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Atsushi Takata

5 accepted papers

2021

Shape Recognition of a Tensegrity With Soft Sensor Threads and Artificial Muscles Using a Recurrent Neural Network

RA-L 2021

This letter proposes a novel method to accomplish shape recognition by utilizing a tensegrity structure with a soft sensor via a recurrent neural network (RNN). The combination of soft tensegrity and soft sensors make it capable of recognizing the deformation to reflect the shape of its surroundings

Cited by 11Source ↗Scholar ↗
2021

Tension Control Method Utilizing Antagonistic Tension to Enlarge the Workspace of Coupled Tendon-Driven Articulated Manipulator

RA-L 2021

The exploration and inspection of narrow spaces in industrial plants require the use of long-reach redundant manipulators with large three-dimensional (3D) workspaces. To this end, in a previous work, a coupled tendon-driven articulated manipulator with a total length of 10 m and yaw joints for 3D m

Cited by 3Source ↗Scholar ↗
2018

Development of New Terminal Fixation Method for Synthetic Fiber Ropes

RA-L 2018

A synthetic fiber rope is potentially capable of replacing a stainless steel wire rope because it is light weight, and has high tensile strength and flexibility. In order to exploit the maximum tensile strength of the rope, a terminal fixation method with a sufficient fixing force is essential. Howe

Cited by 13Source ↗Scholar ↗
2018

Modeling of Synthetic Fiber Ropes and Frequency Response of Long-Distance Cable-Pulley System

RA-L 2018

In recent years, synthetic fiber ropes have attracted much attention because of their potential to increase the load capacity, reduce the size, and lighten the weight of tendon-driven mechanisms. However, the mechanical characteristics of synthetic fiber ropes in a dynamic loading situation remain a

Cited by 14Source ↗Scholar ↗