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

17 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20251 cited

Stability Recognition with Active Vibration for Bracing Behaviors and Motion Extensions Using Environment in Musculoskeletal Humanoids

Kento Kawaharazuka, Manabu Nishiura, Shinsuke Nakashima +7

Although robots with flexible bodies are superior in terms of the contact and adaptability, it is difficult to control them precisely. On the other hand, human beings make use of t…

cs.RO20257 cited

Design Optimization of Musculoskeletal Humanoids with Maximization of Redundancy to Compensate for Muscle Rupture

Kento Kawaharazuka, Yasunori Toshimitsu, Manabu Nishiura +6

Musculoskeletal humanoids have various biomimetic advantages, and the redundant muscle arrangement allowing for variable stiffness control is one of the most important. In this stu…

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.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…