Literature DB >> 28654003

A Force-Sensing System on Legs for Biomimetic Hexapod Robots Interacting with Unstructured Terrain.

He Zhang1, Rui Wu2, Changle Li3, Xizhe Zang4, Xuehe Zhang5, Hongzhe Jin6, Jie Zhao7.   

Abstract

The tiger beetle can maintain its stability by controlling the interaction force between its legs and an unstructured terrain while it runs. The biomimetic hexapod robot mimics a tiger beetle, and a comprehensive force sensing system combined with certain algorithms can provide force information that can help the robot understand the unstructured terrain that it interacts with. This study introduces a complicated leg force sensing system for a hexapod robot that is the same for all six legs. First, the layout and configuration of sensing system are designed according to the structure and sizes of legs. Second, the joint toque sensors, 3-DOF foot-end force sensor and force information processing module are designed, and the force sensor performance parameters are tested by simulations and experiments. Moreover, a force sensing system is implemented within the robot control architecture. Finally, the experimental evaluation of the leg force sensor system on the hexapod robot is discussed and the performance of the leg force sensor system is verified.

Entities:  

Keywords:  3-DOF foot-end force sensor; biomimetic hexapod robot; force-sensing system; interactive force with terrain; joint torque sensor

Year:  2017        PMID: 28654003      PMCID: PMC5539746          DOI: 10.3390/s17071514

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

Review 1.  Walknet, a bio-inspired controller for hexapod walking.

Authors:  Malte Schilling; Thierry Hoinville; Josef Schmitz; Holk Cruse
Journal:  Biol Cybern       Date:  2013-07-04       Impact factor: 2.086

2.  Multi-Axis Force/Torque Sensor Based on Simply-Supported Beam and Optoelectronics.

Authors:  Yohan Noh; Joao Bimbo; Sina Sareh; Helge Wurdemann; Jan Fraś; Damith Suresh Chathuranga; Hongbin Liu; James Housden; Kaspar Althoefer; Kawal Rhode
Journal:  Sensors (Basel)       Date:  2016-11-17       Impact factor: 3.576

  2 in total
  2 in total

1.  An Efficient Three-Dimensional Convolutional Neural Network for Inferring Physical Interaction Force from Video.

Authors:  Dongyi Kim; Hyeon Cho; Hochul Shin; Soo-Chul Lim; Wonjun Hwang
Journal:  Sensors (Basel)       Date:  2019-08-17       Impact factor: 3.576

2.  Inferring Interaction Force from Visual Information without Using Physical Force Sensors.

Authors:  Wonjun Hwang; Soo-Chul Lim
Journal:  Sensors (Basel)       Date:  2017-10-26       Impact factor: 3.576

  2 in total

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