Implementation of FPGA based efficient gait controller for a biped robot

Muhammad Yaqoob Javed, Yasir Saleem, Muhammad Majid Gulzar, Syed Tahir Hussain Rizvi, Muhammad Saeed Tahir

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

3 Scopus citations

Abstract

This work attempts to introduce a preferably easier and efficient simulation technique followed by the implementation for biped robot gait pattern. For the gait pattern an automated path is generated with the aid of an algorithmic program titled as reverse kinematics and zero moment point (IK-ZMP). Moreover an adaptive control system is proposed for balancing and control of the biped gait movement. This algorithm is simulated in a concurrent language known as VHDL and then it is implemented on FPGA-Spartan 3E, DIGILENT-NEXYS 2. Simulation results and hardware execution validates the effectiveness of this approach. Hence this method has effectively reduced the time duration from 0.56 jusec to 0.16 μsec which is nearly four times lesser than the time lengths of former method with sequential approach.

Original languageEnglish
Title of host publication2017 2nd International Conference on Robotics and Automation Engineering, ICRAE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-47
Number of pages6
ISBN (Electronic)9781538613054
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event2nd International Conference on Robotics and Automation Engineering, ICRAE 2017 - Shanghai, China
Duration: 29 Dec 201731 Dec 2017

Publication series

Name2017 2nd International Conference on Robotics and Automation Engineering, ICRAE 2017
Volume2017-December

Conference

Conference2nd International Conference on Robotics and Automation Engineering, ICRAE 2017
Country/TerritoryChina
CityShanghai
Period29/12/1731/12/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • FPGA
  • VHDL
  • inverse kinematics
  • static walking
  • xilinx
  • zero moment point

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Mechanical Engineering

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