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The design, control and experiment of a high payload-weight hexapod robot

  • Zhixiong Huang
  • , Wenfu Xu
  • , Zhiying Wang*
  • , Zonggao Mu
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Compared with other types of legged robot, a hexapod robot is much more flexible for non-structured environment. In this paper, we developed a hexapod robot with high payload-weight ratio. Inspired by an ant, which can carry things much heavier than itself, we defined a design criterion for a hexapod robot, considering the maximal payload mass and its own mass. We called it payload-weight ratio, i.e. the ratio of the maximal payload mass and the robot mass. Based on the definition above, we derived the objective function to be optimized from the view of dynamic behaviors. Given the constraint conditions, including the drive torque of each joint, and the workspace of each leg, the kinematic structure and parameters were optimized. Then, a robot prototype was manufactured using the optimized results. The control system, including an embedded controller and a human-robot interaction system based on the ROS (Robot Operating System) was also developed. At last, the experiments of typical cases were conducted to verified the design and control of the high payload-weight hexapod robot.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2431-2436
Number of pages6
ISBN (Electronic)9781479973965
DOIs
StatePublished - 20 Apr 2014
Externally publishedYes
Event2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 - Bali, Indonesia
Duration: 5 Dec 201410 Dec 2014

Publication series

Name2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014

Conference

Conference2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
Country/TerritoryIndonesia
CityBali
Period5/12/1410/12/14

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