From Humanoid Embodiment to Theory of Mind. - Yasuo Kuniyoshi; Yasuaki Yorozu; Yoshiyuki Ohmura; Koji Terada; Takuya Otani; Akihiko Nagakubo; Tomoyuki Yamamoto (Embodied Artificial Intelligence, 2003)

Analysis and control of whole body dynamic humanoid motion - towards experiments on a roll-and-rise motion. - Koji Terada; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2003)

Exploiting the Global Dynamics Structure of Whole-Body Humanoid Motion - Getting the "Knack" of Roll-and-Rise Motion. - Yasuo Kuniyoshi; Yoshiyuki Ohmura; Koji Terada; Tomoyuki Yamamoto; Akihiko Nagakubo (ISRR, 2003)

Dynamic Roll-and-Rise Motion by an Adult-Size Humanoid Robot. - Yasuo Kuniyoshi; Yoshiyuki Ohmura; Koji Terada; Akihiko Nagakubo (Int. J. Humanoid Robotics, 2004)

Embodied basis of invariant features in execution and perception of whole-body dynamic actions - knacks and focuses of Roll-and-Rise motion. - Yasuo Kuniyoshi; Yoshiyuki Ohmura; Koji Terada; Akihiko Nagakubo; Shin'ichiro Eitoku; Tomoyuki Yamamoto (Robotics Auton. Syst., 2004)

Conformable and Scalable Tactile Sensor Skin for Curved Surfaces. - Yoshiyuki Ohmura; Yasuo Kuniyoshi; Akihiko Nagakubo (ICRA, 2006)

Humanoid robot which can lift a 30kg box by whole body contact and tactile feedback. - Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2007)

Whole Body Haptics for Augmented Humanoid Task Capabilities. - Yasuo Kuniyoshi; Yoshiyuki Ohmura; Akihiko Nagakubo (ISRR, 2007)

Wearable motion capture suit with full-body tactile sensors. - Yuki Fujimori; Yoshiyuki Ohmura; Tatsuya Harada; Yasuo Kuniyoshi (ICRA, 2009)

Analyzing the "knack" of human piggyback motion based on simultaneous measurement of tactile and movement data as a basis for humanoid control. - Kunihiro Ogata; Daisuke Shiramatsu; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2009)

High-density conformable tactile sensing glove. - Takashi Sagisaka; Yoshiyuki Ohmura; Yasuo Kuniyoshi; Akihiko Nagakubo; Kazuyuki Ozaki (Humanoids, 2011)

Development and Applications of High-Density Tactile Sensing Glove. - Takashi Sagisaka; Yoshiyuki Ohmura; Akihiko Nagakubo; Kazuyuki Ozaki; Yasuo Kuniyoshi (EuroHaptics (1), 2012)

Generating an image of an object's appearance from somatosensory information during haptic exploration. - Kento Sekiya; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2019)

Identifying Critical States by the Action-Based Variance of Expected Return. - Izumi Karino; Yoshiyuki Ohmura; Yasuo Kuniyoshi (ICANN (1), 2020)

Using Human Gaze to Improve Robustness Against Irrelevant Objects in Robot Manipulation Tasks. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IEEE Robotics Autom. Lett., 2020)

Unsupervised Learning of Shape-invariant Lie Group Transformer by Embedding Ordinary Differential Equation. - Takumi Takada; Yoshiyuki Ohmura; Yasuo Kuniyoshi (ICDL, 2021)

Transformer-based deep imitation learning for dual-arm robot manipulation. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2021)

Unsupervised Temporal Segmentation Using Models That Discriminate Between Demonstrations and Unintentional Actions. - Takayuki Komatsu; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2021)

Third-party Evaluation of Robotic Hand Designs Using a Mechanical Glove. - Takayuki Kanai; Yoshiyuki Ohmura; Akihiko Nagakubo; Yasuo Kuniyoshi (CoRR, 2021)

Gaze-Based Dual Resolution Deep Imitation Learning for High-Precision Dexterous Robot Manipulation. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IEEE Robotics Autom. Lett., 2021)

Disentangling Patterns and Transformations from One Sequence of Images with Shape-invariant Lie Group Transformer. - Takumi Takada; Wataru Shimaya; Yoshiyuki Ohmura; Yasuo Kuniyoshi (ICDL, 2022)

Memory-based gaze prediction in deep imitation learning for robot manipulation. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (ICRA, 2022)

Using human gaze in few-shot imitation learning for robot manipulation. - Shogo Hamano; Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2022)

Robot peels banana with goal-conditioned dual-action deep imitation learning. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (CoRR, 2022)

Simulating Early Childhood Drawing Behaviors under Physical Constraints Using Reinforcement Learning. - Yoshia Abe; Yoshiyuki Ohmura; Shogo Yonekura; Hoshinori Kanazawa; Yasuo Kuniyoshi (ICDL, 2023)

Unsupervised Judgment of Properties Based on Transformation Recognition. - Ryo Takatsuki; Yoshiyuki Ohmura; Yasuo Kuniyoshi (ICDL, 2023)

Training Robots Without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer. - Heecheol Kim 002; Yoshiyuki Ohmura; Akihiko Nagakubo; Yasuo Kuniyoshi (IEEE Robotics Autom. Lett., 2023)

Ablation Study to Clarify the Mechanism of Object Segmentation in Multi-Object Representation Learning. - Takayuki Komatsu; Yoshiyuki Ohmura; Yasuo Kuniyoshi (ICDL, 2024)

Multi-task real-robot data with gaze attention for dual-arm fine manipulation. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IROS, 2024)

Multi-task robot data for dual-arm fine manipulation. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (CoRR, 2024)

Goal-Conditioned Dual-Action Imitation Learning for Dexterous Dual-Arm Robot Manipulation. - Heecheol Kim 002; Yoshiyuki Ohmura; Yasuo Kuniyoshi (IEEE Trans. Robotics, 2024)

Gaze-based Task Decomposition for Robot Manipulation in Imitation Learning. - Ryo Takizawa; Yoshiyuki Ohmura; Yasuo Kuniyoshi (CoRR, 2025)

Unsupervised categorization of similarity measures. - Yoshiyuki Ohmura; Wataru Shimaya; Yasuo Kuniyoshi (CoRR, 2025)

Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze and Bottleneck. - Ryo Takizawa; Izumi Karino; Koki Nakagawa; Yoshiyuki Ohmura; Yasuo Kuniyoshi (CoRR, 2025)

Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory. - Kayato Nishitsunoi; Yoshiyuki Ohmura; Takayuki Komatsu; Yasuo Kuniyoshi (CoRR, 2025)

Feature-Based Lie Group Transformer for Real-World Applications. - Takayuki Komatsu; Yoshiyuki Ohmura; Kayato Nishitsunoi; Yasuo Kuniyoshi (CoRR, 2025)

Imitation Learning for Active Neck Motion Enabling Robot Manipulation beyond the Field of View. - Koki Nakagawa; Yoshiyuki Ohmura; Yasuo Kuniyoshi (CoRR, 2025)