

Vision-Language-Action (VLA) models acquire broad manipulation capabilities via large-scale pretraining, yet eliciting them through language requires fine-grained alignment between…

cs.RO2026

RoboPace: Contact-Aware Time-Optimal Retiming for Action-Chunk Policies

Mimo Shirasaka, Takehiko Ohkawa, Takuya Okubo +3

Robot manipulation data collection has been shifting from teleoperation toward robot-free demonstrations, through interfaces such as the Universal Manipulation Interface (UMI) or d…

cs.RO2026

SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation

Nie Lin, Takehiko Ohkawa, Sijin Chen +10

Recent years have witnessed an explosive trend of scaling ego-centric human videos for robot manipulation, yet it remains unclear which data actually benefits dexterous manipulatio…

cs.RO2026

YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale

Takehiko Ohkawa, Jumpei Arima, Yuki Noguchi +16

We introduce Yielding Universal Bidigital Interface (YUBI), a finger-aligned gripper designed to enable intuitive, ergonomic, and scalable data collection for bimanual dexterous ma…