Zobrazeno 1 - 10
of 9 149
pro vyhledávání: '"Nishiura, A."'
Autor:
Kawaharazuka, Kento, Koga, Yuya, Nishiura, Manabu, Omura, Yusuke, Asano, Yuki, Okada, Kei, Kawasaki, Koji, Inaba, Masayuki
While musculoskeletal humanoids have the advantages of various biomimetic structures, it is difficult to accurately control the body, which is challenging to model. Although various learning-based control methods have been developed so far, they cann
Externí odkaz:
http://arxiv.org/abs/2411.06323
Autor:
Koga, Yuya, Kawaharazuka, Kento, Toshimitsu, Yasunori, Nishiura, Manabu, Omura, Yusuke, Asano, Yuki, Okada, Kei, Kawasaki, Koji, Inaba, Masayuki
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 shoulder complex. The effectiveness of this method was confirmed by r
Externí odkaz:
http://arxiv.org/abs/2411.06320
A formulation for the parametric instability of electromagnetic (EM) waves in magnetized pair plasma is developed. The linear growth rate of induced Compton scattering is derived analytically for frequencies below the cyclotron frequency for the firs
Externí odkaz:
http://arxiv.org/abs/2411.00936
Autor:
Ueda, Kenji, Nishiura, Masaki.
We present a novel Bayesian tomography approach for Coherence Imaging Spectroscopy (CIS) that simultaneously reconstructs ion temperature and velocity distributions in plasmas. Utilizing nonlinear Gaussian Process Tomography (GPT) with the Laplace ap
Externí odkaz:
http://arxiv.org/abs/2410.12424
Autor:
Ueda, Kenji, Nishiura, Masaki
We propose a novel tomographic method, nonlinear Gaussian process tomography (nonlinear GPT) that employs the Laplace approximation to ensure the non-negative physical quantity, such as the emissivity of plasma optical diagnostics. This new method im
Externí odkaz:
http://arxiv.org/abs/2410.11454
Autor:
Kawaharazuka, Kento, Nishiura, Manabu, Toshimitsu, Yasunori, Omura, Yusuke, Koga, Yuya, Asano, Yuki, Kawasaki, Koji, Inaba, Masayuki
Musculoskeletal humanoids have various biomimetic advantages, of which redundant muscle arrangement is one of the most important features. This feature enables variable stiffness control and allows the robot to keep moving its joints even if one of t
Externí odkaz:
http://arxiv.org/abs/2409.14951
Autor:
Omura, Yusuke, Kawaharazuka, Kento, Nagamatsu, Yuya, Koga, Yuya, Nishiura, Manabu, Toshimitsu, Yasunori, Asano, Yuki, Okada, Kei, Kawasaki, Koji, Inaba, Masayuki
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 integrate various sensory information to perceive their surroundings, and
Externí odkaz:
http://arxiv.org/abs/2409.06429
Autor:
Kawaharazuka, Kento, Nishiura, Manabu, Koga, Yuya, Omura, Yusuke, Toshimitsu, Yasunori, Asano, Yuki, Okada, Kei, Kawasaki, Koji, Inaba, Masayuki
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 computational cost and complexity. Therefore, it is effective to extract function
Externí odkaz:
http://arxiv.org/abs/2409.00678
Autor:
Arakawa, Sota, Tanaka, Hidekazu, Kokubo, Eiichiro, Okuzumi, Satoshi, Tatsuuma, Misako, Nishiura, Daisuke, Furuichi, Mikito
Aggregates consisting of submicron-sized cohesive dust grains are ubiquitous, and understanding the collisional behavior of dust aggregates is essential. It is known that low-speed collisions of dust aggregates result in either sticking or bouncing,
Externí odkaz:
http://arxiv.org/abs/2408.15573
Autor:
Onitsuka, Moritaka, Nishiura, Manabu, Kawaharazuka, Kento, Tsuzuki, Kei, Toshimitsu, Yasunori, Omura, Yusuke, Asano, Yuki, Okada, Kei, Kawasaki, Koji, Inaba, Masayuki
Musculoskeletal humanoids have been developed by imitating humans and expected to perform natural and dynamic motions as well as humans. To achieve desired motions stably in current musculoskeletal humanoids is not easy because they cannot maintain t
Externí odkaz:
http://arxiv.org/abs/2404.00890