Research output per year
Research output per year
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Dive into the research topics where Hideyuki Sawada is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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An Untethered Bionic Robotic Fish Using SMA Actuators
Chen, X., Shigemune, H. & Sawada, H., 2020 Oct 13, 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020. Institute of Electrical and Electronics Engineers Inc., p. 1768-1773 6 p. 9233798. (2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A Robotic Wheel Locally Transforming the Diameter for the Locomotion on Rough Terrain
Moriya, N., Shigemune, H. & Sawada, H., 2020 Oct 13, 2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020. Institute of Electrical and Electronics Engineers Inc., p. 1257-1262 6 p. 9233579. (2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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End-to-End Tactile Feedback Loop: From Soft Sensor Skin over Deep GRU-Autoencoders to Tactile Stimulation
Geier, A., Tucker, R., Somlor, S., Sawada, H. & Sugano, S., 2020 Oct, In: IEEE Robotics and Automation Letters. 5, 4, p. 6467-6474 8 p., 9152113.Research output: Contribution to journal › Article › peer-review
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Four-dimensional collision detection via five-dimensional homogeneous processing
Nakai, Y., Miwa, T., Shigemune, H., Hashimoto, S. & Sawada, H., 2020, Eleventh International Conference on Graphics and Image Processing, ICGIP 2019. Pan, Z. & Wang, X. (eds.). SPIE, 1137329. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11373).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Morphological Computation of Skin Focusing on Fingerprint Structure
Musha, A., Daihara, M., Shigemune, H. & Sawada, H., 2020, Artificial Neural Networks and Machine Learning – ICANN 2020 - 29th International Conference on Artificial Neural Networks, Proceedings. Farkaš, I., Masulli, P. & Wermter, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 470-481 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12397 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution