Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean
Push recovery is prime ability that is essential to be incorporated in the process of developing a robust humanoid robot to support bipedalism. In real environment it is very essential for humanoid robot to maintain balance. In this paper we are generating a control system and push recovery controll...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Internacional de La Rioja (UNIR)
2016-12-01
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| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Subjects: | |
| Online Access: | http://www.ijimai.org/journal/node/1441 |
| _version_ | 1818623669392375808 |
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| author | Anubha Parashar Apoorva Parashar Somya Goyal |
| author_facet | Anubha Parashar Apoorva Parashar Somya Goyal |
| author_sort | Anubha Parashar |
| collection | DOAJ |
| description | Push recovery is prime ability that is essential to be incorporated in the process of developing a robust humanoid robot to support bipedalism. In real environment it is very essential for humanoid robot to maintain balance. In this paper we are generating a control system and push recovery controller for humanoid robot walking. We apply different kind of pushes to humanoid robot and the algorithm that can bring a change in the walking stage to sustain walking. The simulation is done in 3D environment using Webots. This paper describes techniques for feature selection to foreshow push recovery for hip, ankle and knee joint. We train the system by K-Mean algorithm and testing is done on crouch data and tested results are reported. Random push data of humanoid robot is collected and classified to see whether push lie in safer region and then tested on given proposed system. |
| first_indexed | 2024-12-16T18:44:44Z |
| format | Article |
| id | doaj.art-d4a96ee8f1d14f61a717f8e97c47d373 |
| institution | Directory Open Access Journal |
| issn | 1989-1660 1989-1660 |
| language | English |
| last_indexed | 2024-12-16T18:44:44Z |
| publishDate | 2016-12-01 |
| publisher | Universidad Internacional de La Rioja (UNIR) |
| record_format | Article |
| series | International Journal of Interactive Multimedia and Artificial Intelligence |
| spelling | doaj.art-d4a96ee8f1d14f61a717f8e97c47d3732022-12-21T22:20:53ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602016-12-0142293410.9781/ijimai.2016.426ijimai.2016.426Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-MeanAnubha ParasharApoorva ParasharSomya GoyalPush recovery is prime ability that is essential to be incorporated in the process of developing a robust humanoid robot to support bipedalism. In real environment it is very essential for humanoid robot to maintain balance. In this paper we are generating a control system and push recovery controller for humanoid robot walking. We apply different kind of pushes to humanoid robot and the algorithm that can bring a change in the walking stage to sustain walking. The simulation is done in 3D environment using Webots. This paper describes techniques for feature selection to foreshow push recovery for hip, ankle and knee joint. We train the system by K-Mean algorithm and testing is done on crouch data and tested results are reported. Random push data of humanoid robot is collected and classified to see whether push lie in safer region and then tested on given proposed system.http://www.ijimai.org/journal/node/1441BipedalClassificationHuman ActivityKmeansPush RecoveryRobotics |
| spellingShingle | Anubha Parashar Apoorva Parashar Somya Goyal Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean International Journal of Interactive Multimedia and Artificial Intelligence Bipedal Classification Human Activity Kmeans Push Recovery Robotics |
| title | Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean |
| title_full | Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean |
| title_fullStr | Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean |
| title_full_unstemmed | Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean |
| title_short | Push Recovery for Humanoid Robot in Dynamic Environment and Classifying the Data Using K-Mean |
| title_sort | push recovery for humanoid robot in dynamic environment and classifying the data using k mean |
| topic | Bipedal Classification Human Activity Kmeans Push Recovery Robotics |
| url | http://www.ijimai.org/journal/node/1441 |
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