Namiko Saito

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Deformable Surface

Bayesian Estimation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Namiko Saito, Kiyoshi Yoshinaka, Shigeki Sugano, Ryosuke Tsumura
Autonomous scanning motion generation adapted to individual differences in abdominal shape for robotic fetal ultrasound. Adv. Robotics 38 (3) (2024)
Tamon Miyake, Namiko Saito, Tetsuya Ogata, Yushi Wang, Shigeki Sugano
Dual-arm Motion Generation for Repositioning Care based on Deep Predictive Learning with Somatosensory Attention Mechanism. CoRR (2024)
Marina Y. Aoyama, João Moura, Namiko Saito, Sethu Vijayakumar
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation. ICRA (2024)
Namiko Saito, João Moura, Hiroki Uchida, Sethu Vijayakumar
Latent Object Characteristics Recognition with Visual to Haptic-Audio Cross-modal Transfer Learning. CoRR (2024)
Marina Y. Aoyama, João Moura, Namiko Saito, Sethu Vijayakumar
Few-Shot Learning of Force-Based Motions From Demonstration Through Pre-training of Haptic Representation. CoRR (2023)
Namiko Saito, Mayu Hiramoto, Ayuna Kubo, Kanata Suzuki, Hiroshi Ito, Shigeki Sugano, Tetsuya Ogata
Realtime Motion Generation with Active Perception Using Attention Mechanism for Cooking Robot. CoRR (2023)
Namiko Saito, João Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation. ICRA (2023)
Namiko Saito, Peizhi Zhang, Hiroaki Hayashi, Shigeki Sugano, Kinji Mori
Innovation by Connecting People, Skill, and Value: A Community Platform for Collaborative Job Hunting. ISADS (2023)
Namiko Saito, Takumi Shimizu, Tetsuya Ogata, Shigeki Sugano
Utilization of Image/Force/Tactile Sensor Data for Object-Shape-Oriented Manipulation: Wiping Objects With Turning Back Motions and Occlusion. IEEE Robotics Autom. Lett. 7 (2) (2022)
Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano
How to Select and Use Tools? : Active Perception of Target Objects Using Multimodal Deep Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Tamon Miyake, Tomoyuki Suzuki, Satoshi Funabashi, Namiko Saito, Mitsuhiro Kamezaki, Takahiro Shoda, Tsutomu Saigo, Shigeki Sugano
Bayesian Estimation of Model Parameters of Equivalent Circuit Model for Detecting Degradation Parts of Lithium-Ion Battery. IEEE Access 9 (2021)
Namiko Saito, Tetsuya Ogata, Satoshi Funabashi, Hiroki Mori, Shigeki Sugano
How to select and use tools? : Active Perception of Target Objects Using Multimodal Deep Learning. CoRR (2021)
Namiko Saito, Tetsuya Ogata, Hiroki Mori, Shingo Murata, Shigeki Sugano
Tool-Use Model to Reproduce the Goal Situations Considering Relationship Among Tools, Objects, Actions and Effects Using Multimodal Deep Neural Networks. Frontiers Robotics AI 8 (2021)
Namiko Saito, Danyang Wang, Tetsuya Ogata, Hiroki Mori, Shigeki Sugano
Wiping 3D-objects using Deep Learning Model based on Image/Force/Joint Information. IROS (2020)
Peizhi Zhang, Namiko Saito, Hiroki Shigemune, Shigeki Sugano
Development of a Lightweight Deformable Surface Mechanism (DSM) by Applying Shape-Memory Alloy (SMA) and the Sponge for Handling Objects. SMC (2020)
Namiko Saito, Nguyen Ba Dai, Tetsuya Ogata, Hiroki Mori, Shigeki Sugano
Real-time Liquid Pouring Motion Generation: End-to-End Sensorimotor Coordination for Unknown Liquid Dynamics Trained with Deep Neural Networks. ROBIO (2019)
Namiko Saito, Peizhi Zhang, Tamon Miyake, Shigeki Sugano, Kinji Mori
A Life-linkage Services Platform Supporting Diverse Lifestyles based on Individual Demands. ISADS (2019)
Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
Tool-Use Model Considering Tool Selection by a Robot Using Deep Learning. Humanoids (2018)
Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. ICDL-EPIROB (2018)
Namiko Saito, Kitae Kim, Shingo Murata, Tetsuya Ogata, Shigeki Sugano
Detecting Features of Tools, Objects, and Actions from Effects in a Robot using Deep Learning. CoRR (2018)