Takuya Kiyokawa

595 total citations · 1 hit paper
36 papers, 344 citations indexed

About

Takuya Kiyokawa is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Takuya Kiyokawa has authored 36 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 14 papers in Industrial and Manufacturing Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Takuya Kiyokawa's work include Robot Manipulation and Learning (23 papers), Manufacturing Process and Optimization (9 papers) and Robotics and Sensor-Based Localization (7 papers). Takuya Kiyokawa is often cited by papers focused on Robot Manipulation and Learning (23 papers), Manufacturing Process and Optimization (9 papers) and Robotics and Sensor-Based Localization (7 papers). Takuya Kiyokawa collaborates with scholars based in Japan, United States and Italy. Takuya Kiyokawa's co-authors include Ixchel G. Ramírez-Alpizar, Natsuki Yamanobe, Gustavo Alfonso Garcia Ricardez, Jun Takamatsu, Enrique Coronado, Gentiane Venture, Tsukasa Ogasawara, Kensuke Harada, Weiwei Wan and Shigeki Koyanaka and has published in prestigious journals such as IEEE Access, Journal of Manufacturing Systems and Robotics and Computer-Integrated Manufacturing.

In The Last Decade

Takuya Kiyokawa

29 papers receiving 336 citations

Hit Papers

Evaluating quality in human-robot interaction: A systemat... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an industry 5.0
    2022 149 citations Takuya Kiyokawa, Gustavo Alfonso Garcia Ricardez et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takuya Kiyokawa Japan 9 141 105 55 45 41 36 344
Jānis Ārents Latvia 6 98 0.7× 107 1.0× 66 1.2× 39 0.9× 26 0.6× 14 268
Mohamad Bdiwi Germany 8 110 0.8× 149 1.4× 52 0.9× 51 1.1× 44 1.1× 50 288
Dionisis Andronas Greece 11 130 0.9× 108 1.0× 34 0.6× 48 1.1× 25 0.6× 20 248
Esther Gonzalez‐Sarabia Spain 4 133 0.9× 208 2.0× 53 1.0× 103 2.3× 79 1.9× 7 430
Ana Djuric United States 8 154 1.1× 183 1.7× 40 0.7× 70 1.6× 42 1.0× 42 378
Anil Kumar Inkulu 6 182 1.3× 67 0.6× 90 1.6× 19 0.4× 32 0.8× 6 307
Isma Akli Algeria 6 105 0.7× 171 1.6× 74 1.3× 74 1.6× 76 1.9× 14 360
Ruobing Wang China 9 78 0.6× 125 1.2× 67 1.2× 59 1.3× 19 0.5× 23 288
Chengxi Li Hong Kong 5 158 1.1× 88 0.8× 63 1.1× 36 0.8× 15 0.4× 9 283
Konstantinos Dimoulas Greece 7 246 1.7× 173 1.6× 67 1.2× 50 1.1× 73 1.8× 7 420

Countries citing papers authored by Takuya Kiyokawa

Since Specialization
Citations

This map shows the geographic impact of Takuya Kiyokawa's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takuya Kiyokawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Kiyokawa more than expected).

Fields of papers citing papers by Takuya Kiyokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takuya Kiyokawa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takuya Kiyokawa. The network helps show where Takuya Kiyokawa may publish in the future.

Co-authorship network of co-authors of Takuya Kiyokawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Kiyokawa. A scholar is included among the top collaborators of Takuya Kiyokawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takuya Kiyokawa. Takuya Kiyokawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kiyokawa, Takuya, et al.. (2025). Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move. 965–972.
2.
Kiyokawa, Takuya, et al.. (2025). Cooking Task Planning using LLM and Verified by Graph Network. 735–742. 1 indexed citations
3.
Kiyokawa, Takuya, et al.. (2025). Vision-based Robotic Assembly from Novel Graphical Instructions. 1221–1228.
4.
Kiyokawa, Takuya, et al.. (2024). Assembly Task Allocation for Human–Robot Collaboration Considering Stability and Assembly Complexity. IEEE Access. 12. 159821–159832. 1 indexed citations
5.
Koyama, Keisuke, Fanny Ficuciello, Ryuta Ozawa, et al.. (2024). Synergy Hand Using Fluid Network: Realization of Various Grasping/Manipulation Styles. IEEE Access. 12. 164966–164978.
6.
Kiyokawa, Takuya, et al.. (2023). Error Correction in Robotic Assembly Planning From Graphical Instruction Manuals. IEEE Access. 11. 107276–107286. 4 indexed citations
7.
Kiyokawa, Takuya, Zhenting Wang, Natsuki Yamanobe, et al.. (2023). Difficulty and complexity definitions for assembly task allocation and assignment in human–robot collaborations: A review. Robotics and Computer-Integrated Manufacturing. 84. 102598–102598. 23 indexed citations
8.
Koyama, Keisuke, Ryuta Ozawa, Kazuyuki Nagata, et al.. (2023). Torque-Sensing Soft Bellows Actuator for Multi-Fingered Hands Taking Bellow’s Buckling Into Consideration. IEEE Access. 11. 129258–129268. 2 indexed citations
9.
Wan, Weiwei, et al.. (2023). In-Hand Pose Estimation Using Hand-Mounted RGB Cameras and Visuotactile Sensors. IEEE Access. 11. 17218–17232. 17 indexed citations
10.
Nishi, Takao, et al.. (2023). Probabilistic Slide-support Manipulation Planning in Clutter. 23. 1016–1022. 1 indexed citations
11.
Kiyokawa, Takuya, et al.. (2022). Graph-Based Framework on Bimanual Manipulation Planning from Cooking Recipe. Robotics. 11(6). 123–123.
12.
Kiyokawa, Takuya, et al.. (2022). Category-Association Based Similarity Matching for Novel Object Pick-and-Place Task. IEEE Robotics and Automation Letters. 7(2). 2961–2968. 7 indexed citations
13.
Wan, Weiwei, et al.. (2022). Obtaining an Object’s 3D Model Using Dual-Arm Robotic Manipulation and Stationary Depth Sensing. IEEE Transactions on Automation Science and Engineering. 20(3). 2075–2087. 7 indexed citations
14.
Sakuma, T., Takuya Kiyokawa, Jun Takamatsu, Takahiro Wada, & Tsukasa Ogasawara. (2022). Soft-Jig: A Flexible Sensing Jig for Simultaneously Fixing and Estimating Orientation of Assembly Parts. 2022 International Conference on Robotics and Automation (ICRA). 10945–10950. 2 indexed citations
15.
Kiyokawa, Takuya, Jun Takamatsu, & Shigeki Koyanaka. (2022). Challenges for Future Robotic Sorters of Mixed Industrial Waste: A Survey. IEEE Transactions on Automation Science and Engineering. 21(1). 1023–1040. 25 indexed citations
16.
Kiyokawa, Takuya, et al.. (2021). Robotic Waste Sorter with Agile Manipulation and Quickly Trainable Detector. arXiv (Cornell University). 16 indexed citations
17.
Kiyokawa, Takuya, et al.. (2021). Collection of Marine Debris by Jointly Using UAV-UUV With GUI for Simple Operation. IEEE Access. 9. 67432–67443. 9 indexed citations
18.
Kiyokawa, Takuya, et al.. (2020). 3D Model-Based Assembly Sequence Optimization using Insertionable Properties of Parts. 1400–1405. 1 indexed citations
19.
20.
Kiyokawa, Takuya, et al.. (2019). Efficient collection and automatic annotation of real-world object images by taking advantage of post-diminished multiple visual markers. Advanced Robotics. 33(24). 1264–1280. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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