Zobrazeno 1 - 10
of 1 244
pro vyhledávání: '"Tanaka Yusuke"'
In limbed robotics, end-effectors must serve dual functions, such as both feet for locomotion and grippers for grasping, which presents design challenges. This paper introduces a multi-modal end-effector capable of transitioning between flat and line
Externí odkaz:
http://arxiv.org/abs/2410.17524
This paper presents a novel approach through the design and implementation of Cycloidal Quasi-Direct Drive actuators for legged robotics. The cycloidal gear mechanism, with its inherent high torque density and mechanical robustness, offers significan
Externí odkaz:
http://arxiv.org/abs/2410.16591
Autor:
Uemura, Takahiro, Moritake, Yuto, Yoda, Taiki, Chiba, Hisashi, Tanaka, Yusuke, Ono, Masaaki, Kuramochi, Eiichi, Notomi, Masaya
Photonic topological insulators (PTIs) have been proposed as an analogy to topological insulators in electronic systems. In particular, two-dimensional PTIs have gained attention for the integrated circuit applications. However, controlling the topol
Externí odkaz:
http://arxiv.org/abs/2406.08783
The operator learning has received significant attention in recent years, with the aim of learning a mapping between function spaces. Prior works have proposed deep neural networks (DNNs) for learning such a mapping, enabling the learning of solution
Externí odkaz:
http://arxiv.org/abs/2402.09018
Autor:
Schperberg, Alexander, Tanaka, Yusuke, Mowlavi, Saviz, Xu, Feng, Balaji, Bharathan, Hong, Dennis
State estimation for legged robots is challenging due to their highly dynamic motion and limitations imposed by sensor accuracy. By integrating Kalman filtering, optimization, and learning-based modalities, we propose a hybrid solution that combines
Externí odkaz:
http://arxiv.org/abs/2401.16719
Autor:
Takimoto, Yoshiaki, Tanaka, Yusuke, Iwata, Tomoharu, Okawa, Maya, Kim, Hideaki, Toda, Hiroyuki, Kurashima, Takeshi
Human activities generate various event sequences such as taxi trip records, bike-sharing pick-ups, crime occurrence, and infectious disease transmission. The point process is widely used in many applications to predict such events related to human a
Externí odkaz:
http://arxiv.org/abs/2401.15846
This paper presents SCALER, a versatile free-climbing multi-limbed robot that is designed to achieve tightly coupled simultaneous locomotion and dexterous grasping. Although existing quadruped-limbed robots have shown impressive dexterous skills such
Externí odkaz:
http://arxiv.org/abs/2312.04856
We propose a neural network-based meta-learning method to efficiently solve partial differential equation (PDE) problems. The proposed method is designed to meta-learn how to solve a wide variety of PDE problems, and uses the knowledge for solving ne
Externí odkaz:
http://arxiv.org/abs/2310.13270
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
In this paper, we explores the expressivity and trainability of the Fourier Neural Operator (FNO). We establish a mean-field theory for the FNO, analyzing the behavior of the random FNO from an edge of chaos perspective. Our investigation into the ex
Externí odkaz:
http://arxiv.org/abs/2310.06379
Autor:
Tanaka, Yusuke, Mehta, Ankur
This paper introduces REMS, a robotics middleware and control framework that is designed to introduce the Zen of Python to robotics and to improve robotics education and development flow. Although existing middleware can serve hardware abstraction an
Externí odkaz:
http://arxiv.org/abs/2210.05784