Takuya Kiyokawa
Takuya Kiyokawa
Osaka University & Nara Institute of Science and Technology
Verified email at hlab.sys.es.osaka-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
A learning-from-observation framework: One-shot robot teaching for grasp-manipulation-release household operations
N Wake, R Arakawa, I Yanokura, T Kiyokawa, K Sasabuchi, J Takamatsu, ...
2021 IEEE/SICE International Symposium on System Integration (SII), 461-466, 2021
62021
Fully automated annotation with noise-masked visual markers for deep-learning-based object detection
T Kiyokawa, K Tomochika, J Takamatsu, T Ogasawara
IEEE Robotics and Automation Letters 4 (2), 1972-1977, 2019
52019
3D model-based assembly sequence optimization using insertionable properties of parts
K Tariki, T Kiyokawa, GAG Ricardez, J Takamatsu, T Ogasawara
2020 IEEE/SICE International Symposium on System Integration (SII), 1400-1405, 2020
42020
3D model-based non-interference assembly sequence generation for products with a large number of parts
K Tariki, T Kiyokawa, T Nagatani, J Takamatsu, T Ogasawara
2019 IEEE International Conference on Cybernetics and Intelligent Systems …, 2019
42019
Estimation of kinematics parameters dependent on pronation supination for modeling forearm skeletal system based on CT images
T Kiyokawa, K Nojiri, H Ohtsuka, Y Okayama
2015 IEEE/SICE International Symposium on System Integration (SII), 422-427, 2015
22015
Efficient collection and automatic annotation of real-world object images by taking advantage of post-diminished multiple visual markers
T Kiyokawa, K Tomochika, J Takamatsu, T Ogasawara
Advanced Robotics 33 (24), 1264-1280, 2019
12019
Generation of a tactile-based pouring motion using fingertip force sensors
T Kiyokawa, M Ding, GAG Ricardez, J Takamatsu, T Ogasawara
2019 IEEE/SICE International Symposium on System Integration (SII), 669-674, 2019
12019
Forearm skeleton modeling for pro-/supination movement using CT image measurement
K Nojiri, T Kiyokawa, Y Okayama
2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM …, 2015
12015
Collection of Marine Debris by Jointly Using UAV-UUV with GUI for Simple Operation
N Shirakura, T Kiyokawa, H Kumamoto, J Takamatsu, T Ogasawara
IEEE Access, 2021
2021
Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector
T Kiyokawa, H Katayama, Y Tatsuta, J Takamatsu, T Ogasawara
arXiv preprint arXiv:2104.01260, 2021
2021
Learning dataset creation method and device
K Tomochika, T Kiyokawa, T Ogasawara, J Takamatsu, M Ding
US Patent App. 17/042,481, 2021
2021
Azimuth Angle Estimation Based on Sound Wave Reflection for Mirrors and Transparent Objects
H Katayama, T Kiyokawa, J Takamatsu, T Ogasawara
2021 IEEE/SICE International Symposium on System Integration (SII), 40-45, 2021
2021
組立部品の形状と挙動に応じて変形する柔軟治具
清川拓哉, 佐久間達也, 高松淳, 小笠原司
日本ロボット学会誌 39 (3), 279-282, 2021
2021
変形物体を含む製品の組立作業計画を考慮した三次元 CAD モデルからの組立順序生成
清川拓哉, 田力健人, 高松淳, 小笠原司
日本ロボット学会誌 39 (2), 169-172, 2021
2021
Generating complex assembly sequences from 3D CAD models considering insertion relations
K Tariki, T Kiyokawa, T Nagatani, J Takamatsu, T Ogasawara
Advanced Robotics, 1-12, 2020
2020
Semi-automatic Collection of Marine Debris by Collaborating UAV and UUV
N Shirakura, T Kiyokawa, H Kumamoto, J Takamatsu, T Ogasawara
2020 Fourth IEEE International Conference on Robotic Computing (IRC), 412-413, 2020
2020
Soft-Jig-Driven Assembly Operations
T Kiyokawa, T Sakuma, J Takamatsu, T Ogasawara
arXiv preprint arXiv:2010.10843, 2020
2020
Assembly Sequences Based on Multiple Criteria Against Products with Deformable Parts
T Kiyokawa, J Takamatsu, T Ogasawara
arXiv preprint arXiv:2010.10846, 2020
2020
Pouring from Deformable Containers Using Dual-Arm Manipulation and Tactile Sensing
Y Tsuchiya, T Kiyokawa, GAG Ricardez, J Takamatsu, T Ogasawara
2019 Third IEEE International Conference on Robotic Computing (IRC), 357-362, 2019
2019
粒子群最適化に基づく前腕骨格モデルの剛性パラメータ同定手法
野尻紘聖, 清川拓哉, 大塚弘文, 岡山洋二
人間工学 52 (1), 30-39, 2016
2016
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