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ORCIDYoshiyuki Ohmura
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2020 – today
- 2024
[j6]Heecheol Kim
, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Goal-Conditioned Dual-Action Imitation Learning for Dexterous Dual-Arm Robot Manipulation. IEEE Trans. Robotics 40: 2287-2305 (2024)- [c22]Takayuki Komatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning. ICDL 2024: 1-7 - [c21]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Multi-task real-robot data with gaze attention for dual-arm fine manipulation. IROS 2024: 8516-8523 - [i10]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Multi-task robot data for dual-arm fine manipulation. CoRR abs/2401.07603 (2024) - 2023
- [j5]Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi:
Training Robots Without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer. IEEE Robotics Autom. Lett. 8(5): 2906-2913 (2023) - [c20]Yoshia Abe, Yoshiyuki Ohmura, Shogo Yonekura, Hoshinori Kanazawa, Yasuo Kuniyoshi:
Simulating Early Childhood Drawing Behaviors under Physical Constraints Using Reinforcement Learning. ICDL 2023: 156-163 - [c19]Ryo Takatsuki, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Unsupervised Judgment of Properties Based on Transformation Recognition. ICDL 2023: 409-414 - [i9]Takayuki Komatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning. CoRR abs/2310.03273 (2023) - 2022
- [c18]Takumi Takada, Wataru Shimaya, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Disentangling Patterns and Transformations from One Sequence of Images with Shape-invariant Lie Group Transformer. ICDL 2022: 54-59 - [c17]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Memory-based gaze prediction in deep imitation learning for robot manipulation. ICRA 2022: 2427-2433 - [c16]Shogo Hamano, Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Using human gaze in few-shot imitation learning for robot manipulation. IROS 2022: 8622-8629 - [i8]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Memory-based gaze prediction in deep imitation learning for robot manipulation. CoRR abs/2202.04877 (2022) - [i7]Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi:
Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer. CoRR abs/2202.09574 (2022) - [i6]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Robot peels banana with goal-conditioned dual-action deep imitation learning. CoRR abs/2203.09749 (2022) - [i5]Takumi Takada, Wataru Shimaya, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Disentangling Patterns and Transformations from One Sequence of Images with Shape-invariant Lie Group Transformer. CoRR abs/2203.11210 (2022) - 2021
- [j4]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Gaze-Based Dual Resolution Deep Imitation Learning for High-Precision Dexterous Robot Manipulation. IEEE Robotics Autom. Lett. 6(2): 1630-1637 (2021) - [c15]Takumi Takada, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Unsupervised Learning of Shape-invariant Lie Group Transformer by Embedding Ordinary Differential Equation. ICDL 2021: 1-6 - [c14]Takayuki Komatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Unsupervised Temporal Segmentation Using Models That Discriminate Between Demonstrations and Unintentional Actions. IROS 2021: 8951-8956 - [c13]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Transformer-based deep imitation learning for dual-arm robot manipulation. IROS 2021: 8965-8972 - [i4]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation. CoRR abs/2102.01295 (2021) - [i3]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Transformer-based deep imitation learning for dual-arm robot manipulation. CoRR abs/2108.00385 (2021) - [i2]Takayuki Kanai, Yoshiyuki Ohmura, Akihiko Nagakubo, Yasuo Kuniyoshi:
Third-party Evaluation of Robotic Hand Designs Using a Mechanical Glove. CoRR abs/2109.10501 (2021) - 2020
- [j3]Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Using Human Gaze to Improve Robustness Against Irrelevant Objects in Robot Manipulation Tasks. IEEE Robotics Autom. Lett. 5(3): 4415-4422 (2020) - [c12]Izumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Identifying Critical States by the Action-Based Variance of Expected Return. ICANN (1) 2020: 366-378 - [i1]Izumi Karino, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Identifying Critical States by the Action-Based Variance of Expected Return. CoRR abs/2008.11332 (2020)
2010 – 2019
- 2019
- [c11]Kento Sekiya, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Generating an image of an object's appearance from somatosensory information during haptic exploration. IROS 2019: 8138-8143 - 2012
- [c10]Takashi Sagisaka, Yoshiyuki Ohmura, Akihiko Nagakubo, Kazuyuki Ozaki, Yasuo Kuniyoshi:
Development and Applications of High-Density Tactile Sensing Glove. EuroHaptics (1) 2012: 445-456 - 2011
- [c9]Takashi Sagisaka, Yoshiyuki Ohmura, Yasuo Kuniyoshi, Akihiko Nagakubo, Kazuyuki Ozaki:
High-density conformable tactile sensing glove. Humanoids 2011: 537-542
2000 – 2009
- 2009
- [c8]Yuki Fujimori, Yoshiyuki Ohmura, Tatsuya Harada, Yasuo Kuniyoshi:
Wearable motion capture suit with full-body tactile sensors. ICRA 2009: 3186-3193 - [c7]Kunihiro Ogata, Daisuke Shiramatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Analyzing the "knack" of human piggyback motion based on simultaneous measurement of tactile and movement data as a basis for humanoid control. IROS 2009: 2531-2536 - 2007
- [c6]Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Humanoid robot which can lift a 30kg box by whole body contact and tactile feedback. IROS 2007: 1136-1141 - [c5]Yasuo Kuniyoshi, Yoshiyuki Ohmura, Akihiko Nagakubo:
Whole Body Haptics for Augmented Humanoid Task Capabilities. ISRR 2007: 61-73 - 2006
- [c4]Yoshiyuki Ohmura, Yasuo Kuniyoshi, Akihiko Nagakubo:
Conformable and Scalable Tactile Sensor Skin for Curved Surfaces. ICRA 2006: 1348-1353 - 2004
- [j2]Yasuo Kuniyoshi, Yoshiyuki Ohmura, Koji Terada, Akihiko Nagakubo:
Dynamic Roll-and-Rise Motion by an Adult-Size Humanoid Robot. Int. J. Humanoid Robotics 1(3): 497-516 (2004) - [j1]Yasuo Kuniyoshi, Yoshiyuki Ohmura, Koji Terada, Akihiko Nagakubo, Shin'ichiro Eitoku, Tomoyuki Yamamoto:
Embodied basis of invariant features in execution and perception of whole-body dynamic actions - knacks and focuses of Roll-and-Rise motion. Robotics Auton. Syst. 48(4): 189-201 (2004) - 2003
- [c3]Yasuo Kuniyoshi, Yasuaki Yorozu, Yoshiyuki Ohmura, Koji Terada, Takuya Otani, Akihiko Nagakubo, Tomoyuki Yamamoto:
From Humanoid Embodiment to Theory of Mind. Embodied Artificial Intelligence 2003: 202-218 - [c2]Koji Terada, Yoshiyuki Ohmura, Yasuo Kuniyoshi:
Analysis and control of whole body dynamic humanoid motion - towards experiments on a roll-and-rise motion. IROS 2003: 1382-1387 - [c1]Yasuo Kuniyoshi, Yoshiyuki Ohmura, Koji Terada, Tomoyuki Yamamoto, Akihiko Nagakubo:
Exploiting the Global Dynamics Structure of Whole-Body Humanoid Motion - Getting the "Knack" of Roll-and-Rise Motion. ISRR 2003: 385-394
Coauthor Index
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