most citedAntagonist Inhibition Control in Redundant Tendon-driven Structures Based on Human Reciprocal Innervation for Wide Range Limb Motion of Musculoskeletal Humanoids

35 citations · 55 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO202417 cited

Robust Continuous Motion Strategy Against Muscle Rupture using Online Learning of Redundant Intersensory Networks for Musculoskeletal Humanoids

Kento Kawaharazuka, Manabu Nishiura, Yasunori Toshimitsu +5

Musculoskeletal humanoids have various biomimetic advantages, of which redundant muscle arrangement is one of the most important features. This feature enables variable stiffness c…

cs.RO20241 cited

Human-mimetic binaural ear design and sound source direction estimation for task realization of musculoskeletal humanoids

Yusuke Omura, Kento Kawaharazuka, Yuya Nagamatsu +7

Human-like environment recognition by musculoskeletal humanoids is important for task realization in real complex environments and for use as dummies for test subjects. Humans inte…

cs.RO202435 cited

Antagonist Inhibition Control in Redundant Tendon-driven Structures Based on Human Reciprocal Innervation for Wide Range Limb Motion of Musculoskeletal Humanoids

Kento Kawaharazuka, Masaya Kawamura, Shogo Makino +3

The body structure of an anatomically correct tendon-driven musculoskeletal humanoid is complex, and the difference between its geometric model and the actual robot is very large b…

cs.RO20242 cited

Automatic Grouping of Redundant Sensors and Actuators Using Functional and Spatial Connections: Application to Muscle Grouping for Musculoskeletal Humanoids

Kento Kawaharazuka, Manabu Nishiura, Yuya Koga +6

For a robot with redundant sensors and actuators distributed throughout its body, it is difficult to construct a controller or a neural network using all of them due to computation…