Interactively picking real-world objects with unconstrained spoken language instructions J Hatori*, Y Kikuchi*, S Kobayashi*, K Takahashi*, Y Tsuboi*, Y Unno*, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 3774-3781, 2018 | 197 | 2018 |
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images K Takahashi, J Tan 2019 IEEE/RSJ International Conference Robotics and Automation (ICRA2019), 2019 | 74 | 2019 |
Tool-body assimilation model considering grasping motion through deep learning K Takahashi, K Kim, T Ogata, S Sugano Robotics and Autonomous Systems 91, 115-127, 2017 | 51 | 2017 |
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data T Anzai*, K Takahashi* 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 40 | 2020 |
Dynamic Motion Learning for Multi-DOF Flexible-Joint Robots Using Active-Passive Motor Babbling through Deep Learning K Takahashi, T Ogata, J Nakanishi, G Cheng, S Sugano Advanced Robotics 31 (18), 1002-1015, 2017 | 28 | 2017 |
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods K Takahashi, W Ko, A Ummadisingu, S Maeda 2021 IEEE International Conference on International Conference on Robotics …, 2021 | 24 | 2021 |
Tool‐Body Assimilation Model Based on Body Babbling and Neurodynamical System K Takahashi, T Ogata, H Tjandra, Y Yamaguchi, S Sugano Mathematical Problems in Engineering 2015 (1), 837540, 2015 | 23 | 2015 |
Neural network based model for visual-motor integration learning of robot's drawing behavior: Association of a drawing motion from a drawn image K Sasaki, H Tjandra, K Noda, K Takahashi, T Ogata 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 22 | 2015 |
Map-based multi-policy reinforcement learning: enhancing adaptability of robots by deep reinforcement learning A Kume, E Matsumoto, K Takahashi, W Ko, J Tan arXiv preprint arXiv:1710.06117, 2017 | 21 | 2017 |
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection A Ummadisingu, K Takahashi, N Fukaya 2022 IEEE International Conference on International Conference on Robotics …, 2022 | 16 | 2022 |
Effective motion learning for a flexible-joint robot using motor babbling K Takahashi, T Ogata, H Yamada, H Tjandra, S Sugano 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 13 | 2015 |
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping K Takahashi, N Fukaya, A Ummadisingu IEEE Robotics and Automation Letters (RA-L) 7 (2), 1222-1229, 2022 | 12 | 2022 |
Sim-to-Real Transfer of Compliant Bipedal Locomotion on Torque Sensor-Less Gear-Driven Humanoid S Masuda, K Takahashi 2023 IEEE-RAS International Conference on Humanoid Robots (Humanoids 2023), 2023 | 8* | 2023 |
Learning-based Collision-free Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs T Ando, H Iino, H Mori, R Torishima, K Takahashi, S Yamaguchi, ... Advanced Robotics, 2023 | 5 | 2023 |
Machine learning for cognitive robotics T Ogata, K Takahashi, T Yamada, S Murata, K Sasaki | 5 | 2022 |
Invisible Marker: Automatic Annotation of Segmentation Masks for Object Manipulation K Takahashi*, K Yonekura* 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 5* | 2020 |
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images Y Wu, K Takahashi, H Yamada, K KIM, S Murata, S Sugano, T Ogata IEEE International Conference on Development and Learning and on Epigenetic …, 2018 | 5 | 2018 |
Tool-body assimilation model using a neuro-dynamical system for acquiring representation of tool function and motion K Takahshi, T Ogata, H Tjandra, Y Yamaguchi, Y Suga, S Sugano 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2014 | 5 | 2014 |
Collision-free Path Planning in the Latent Space through cGANs T Ando, H Mori, R Torishima, K Takahashi, S Yamaguchi, D Okanohara, ... arXiv preprint arXiv:2202.07203, 2022 | 4 | 2022 |
Tool-body assimilation model based on body babbling and a neuro-dynamical system for motion generation K Takahashi, T Ogata, H Tjandra, S Murata, H Arie, S Sugano Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 4 | 2014 |