scholarly journals Synthesis of Leg-Mechanisms of Biped Walking Machines : Part I, Synthesis of Ankle-Path-Generator

1985 ◽  
Vol 28 (237) ◽  
pp. 537-543 ◽  
Author(s):  
Hiroaki FUNABASHI ◽  
Kiyoshi OGAWA ◽  
Yasuo GOTOH ◽  
Fumio KOJIMA
1985 ◽  
Vol 28 (237) ◽  
pp. 544-549 ◽  
Author(s):  
Hiroaki FUNABASHI ◽  
Kiyoshi OGAWA ◽  
Iwao HONDA ◽  
Nobuyuki IWATSUKI

2006 ◽  
Vol 3 (3) ◽  
pp. 237-243
Author(s):  
N. M. Mayer ◽  
K. Masui ◽  
M. Browne ◽  
M. Asada ◽  
M. Ogino

We present simulations of different types of biped walking machines that are stabilized in the lateral direction by adding a gyro. The simulations show that, in principle, it is indeed possible to stabilise biped walking machines. Examples presented in this work include a three-dimensional version of the simplest walking model, which is based on earlier investigations, and an actuated biped robot. Here, the gyro is used as a reaction wheel. Finally, a rotor–brake combination is outlined that was used in an artistic biped robot at the Aichi World Exhibition.


Author(s):  
Bo-Hong Lin ◽  
Yu-Hsun Chen

Abstract A walking machine is equipped with leg mechanisms so that it can move across uneven ground. In this study, feasible leg mechanisms for walking machines are generated through the Creative Mechanism Design Methodology, including the steps of existing designs analysis, generalization, specialization, and particularization. One design of a linkage mechanism with eight links and ten joints is selected at the first step. Then, according to the concepts of generalization and specialization, one of the kinematic generalized chains with the same number of links and joints is chosen, and five feasible specialized chains are generated by assigning the frame, thigh link, calf link, and the crank, sequentially. Moreover, by applying feature encoding, two of the feasible designs are obtained by removing the results that cannot fit the motion characteristics, and the corresponding mechanism sketches are presented through particularization. One of the innovation designs is selected, and the dimensional synthesis is made through the techniques in geometric constraint programming. Finally, the motion characteristics are determined to verify its feasibility through theorical determination and computer simulation. The analysis results can be used to explore kinetics and mechanism advantage.


2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199295
Author(s):  
Ziqiang Zhang ◽  
Qi Yang ◽  
Xingkun Liu ◽  
Chuanzhong Zhang ◽  
Jinnong Liao

One degree-of-freedom (DOF) jumping leg has the advantages of simple control and high stiffness, and it has been widely used in bioinspired jumping robots. Compared with four-bar jumping leg, six-bar jumping leg mechanism can make the robot achieve more abundant motion rules. However, the differences among different configurations have not been analyzed, and the choice of configurations lacks basis. In this study, five Watt-type six-bar jumping leg mechanisms were selected as research objects according to the different selection of equivalent tibia, femur and trunk link, and a method for determining the dimension of the jumping leg was proposed based on the movement law of jumping leg of locust in take-off phase. On this basis, kinematics indices (sensitivity of take-off direction angle and trunk attitude angle), dynamics indices (velocity loss, acceleration fluctuation, and mean and variance of total inertial moment) and structure index (distribution of center of mass) were established, and the differences of different configurations were compared and analyzed in detail. Finally, according to the principal component analysis method, the optimal selection method for different configurations was proposed. This study provides a reference for the design of one DOF bioinspired mechanism.


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.


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