The average speed of motion and optimal power consumption in biped robots. (2019)
- Record Type:
- Journal Article
- Title:
- The average speed of motion and optimal power consumption in biped robots. (2019)
- Main Title:
- The average speed of motion and optimal power consumption in biped robots
- Authors:
- Shams Esfanabadi, Vida
Rostami, Mostafa
Rahmati, Seyed Mohammadali
Baltes, Jacky
Sadeghnejad, Soroush - Abstract:
- Abstract: One of the issues that have garnered little attention, but that is nevertheless important for developing practical robots, is optimal walking conditions like power consumption during walking. The main contribution of this research is to prepare a correct walking pattern for humans who have a problem with their walking and also study the effect of average motion speed on optimal power consumption. In this study, we firstly optimize the stability and minimize the power consumption of the robot during the single support phase using parameter optimization. Our approach is based on the well-known Zero Moment Point method to calculate the stability of the proposed biped robot. Secondly, we performed experiments on healthy male, age 29 years, to analyze human walking by placing 28 markers, attached to anatomical positions and two power plates for a distance of more than one gait cycle at an average speed of 1.23 ± 0.1 m s −1 validate our results for motion analysis of correct walking ability. Our model was continuously validated by comparing the results of our empirical evaluation against the prediction of our model. The errors between experimental test and our prediction were about 4%–11% for the joint trajectories and about 0.2%–0.5% for the ground reaction forces which is acceptable for our prediction. Due to the presented model and optimized issue and predicted path, the robot can move like a person in a way that has maximum stability along with the minimum powerAbstract: One of the issues that have garnered little attention, but that is nevertheless important for developing practical robots, is optimal walking conditions like power consumption during walking. The main contribution of this research is to prepare a correct walking pattern for humans who have a problem with their walking and also study the effect of average motion speed on optimal power consumption. In this study, we firstly optimize the stability and minimize the power consumption of the robot during the single support phase using parameter optimization. Our approach is based on the well-known Zero Moment Point method to calculate the stability of the proposed biped robot. Secondly, we performed experiments on healthy male, age 29 years, to analyze human walking by placing 28 markers, attached to anatomical positions and two power plates for a distance of more than one gait cycle at an average speed of 1.23 ± 0.1 m s −1 validate our results for motion analysis of correct walking ability. Our model was continuously validated by comparing the results of our empirical evaluation against the prediction of our model. The errors between experimental test and our prediction were about 4%–11% for the joint trajectories and about 0.2%–0.5% for the ground reaction forces which is acceptable for our prediction. Due to the presented model and optimized issue and predicted path, the robot can move like a person in a way that has maximum stability along with the minimum power consumption. Finally, the robot was able to walk like a specific person that we considered. This study is a case study and also can be generalized to all samples and can perform these procedures to another person's with different features. … (more)
- Is Part Of:
- Knowledge engineering review. Volume 34(2019)
- Journal:
- Knowledge engineering review
- Issue:
- Volume 34(2019)
- Issue Display:
- Volume 34, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 34
- Issue:
- 1
- Issue Sort Value:
- 2019-0034-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019
- Subjects:
- Expert systems (Computer science) -- Periodicals
006.33 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=KER ↗
- DOI:
- 10.1017/S0269888919000201 ↗
- Languages:
- English
- ISSNs:
- 0269-8889
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 14901.xml