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ORCIDKuniyuki Takahashi
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2020 – today
- 2024
[i17]Kuniyuki Takahashi, Shimpei Masuda, Tadahiro Taniguchi:
Stable Object Placing using Curl and Diff Features of Vision-based Tactile Sensors. CoRR abs/2403.19129 (2024)- [i16]Avinash Ummadisingu, Jongkeum Choi, Koki Yamane, Shimpei Masuda, Naoki Fukaya, Kuniyuki Takahashi:
SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects. CoRR abs/2403.19607 (2024) - [i15]Naoki Fukaya, Koki Yamane, Shimpei Masuda, Avinash Ummadisingu, Shin-ichi Maeda, Kuniyuki Takahashi:
Four-Axis Adaptive Fingers Hand for Object Insertion: FAAF Hand. CoRR abs/2407.21245 (2024) - 2023
- [j5]Tomoki Ando
, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Learning-based collision-free planning on arbitrary optimization criteria in the latent space through cGANs. Adv. Robotics 37(10): 621-633 (2023) - [c18]Shimpei Masuda, Kuniyuki Takahashi:
Sim-to-Real Transfer of Compliant Bipedal Locomotion on Torque Sensor-Less Gear-Driven Humanoid. Humanoids 2023: 1-8 - [c17]Kuniyuki Takahashi, Tadahiro Taniguchi:
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization. ICRA 2023: 5858-5864 - [c16]Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda:
Two-Fingered Hand with Gear-Type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand. IROS 2023: 4525-4532 - [i14]Kuniyuki Takahashi, Tadahiro Taniguchi:
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization. CoRR abs/2301.11538 (2023) - [i13]Naoki Fukaya, Avinash Ummadisingu, Kuniyuki Takahashi, Guilherme Maeda, Shin-ichi Maeda:
Two-fingered Hand with Gear-type Synchronization Mechanism with Magnet for Improved Small and Offset Objects Grasping: F2 Hand. CoRR abs/2309.08312 (2023) - [i12]Sameer Pai, Kuniyuki Takahashi, Shimpei Masuda, Naoki Fukaya, Koki Yamane, Avinash Ummadisingu:
Laboratory Automation: Precision Insertion with Adaptive Fingers utilizing Contact through Sliding with Tactile-based Pose Estimation. CoRR abs/2309.16170 (2023) - 2022
- [j4]Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu:
Target-Mass Grasping of Entangled Food Using Pre-Grasping & Post-Grasping. IEEE Robotics Autom. Lett. 7(2): 1222-1229 (2022) - [c15]Avinash Ummadisingu, Kuniyuki Takahashi, Naoki Fukaya:
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection. ICRA 2022: 8290-8297 - [i11]Kuniyuki Takahashi, Naoki Fukaya, Avinash Ummadisingu:
Target-mass Grasping of Entangled Food using Pre-grasping & Post-grasping. CoRR abs/2201.00933 (2022) - [i10]Tomoki Ando, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Collision-free Path Planning in the Latent Space through cGANs. CoRR abs/2202.07203 (2022) - [i9]Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata:
Collision-free Path Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs. CoRR abs/2202.13062 (2022) - [i8]Avinash Ummadisingu, Kuniyuki Takahashi, Naoki Fukaya:
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection. CoRR abs/2203.05187 (2022) - [i7]Shimpei Masuda, Kuniyuki Takahashi:
Sim-to-Real Learning of Robust Compliant Bipedal Locomotion on Torque Sensor-Less Gear-Driven Humanoid. CoRR abs/2204.03897 (2022) - 2021
- [c14]Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda:
Uncertainty-aware Self-supervised Target-mass Grasping of Granular Foods. ICRA 2021: 2620-2626 - [i6]Kuniyuki Takahashi, Wilson Ko, Avinash Ummadisingu, Shin-ichi Maeda:
Uncertainty-Aware Self-Supervised Target-Mass Grasping of Granular Foods. CoRR abs/2105.12946 (2021) - 2020
- [c13]Kuniyuki Takahashi, Jethro Tan:
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract). IJCAI 2020: 4780-4784 - [c12]Kuniyuki Takahashi, Kenta Yonekura:
Invisible Marker: Automatic Annotation of Segmentation Masks for Object Manipulation. IROS 2020: 8431-8438 - [c11]Tomoki Anzai, Kuniyuki Takahashi:
Deep Gated Multi-modal Learning: In-hand Object Pose Changes Estimation using Tactile and Image Data. IROS 2020: 9361-9368
2010 – 2019
- 2019
- [c10]Kuniyuki Takahashi, Jethro Tan:
Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images. ICRA 2019: 8951-8957 - [i5]Kuniyuki Takahashi, Kenta Yonekura:
Invisible Marker: Automatic Annotation for Object Manipulation. CoRR abs/1909.12493 (2019) - [i4]Tomoki Anzai, Kuniyuki Takahashi:
Deep Gated Multi-modal Learning: In-hand Object Pose Estimation with Tactile and Image. CoRR abs/1909.12494 (2019) - 2018
- [j3]Chyon Hae Kim, Shohei Hama, Ryo Hirai, Kuniyuki Takahashi, Hiroki Yamada, Tetsuya Ogata, Shigeki Sugano:
Effective input order of dynamics learning tree. Adv. Robotics 32(3): 122-136 (2018) - [c9]Yuheng Wu, Kuniyuki Takahashi, Hiroki Yamada, Kitae Kim, Shingo Murata, Shigeki Sugano, Tetsuya Ogata:
Dynamic Motion Generation by Flexible-Joint Robot based on Deep Learning using Images. ICDL-EPIROB 2018: 169-174 - [c8]Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan:
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions. ICRA 2018: 3774-3781 - [i3]Kuniyuki Takahashi, Jethro Tan:
Deep Visuo-Tactile Learning: Estimation of Material Properties from Images. CoRR abs/1803.03435 (2018) - 2017
- [j2]Kuniyuki Takahashi, Tetsuya Ogata, Jun Nakanishi, Gordon Cheng, Shigeki Sugano:
Dynamic motion learning for multi-DOF flexible-joint robots using active-passive motor babbling through deep learning. Adv. Robotics 31(18): 1002-1015 (2017) - [j1]Kuniyuki Takahashi, Kitae Kim, Tetsuya Ogata, Shigeki Sugano:
Tool-body assimilation model considering grasping motion through deep learning. Robotics Auton. Syst. 91: 115-127 (2017) - [i2]Ayaka Kume, Eiichi Matsumoto, Kuniyuki Takahashi, Wilson Ko, Jethro Tan:
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning. CoRR abs/1710.06117 (2017) - [i1]Jun Hatori, Yuta Kikuchi, Sosuke Kobayashi, Kuniyuki Takahashi, Yuta Tsuboi, Yuya Unno, Wilson Ko, Jethro Tan:
Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions. CoRR abs/1710.06280 (2017) - 2016
- [c7]Kuniyuki Takahashi, Hadi Tjandra, Tetsuya Ogata, Shigeki Sugano:
Body Model Transition by Tool Grasping During Motor Babbling Using Deep Learning and RNN. ICANN (1) 2016: 166-174 - 2015
- [c6]Kuniyuki Takahashi, Kanata Suzuki, Tetsuya Ogata, Hadi Tjandra, Shigeki Sugano:
Efficient Motor Babbling Using Variance Predictions from a Recurrent Neural Network. ICONIP (3) 2015: 26-33 - [c5]Kuniyuki Takahashi, Tetsuya Ogata, Hiroki Yamada, Hadi Tjandra, Shigeki Sugano:
Effective motion learning for a flexible-joint robot using motor babbling. IROS 2015: 2723-2728 - [c4]Kazuma Sasaki, Hadi Tjandra, Kuniaki Noda, Kuniyuki Takahashi, Tetsuya Ogata:
Neural network based model for visual-motor integration learning of robot's drawing behavior: Association of a drawing motion from a drawn image. IROS 2015: 2736-2741 - 2014
- [c3]Kuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Yuki Yamaguchi, Yuki Suga, Shigeki Sugano:
Tool-body assimilation model using a neuro-dynamical system for acquiring representation of tool function and motion. AIM 2014: 1255-1260 - [c2]Kuniyuki Takahashi, Tetsuya Ogata, Hadi Tjandra, Shingo Murata, Hiroaki Arie, Shigeki Sugano:
Tool-Body Assimilation Model Based on Body Babbling and a Neuro-Dynamical System for Motion Generation. ICANN 2014: 363-370 - 2011
- [c1]Taisuke Sugaiwa, Kuniyuki Takahashi, Hiroyuki Kano, Hiroyasu Iwata, Shigeki Sugano:
Handling and grasp control with additional grasping point for dexterous manipulation of cylindrical tool. ROBIO 2011: 733-738
Coauthor Index
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