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Tomohiro Motoda

Bimanual Shelf Picking Planner Based on Collapse Prediction
2021 · Tomohiro Motoda, Damien Petit, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 17
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YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
2026 · Ohkawa, Takehiko, Arima, Jumpei, et al. · arXiv (Cornell University) · 15
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Shelf Replenishment Based on Object Arrangement Detection and Collapse Prediction for Bimanual Manipulation
2022 · Tomohiro Motoda, Damien Petit, et al. · Robotics · 14
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Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision
2025 · Oh, Hanbit, Murooka, Masaki, et al. · arXiv (Cornell University) · 6
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AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
2025 · Takanami, Ryosuke, Khrapchenkov, Petr, et al. · arXiv (Cornell University) · 4
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Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT
2025 · Muhammad A. Muttaqien, Tomohiro Motoda, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 4
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Learning Bimanual Manipulation via Action Chunking and Inter-Arm Coordination with Transformers
2025 · Tomohiro Motoda, Ryo Hanai, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 4
Multi-Step Object Extraction Planning From Clutter Based on Support Relations
2023 · Tomohiro Motoda, Damien Petit, et al. · IEEE Access · 4
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The Embodiment Gap in Robot Foundation Models
2026 · Domae, Yukiyasu, Shirai, Keisuke, et al. · arXiv (Cornell University) · 3
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Motion Planning to Retrieve an Object from Random Pile
2022 · Shusei Nagato, Tomohiro Motoda, et al. · Proceedings of International Conference on Artificial Life and Robotics · 3
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Peg-in-Bench: A Modular Benchmark for High-Precision Robotic Insertion
2026 · Delgado, Yosel, Buenaventura-Carreón, José G., et al. · arXiv (Cornell University) · 2
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GuidedAttention: Interpretable and Correctable Visual Attention for OOD-Robust Robot Manipulation via Imitation Learning
2026 · Murooka, Masaki, Nakajo, Ryoichi, et al. · arXiv (Cornell University) · 2
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Self-augmented robot trajectory: efficient imitation learning via safe self-augmentation with demonstrator-annotated precision
2026 · Hanbit Oh, Masaki Murooka, et al. · Advanced Robotics · 2
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Recipe for Vision-Language-Action Models in Robotic Manipulation: A Survey
2025 · Tomohiro Motoda, Koshi Makihara, et al. · 2
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SuctionPrompt: Visual-Assisted Robotic Picking with a Suction Cup Using Vision-Language Models and Facile Hardware Design
2025 · Tomohiro Motoda, Takahide Kitamura, et al. · Journal of Robotics and Mechatronics · 2
Attention-Guided Integration of CLIP and SAM for Precise Object Masking in Robotic Manipulation
2025 · Muhammad A. Muttaqien, Tomohiro Motoda, et al. · IEEE/SICE International Symposium on System Integration (SII) · 2
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Probabilistic Action/Observation Planning for Playing Yamakuzushi
2020 · Tomohiro Motoda, Weiwei Wan, et al. · IEEE/SICE International Symposium on System Integration (SII) · 2
ORPA: Online Residual Policy Adaptation for Robot Manipulation Control with Human Feedback
2026 · Muttaqien, Muhammad A., Motoda, Tomohiro, et al. · arXiv (Cornell University) · 1
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Foundation Models need to be culturally fine-tuned
2025 · Jose Alfredo Garcia Alvarado, Floris Erich, et al. · IEEE/SICE International Symposium on System Integration (SII) · 1
Probabilistic Slide-support Manipulation Planning in Clutter
2023 · Shusei Nagato, Tomohiro Motoda, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 1
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Robotic action/observation planning for playing yamakuzushi based on human motion
2020 · Tomohiro MOTODA, Weiwei WAN, et al. · Transactions of the JSME (in Japanese) · 1
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Vortex-Induced Torque in Grasping Soft Objects: Influence of Geometry and Pneumatic Parameters
2026 · Mykhailyshyn, Roman, Motoda, Tomohiro, et al. · arXiv (Cornell University)
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Evaluating Tactile Foundation Models for End-to-End Imitation Learning in Contact-Rich Manipulation
2026 · Murooka, Masaki, Nakajo, Ryoichi, et al. · arXiv (Cornell University)
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TOAST: Stochastic Robot Action Tokenization for Autoregressive Vision-Language-Action Models
2026 · Shirai, Keisuke, Motoda, Tomohiro, et al. · arXiv (Cornell University)
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Self-Supervised Anchoring of Fingertip Sensing to Proprioception and Proactive Actions for Robot Imitation Learning
2026 · Motoda, Tomohiro, Murooka, Masaki, et al. · arXiv (Cornell University)
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Works count: 39
Citation count: 99
H-index: 5
I10-index: 3
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