TM
Tatsuya Matsushima
cs.ROcs.AIcs.LGcs.CVcs.SYeess.SYstat.MLimitation learningmeta-learningrobot learning
On Valency
published · living versionsW_6uwgxvck·v1 · currentpublished
AIRoA-0: Long-Horizon, Precise, Cross-Embodiment Manipulation from Handheld Data
with Yueh-Hua Wu, Kei Ota, Hanlong Li, Hayata Yuasa +15
1 version
Preprints & journals
30 papers in the corpus · 2020–2026YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation2610.17521v1 · Hiroki Nishizawa, Takehiko Ohkawa, Nicola Scianca et al.2026 · 0 citationsarXiv
RoboPace: Contact-Aware Time-Optimal Retiming for Action-Chunk Policies2610.09696v1 · Mimo Shirasaka, Takehiko Ohkawa, Takuya Okubo et al.2026 · 0 citationsarXiv
YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding2610.09718v1 · Masatoshi Tateno, Takehiko Ohkawa, Yueh-Hua Wu et al.2026 · 0 citationsarXiv
PHASE: Compliance-Enabled Tactile Phase Retrieval for Few-Shot Insertion Learning2609.30889v1 · Jeremy Siburian, Cristian C. Beltran-Hernandez, Tatsuya Matsushima et al.2026 · 0 citationsarXiv
Improving Cross-embodiment Transfer in Latent Action Models with Action-Similarity Supervision2609.19846v1 · Maxime Alvarez, Renzo Caballero, Tatsuya Matsushima et al.2026 · 0 citationsarXiv
MINERVA: How Small Can a Manipulation Policy Be and Still Solve LIBERO?2609.03715v1 · Kohei Sendai, Tatsuya Matsushima, Yusuke Iwasawa2026 · 0 citationsarXiv
DREAM: Deployment-Time Demonstration Generation via Real-to-Sim for Scalable Policy Adaptation2608.29078v1 · Makoto Sato, Tatsuya Matsushima, Yutaka Matsuo et al.2026 · 0 citationsarXiv
Auditing Instruction-Trajectory Mismatches in Multimodal Robot Demonstrations2608.07895v1 · Simon Holk, Ryosuke Takanami, Tatsuya Matsushima et al.2026 · 0 citationsarXiv
FlexLAM: Resolving the Bottleneck Trade-off in Latent Action Learning2606.19408v1 · Takanori Yoshimoto, Yang Hu, Naruya Kondo et al.2026 · 0 citationsarXiv
YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale2606.10244v1 · Takehiko Ohkawa, Jumpei Arima, Yuki Noguchi et al.2026 · 0 citationsarXiv
See Less, Specify More: Visual Evidence Budgets for Generalizable VLAs2606.02735v2 · Yueh-Hua Wu, Tatsuya Matsushima, Kei Ota2026 · 0 citationsarXiv
Continuous Reasoning for Vision-Language-Action2606.00229v2 · Yueh-Hua Wu, Tatsuya Matsushima, Kei Ota2026 · 0 citationsarXiv
AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation2509.25032v1 · Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni et al.2025 · 0 citationsarXiv
Leave No Observation Behind: Real-time Correction for VLA Action Chunks2509.23224v1 · Kohei Sendai, Maxime Alvarez, Tatsuya Matsushima et al.2025 · 0 citationsarXiv
Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training2507.21452v1 · Sodtavilan Odonchimed, Tatsuya Matsushima, Simon Holk et al.2025 · 0 citationsarXiv
SPARK: Graph-Based Online Semantic Integration System for Robot Task Planning2506.20394v1 · Mimo Shirasaka, Yuya Ikeda, Tatsuya Matsushima et al.2025 · 0 citationsarXiv
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics2505.12583v2 · Takeshi Kojima, Yaonan Zhu, Yusuke Iwasawa et al.2025 · 3 citationsarXiv
Real-World Robot Applications of Foundation Models: A Review2402.05741v2 · Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella et al.2024 · 75 citationsarXiv
Open X-Embodiment: Robotic Learning Datasets and RT-X Models2310.08864v9 · Abby O'Neill, Abdul Rehman, Abhinav Gupta et al.2023 · 111 citationsarXiv
TRAIL Team Description Paper for RoboCup@Home 20232310.03913v1 · Chikaha Tsuji, Dai Komukai, Mimo Shirasaka et al.2023 · 1 citationarXiv
Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery2309.14425v2 · Mimo Shirasaka, Tatsuya Matsushima, Soshi Tsunashima et al.2023 · 11 citationsarXiv
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy2309.09051v4 · So Kuroki, Jiaxian Guo, Tatsuya Matsushima et al.2023 · 3 citationsarXiv
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy2306.09872v3 · So Kuroki, Jiaxian Guo, Tatsuya Matsushima et al.2023 · 0 citationsarXiv
Collective Intelligence for 2D Push Manipulations with Mobile Robots2211.15136v4 · So Kuroki, Tatsuya Matsushima, Jumpei Arima et al.2022 · 4 citationsarXiv
World Robot Challenge 2020 -- Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator2207.10106v2 · Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima et al.2022 · 13 citationsarXiv
Tool as Embodiment for Recursive Manipulation2112.00359v1 · Yuki Noguchi, Tatsuya Matsushima, Yutaka Matsuo et al.2021 · 2 citationsarXiv
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning2103.17258v3 · Hiroki Furuta, Tadashi Kozuno, Tatsuya Matsushima et al.2021 · 1 citationarXiv
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning2103.12726v2 · Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno et al.2021 · 6 citationsarXiv
Modeling Task Uncertainty for Safe Meta-Imitation Learning.33501364 · Matsushima, Tatsuya, Kondo, Naruya, Iwasawa, Yusuke et al.2024 · 3 citationsFrontiers in robotics and AI. 2020;7:606361
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization2006.03647v2 · Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo et al.2020 · 57 citationsarXiv
Career total: 46 works. 30 are in this corpus.
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