28 citations · 34 across the 6 of their papers we have counts for
6 papers
Design of a Biomimetic Joint-Covering Skin with Tissue-Like Structure to Enhance Proprioception in a Musculoskeletal Humanoid
Akihiro Miki, Shun Hasegawa, Yoshimoto Ribayashi +2
Proprioception in musculoskeletal humanoids is typically estimated primarily from muscle sensing, while the role of cutaneous deformation around joints remains insufficiently explo…
Exploring the proprioceptive potential of joint receptors using a biomimetic robotic joint
Akihiro Miki, Shun Hasegawa, Sota Yuzaki +4
In neuroscience, joint receptors have traditionally been viewed as limit detectors, providing positional information only at extreme joint angles, while muscle spindles are conside…
Front Hair Styling Robot System Using Path Planning for Root-Centric Strand Adjustment
Soonhyo Kim, Naoaki Kanazawa, Shun Hasegawa +2
Hair styling is a crucial aspect of personal grooming, significantly influenced by the appearance of front hair. While brushing is commonly used both to detangle hair and for styli…
Design of a Five-Fingered Hand with Full-Fingered Tactile Sensors Using Conductive Filaments and Its Application to Bending after Insertion Motion
Kazuhiro Miyama, Shun Hasegawa, Kento Kawaharazuka +3
The purpose of this study is to construct a contact point estimation system for the both side of a finger, and to realize a motion of bending the finger after inserting the finger…
Integrative Wrapping System for a Dual-Arm Humanoid Robot
Yukina Iwata, Shun Hasegawa, Kento Kawaharazuka +2
Flexible object manipulation of paper and cloth is a major research challenge in robot manipulation. Although there have been efforts to develop hardware that enables specific acti…
Determination of the Dzyaloshinskii-Moriya interaction using pattern recognition and machine learning
Masashi Kawaguchi, Kenji Tanabe, Keisuke Yamada +4
Machine learning is applied to a large number of modern devices that are essential in building energy efficient smart society. Audio and face recognition are among the most well-kn…