Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning. - Namiko Saito; Kitae Kim; Shingo Murata; Tetsuya Ogata; Shigeki Sugano (Humanoids, 2018)

Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. - Namiko Saito; Kitae Kim; Shingo Murata; Tetsuya Ogata; Shigeki Sugano (ICDL-EPIROB, 2018)

A Life-linkage Services Platform Supporting Diverse Lifestyles based on Individual Demands. - Namiko Saito; Peizhi Zhang; Tamon Miyake; Shigeki Sugano; Kinji Mori (ISADS, 2019)

Real-time Liquid Pouring Motion Generation: End-to-End Sensorimotor Coordination for Unknown Liquid Dynamics Trained with Deep Neural Networks. - Namiko Saito; Nguyen Ba Dai; Tetsuya Ogata; Hiroki Mori; Shigeki Sugano (ROBIO, 2019)

Wiping 3D-objects using Deep Learning Model based on Image/Force/Joint Information. - Namiko Saito; Danyang Wang; Tetsuya Ogata; Hiroki Mori; Shigeki Sugano (IROS, 2020)

Development of a Lightweight Deformable Surface Mechanism (DSM) by Applying Shape-Memory Alloy (SMA) and the Sponge for Handling Objects. - Peizhi Zhang; Namiko Saito; Hiroki Shigemune; Shigeki Sugano (SMC, 2020)

Bayesian Estimation of Model Parameters of Equivalent Circuit Model for Detecting Degradation Parts of Lithium-Ion Battery. - Tamon Miyake; Tomoyuki Suzuki; Satoshi Funabashi; Namiko Saito; Mitsuhiro Kamezaki; Takahiro Shoda; Tsutomu Saigo; Shigeki Sugano (IEEE Access, 2021)

Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks. - Namiko Saito; Tetsuya Ogata; Hiroki Mori; Shingo Murata; Shigeki Sugano (Frontiers Robotics AI, 2021)

How to Select and Use Tools? : Active Perception of Target Objects Using Multimodal Deep Learning. - Namiko Saito; Tetsuya Ogata; Satoshi Funabashi; Hiroki Mori; Shigeki Sugano (IEEE Robotics Autom. Lett., 2021)

Utilization of Image/Force/Tactile Sensor Data for Object-Shape-Oriented Manipulation: Wiping Objects With Turning Back Motions and Occlusion. - Namiko Saito; Takumi Shimizu; Tetsuya Ogata; Shigeki Sugano (IEEE Robotics Autom. Lett., 2022)

Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation. - Namiko Saito; João Moura 003; Tetsuya Ogata; Marina Y. Aoyama; Shingo Murata; Shigeki Sugano; Sethu Vijayakumar (ICRA, 2023)

Innovation by Connecting People, Skill, and Value: A Community Platform for Collaborative Job Hunting. - Namiko Saito; Peizhi Zhang; Hiroaki Hayashi; Shigeki Sugano; Kinji Mori (ISADS, 2023)

Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot. - Namiko Saito; Mayu Hiramoto; Ayuna Kubo; Kanata Suzuki; Hiroshi Ito; Shigeki Sugano; Tetsuya Ogata (CoRR, 2023)

Explicit Contact Optimization in Whole-Body Contact-Rich Manipulation. - Victor Leve; João Moura 003; Namiko Saito; Steve Tonneau; Sethu Vijayakumar (Humanoids, 2024)

Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation. - Marina Y. Aoyama; João Moura 003; Namiko Saito; Sethu Vijayakumar (ICRA, 2024)

Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning. - Namiko Saito; João Moura 003; Hiroki Uchida; Sethu Vijayakumar (IROS, 2024)

Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism. - Tamon Miyake; Namiko Saito; Tetsuya Ogata; Yushi Wang; Shigeki Sugano (CoRR, 2024)

Autonomous scanning motion generation adapted to individual differences in abdominal shape for robotic fetal ultrasound. - Namiko Saito; Kiyoshi Yoshinaka; Shigeki Sugano; Ryosuke Tsumura (Adv. Robotics, 2024)