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

17 citations · 42 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2025★ 1 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.RO2025★ 3 cited

Online Learning of Danger Avoidance for Complex Structures of Musculoskeletal Humanoids and Its Applications

Kento Kawaharazuka, Naoki Hiraoka, Yuya Koga +6

The complex structure of musculoskeletal humanoids makes it difficult to model them, and the inter-body interference and high internal muscle force are unavoidable. Although variou…

cs.RO2025★ 7 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.RO2024

Motion Modification Method of Musculoskeletal Humanoids by Human Teaching Using Muscle-Based Compensation Control

Kento Kawaharazuka, Yuya Koga, Manabu Nishiura +5

While musculoskeletal humanoids have the advantages of various biomimetic structures, it is difficult to accurately control the body, which is challenging to model. Although variou…

cs.RO2024★ 7 cited

Self-Body Image Acquisition and Posture Generation with Redundancy using Musculoskeletal Humanoid Shoulder Complex for Object Manipulation

Yuya Koga, Kento Kawaharazuka, Yasunori Toshimitsu +6

We proposed a method for learning the actual body image of a musculoskeletal humanoid for posture generation and object manipulation using inverse kinematics with redundancy in the…

cs.RO2024★ 17 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…