Cycle stability and consumption energy efficiency evaluation of walking stabilized by stepping feedforward and visual-lifting feedback

Keli Shen, Xiang Li, Izawa Daiji, Mamoru Minami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Biped locomotion created by control method based on Zero-Moment Point (ZMP) has been realized. However, this motion looks different from humans' walking since ZMP-based walking does not include tiptoe state. And when ZMP is on the tip of supporting foot, ZMP-control cannot work, making the humanoid tend to fall down. Besides, ZMP control lowers the humanoid robots' waist and keeps the knee bended, making robots walk like monkeys. Therefore, keeping the dynamical walking stable is a challenging issue for realizing human-like natural walking including tiptoe state. Our group has constructed dynamical walking model of humanoid robot including impact, point-contacting, surface-contacting and slipping of foot. And we have derived the dynamical equation by the Extended NE method. Combined control of Visual Lifting Approach and stepping feedforward is effective to stabilize biped walking without using ZMP. Walking efficiency is also an important issue to be discussed.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2009-2014
Number of pages6
Volume2018-January
ISBN (Electronic)9781538637418
DOIs
Publication statusPublished - Mar 23 2018
Event2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017 - Macau, China
Duration: Dec 5 2017Dec 8 2017

Other

Other2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
CountryChina
CityMacau
Period12/5/1712/8/17

Fingerprint

Efficiency Evaluation
Feedforward
Energy Efficiency
Energy efficiency
Moment
Feedback
Cycle
Zero
Robots
Humanoid Robot
Biped locomotion
Control Points
Locomotion
Dynamical Model
Walk
Vision
Robot
Tend
Motion

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation

Cite this

Shen, K., Li, X., Daiji, I., & Minami, M. (2018). Cycle stability and consumption energy efficiency evaluation of walking stabilized by stepping feedforward and visual-lifting feedback. In 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017 (Vol. 2018-January, pp. 2009-2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROBIO.2017.8324714

Cycle stability and consumption energy efficiency evaluation of walking stabilized by stepping feedforward and visual-lifting feedback. / Shen, Keli; Li, Xiang; Daiji, Izawa; Minami, Mamoru.

2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 2009-2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shen, K, Li, X, Daiji, I & Minami, M 2018, Cycle stability and consumption energy efficiency evaluation of walking stabilized by stepping feedforward and visual-lifting feedback. in 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 2009-2014, 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017, Macau, China, 12/5/17. https://doi.org/10.1109/ROBIO.2017.8324714
Shen K, Li X, Daiji I, Minami M. Cycle stability and consumption energy efficiency evaluation of walking stabilized by stepping feedforward and visual-lifting feedback. In 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2009-2014 https://doi.org/10.1109/ROBIO.2017.8324714
Shen, Keli ; Li, Xiang ; Daiji, Izawa ; Minami, Mamoru. / Cycle stability and consumption energy efficiency evaluation of walking stabilized by stepping feedforward and visual-lifting feedback. 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2009-2014
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