Haptic Feedback with a Reservoir Computing-Based Recurrent Neural Network for Multiple Terrain Classification of a Walking Robot

Pongsiri Borijindakul, Noparit Jinuntuya, Poramate Manoonpong*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Terrain classification is an important feature for walking robots because it allows the robots to stably move and operate on the terrain. Different terrain classification techniques have been developed. The techniques include the use of different exteroceptive and proprioceptive sensors with different classification methods. Whereas these techniques have been widely used to classify flat, hard, and rough terrains, their application to soft terrains has not been fully addressed. Achieving soft-terrain classification will expand the operational range of walking robots. Thus, in this study, we propose a new technique to classify various terrains including soft ones. The technique exploits haptic feedback (expressed only through ground contact force measurement of a legged robot) and neurodynamics with the temporal memory of a reservoir computing-based recurrent neural network. We used six different terrains to evaluate the performance of the proposed technique. The terrains include sand (loose ground), foams with different softness levels (soft ground), and floor (hard ground). The experimental results show that we can successfully classify all terrains with an accuracy of above 70%. Furthermore, owing to the temporal memory of the network, if the haptic feedback is transiently missing, the network will be still be able to classify the terrain considerably well.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications : 12th International Conference, ICIRA 2019, Proceedings
EditorsHaibin Yu, Jinguo Liu, Lianqing Liu, Zhaojie Ju, Yuwang Liu, Dalin Zhou
Volume4
PublisherSpringer
Publication dateAug 2019
Pages233-244
ISBN (Print)9783030275372
ISBN (Electronic)978-3-030-27538-9
DOIs
Publication statusPublished - Aug 2019
Event12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 - Shenyang, China
Duration: 8. Aug 201911. Aug 2019

Conference

Conference12th International Conference on Intelligent Robotics and Applications, ICIRA 2019
Country/TerritoryChina
CityShenyang
Period08/08/201911/08/2019
SeriesLecture Notes in Computer Science
Volume11743
ISSN0302-9743

Keywords

  • Haptic feedback
  • Neural networks
  • Soft terrains
  • Terrain classification
  • Walking machines

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