Takuya Umedachi

976 total citations
59 papers, 739 citations indexed

About

Takuya Umedachi is a scholar working on Biomedical Engineering, Mechanical Engineering and Condensed Matter Physics. According to data from OpenAlex, Takuya Umedachi has authored 59 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Biomedical Engineering, 35 papers in Mechanical Engineering and 21 papers in Condensed Matter Physics. Recurrent topics in Takuya Umedachi's work include Modular Robots and Swarm Intelligence (30 papers), Soft Robotics and Applications (30 papers) and Micro and Nano Robotics (21 papers). Takuya Umedachi is often cited by papers focused on Modular Robots and Swarm Intelligence (30 papers), Soft Robotics and Applications (30 papers) and Micro and Nano Robotics (21 papers). Takuya Umedachi collaborates with scholars based in Japan, United States and Finland. Takuya Umedachi's co-authors include Barry A. Trimmer, Vishesh Vikas, Yoshihiro Kawahara, Akio Ishiguro, Ryo Kobayashi, Toshiyuki Nakagaki, Koichi Takeda, Masahiro Shimizu, Tadahiro Taniguchi and Kentaro Ito and has published in prestigious journals such as IEEE Access, Journal of Physics D Applied Physics and Biological Cybernetics.

In The Last Decade

Takuya Umedachi

50 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Umedachi Japan 11 617 431 317 120 39 59 739
Emanuela Del Dottore Italy 13 417 0.7× 387 0.9× 160 0.5× 137 1.1× 25 0.6× 36 700
Zeynep Temel United States 13 443 0.7× 279 0.6× 214 0.7× 119 1.0× 88 2.3× 36 696
Saurabh Jadhav United States 10 819 1.3× 457 1.1× 257 0.8× 234 1.9× 33 0.8× 18 1.0k
Ariel A. Calderón United States 10 386 0.6× 320 0.7× 179 0.6× 76 0.6× 73 1.9× 15 681
Kaushik Jayaram United States 14 577 0.9× 357 0.8× 198 0.6× 130 1.1× 140 3.6× 39 822
Pedro M. Reis United States 16 391 0.6× 611 1.4× 131 0.4× 159 1.3× 32 0.8× 20 1.1k
Utku Çulha Switzerland 12 676 1.1× 301 0.7× 132 0.4× 297 2.5× 46 1.2× 18 785
Juan Cristóbal Zagal Chile 12 285 0.5× 238 0.6× 109 0.3× 89 0.7× 69 1.8× 25 578
Yasemin Ozkan-Aydin United States 15 462 0.7× 332 0.8× 194 0.6× 99 0.8× 79 2.0× 35 718
Yuzhe Wang Singapore 13 802 1.3× 418 1.0× 170 0.5× 96 0.8× 37 0.9× 35 1000

Countries citing papers authored by Takuya Umedachi

Since Specialization
Citations

This map shows the geographic impact of Takuya Umedachi'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 Umedachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Umedachi more than expected).

Fields of papers citing papers by Takuya Umedachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takuya Umedachi. 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 Umedachi. The network helps show where Takuya Umedachi may publish in the future.

Co-authorship network of co-authors of Takuya Umedachi

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Umedachi. A scholar is included among the top collaborators of Takuya Umedachi 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 Umedachi. Takuya Umedachi 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.
Minami, Kosuke, Yasuhiro Akiyama, & Takuya Umedachi. (2024). Embroidery Bend Sensor of Multiple Zigzag Stitch for Motion Classification in Loose-fitting Garments. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2024(0). 1P1–C10. 1 indexed citations
2.
Umedachi, Takuya, et al.. (2024). Steerable Flipping Elastic Robot That Leverages Elastic Energy Through Both Bending and Twisting Deformation. IEEE Robotics and Automation Letters. 9(11). 10583–10588.
4.
Umedachi, Takuya, et al.. (2023). Origami-based Invaginatable Soft Vacuum Actuators with Optimized Creases that Avoid Bending Stress Concentration. Sensors and Materials. 35(9). 3109–3109.
5.
Umedachi, Takuya, et al.. (2023). Bistable Tensegrity Robot with Jumping Repeatability Based on Rigid Plate-Shaped Compressors. 8324–8330. 3 indexed citations
7.
Yoshikawa, Daiki, Masahiro Shimizu, & Takuya Umedachi. (2023). A single motor-driven continuum robot that can be designed to deform into a complex shape with curvature distribution. ROBOMECH Journal. 10(1). 6 indexed citations
8.
Umedachi, Takuya & Masahiro Shimizu. (2022). Toward Self-Modifying Bio-Soft Robots. Journal of Robotics and Mechatronics. 34(2). 219–222. 3 indexed citations
9.
Umedachi, Takuya, et al.. (2021). Bistability in Tensegrity Structures with Plate Compressors. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021(0). 1P3–G11. 1 indexed citations
10.
Shimizu, Masahiro, et al.. (2021). Diverse Behaviors of a Single-Motor-Driven Soft-Bodied Robot Utilizing the Resonant Vibration of 2D Repetitive Slit Patterns. IEEE Robotics and Automation Letters. 7(2). 992–999. 7 indexed citations
11.
Umedachi, Takuya, Weiwei Jiang, Takuya Sasatani, et al.. (2020). Continuum Robotic Caterpillar with Wirelessly Powered Shape Memory Alloy Actuators. Soft Robotics. 7(6). 700–710. 32 indexed citations
12.
Umedachi, Takuya, et al.. (2020). Caterpillar-inspired soft robot that locomotes upside-down by utilizing environmental skeleton. Engineering Research Express. 2(3). 35022–35022.
13.
Umedachi, Takuya, et al.. (2019). Exploring Behaviors of Caterpillar-Like Soft Robots with a Central Pattern Generator-Based Controller and Reinforcement Learning. Soft Robotics. 6(5). 579–594. 35 indexed citations
14.
Shimizu, Masahiro, Hiroki Kawashima, Takuya Umedachi, et al.. (2019). Self-organizing cell tactile perception which depends on mechanical stimulus history. Advanced Robotics. 33(5). 232–242. 1 indexed citations
15.
Umedachi, Takuya, et al.. (2013). True-slime-mould-inspired hydrostatically coupled oscillator system exhibiting versatile behaviours. Bioinspiration & Biomimetics. 8(3). 35001–35001. 14 indexed citations
16.
Umedachi, Takuya, et al.. (2011). A Soft Deformable Amoeboid Robot Inspired by Plasmodium of True Slime Mold. 7(6). 449–462. 5 indexed citations
17.
Umedachi, Takuya, Koichi Takeda, Toshiyuki Nakagaki, Ryo Kobayashi, & Akio Ishiguro. (2010). Fully decentralized control of a soft-bodied robot inspired by true slime mold. Biological Cybernetics. 102(3). 261–269. 57 indexed citations
18.
19.
Umedachi, Takuya, et al.. (2005). 1P2-S-005 Development of a Real-time Tunable Spring : Toward Independent Control of Position and Stiffness of Joints(Flexible Mechanism,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2005(0). 120–120. 1 indexed citations
20.
Umedachi, Takuya, et al.. (2004). Development of a Real-time Tunable Elastic Element with ER Fluid. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2004(0). 111–111. 1 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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