Gait planning for effective rehabilitation - From gait study to application in clinical rehabilitation

Author(s):  
H. B. Lim ◽  
K. H. Hoon ◽  
Y. C. Soh ◽  
Adela Tow ◽  
K. H. Low
Keyword(s):  
2011 ◽  
Vol 480-481 ◽  
pp. 1469-1474
Author(s):  
Hong Jun Song ◽  
Xue Wen Rong ◽  
Yi Bin Li ◽  
Jiu Hong Ruan

The paper presents a dedicated kinematics-based simulation system for quadruped robot gait study, named as TQRSS. The system employs Ginac’s symbolic computation technology, making it possible on-line planning and help concentrate on robot gait planning and parameter adjusting. The Taishan quadruped robot’s kinematics analysis is also presented.


2020 ◽  
Author(s):  
Abhishek Kumar Kashyap ◽  
Anish Pandey ◽  
Animesh Chhotray ◽  
Dayal R. Parhi
Keyword(s):  

2020 ◽  
Vol 17 (6) ◽  
pp. 172988142097634
Author(s):  
Huan Tran Thien ◽  
Cao Van Kien ◽  
Ho Pham Huy Anh

This article proposes a new stable biped walking pattern generator with preset step-length value, optimized by multi-objective JAYA algorithm. The biped robot is modeled as a kinetic chain of 11 links connected by 10 joints. The inverse kinematics of the biped is applied to derive the specified biped hip and feet positions. The two objectives related to the biped walking stability and the biped to follow the preset step-length magnitude have been fully investigated and Pareto optimal front of solutions has been acquired. To demonstrate the effectiveness and superiority of proposed multi-objective JAYA, the results are compared to those of MO-PSO and MO-NSGA-2 optimization approaches. The simulation and experiment results investigated over the real small-scaled biped HUBOT-4 assert that the multi-objective JAYA technique ensures an outperforming effective and stable gait planning and walking for biped with accurate preset step-length value.


Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4911
Author(s):  
Qian Hao ◽  
Zhaoba Wang ◽  
Junzheng Wang ◽  
Guangrong Chen

Stability is a prerequisite for legged robots to execute tasks and traverse rough terrains. To guarantee the stability of quadruped locomotion and improve the terrain adaptability of quadruped robots, a stability-guaranteed and high terrain adaptability static gait for quadruped robots is addressed. Firstly, three chosen stability-guaranteed static gaits: intermittent gait 1&2 and coordinated gait are investigated. In addition, then the static gait: intermittent gait 1, which is with the biggest stability margin, is chosen to do a further research about quadruped robots walking on rough terrains. Secondly, a position/force based impedance control is employed to achieve a compliant behavior of quadruped robots on rough terrains. Thirdly, an exploratory gait planning method on uneven terrains with touch sensing and an attitude-position adjustment strategy with terrain estimation are proposed to improve the terrain adaptability of quadruped robots. Finally, the proposed methods are validated by simulations.


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