Design and Research of All-Terrain Wheel-Legged Robot.

complex terrain kinematic mode obstacle-crossing analysis wheel-legged robot

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
09 Aug 2021
Historique:
received: 05 07 2021
revised: 06 08 2021
accepted: 07 08 2021
entrez: 28 8 2021
pubmed: 29 8 2021
medline: 1 9 2021
Statut: epublish

Résumé

Aiming at the crossing problem of complex terrain, to further improve the ability of obstacles crossing, this paper designs and develops an all-terrain wheel-legged hybrid robot (WLHR) with strong adaptability to the environment. According to the operation requirements in different road conditions, the robot adopts a wheel and leg compound structure, which can realize the transformation of wheel movement and leg movement to adjust its motion state. The straight and turning process of the robot is analyzed theoretically, the kinematics model is established and solved, and obstacle crossing analysis is carried out by establishing the mathematical model of front wheel obstacle crossing when the robot meets obstacles. To verify the analysis results, ADAMS software is used to simulate and analyze the process of robot running on the complex road surface and obstacles-crossing. Finally, a theoretical prototype is made to verify its feasibility. Theoretical analysis and experimental results show that the designed WLHR is feasible and has the stability of the wheeled mechanism and the higher obstacle crossing ability of the legged mechanism so that the robot can adapt to a variety of complex road conditions.

Identifiants

pubmed: 34450814
pii: s21165367
doi: 10.3390/s21165367
pmc: PMC8401446
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Natural Science Foundation of China
ID : BIA200191
Organisme : the National Natural Science Foundation of China
ID : 51575005

Références

Sensors (Basel). 2020 Oct 01;20(19):
pubmed: 33019529

Auteurs

Jianwei Zhao (J)

School of Mechanical Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100089, China.

Tao Han (T)

School of Mechanical Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100089, China.

Shouzhong Wang (S)

Beijing Special Engineering and Design Institute, Beijing 100028, China.

Chengxiang Liu (C)

School of Mechanical Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100089, China.

Jianhua Fang (J)

School of Mechanical Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100089, China.

Shengyi Liu (S)

School of Mechanical Electronic & Information Engineering, China University of Mining and Technology-Beijing, Beijing 100089, China.

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Classifications MeSH