scholarly journals Combining gait optimization with passive system to increase the energy efficiency of a humanoid robot walking movement

2015 ◽  
Author(s):  
Ana I. Pereira ◽  
José Lima ◽  
Paulo Costa
2021 ◽  
Vol 125 ◽  
pp. 103646
Author(s):  
Zepeng Li ◽  
Chengwen Wang ◽  
Long Quan ◽  
Yunxiao Hao ◽  
Lei Ge ◽  
...  

2018 ◽  
Vol 40 (4) ◽  
pp. 407-424
Author(s):  
Tran Thien Huan ◽  
Ho Pham Huy Anh

This paper proposes a new way to optimize the biped walking gait design for biped robots that permits stable and robust stepping with pre-set foot lifting magnitude. The new meta-heuristic CFO-Central Force Optimization algorithm is initiatively applied to optimize the biped gait parameters as to ensure to keep biped robot walking robustly and steadily. The efficiency of the proposed method is compared with the GA-Genetic Algorithm, PSO-Particle Swarm Optimization and Modified Differential Evolution algorithm (MDE). The simulated and experimental results carried on the prototype small-sized humanoid robot demonstrate that the novel meta-heuristic CFO algorithm offers an efficient and stable walking gait for biped robots with respect to a pre-set of foot-lift height value.


2020 ◽  
Vol 10 (20) ◽  
pp. 7287
Author(s):  
Jihun Kim ◽  
Jaeha Yang ◽  
Seung Tae Yang ◽  
Yonghwan Oh ◽  
Giuk Lee

Although previous research has improved the energy efficiency of humanoid robots to increase mobility, no study has considered the offset between hip joints to this end. Here, we optimized the offsets of hip joints in humanoid robots via the Taguchi method to maximize energy efficiency. During optimization, the offsets between hip joints were selected as control factors, and the sum of the root-mean-square power consumption from three actuated hip joints was set as the objective function. We analyzed the power consumption of a humanoid robot model implemented in physics simulation software. As the Taguchi method was originally devised for robust optimization, we selected turning, forward, backward, and sideways walking motions as noise factors. Through two optimization stages, we obtained near-optimal results for the humanoid hip joint offsets. We validated the results by comparing the root-mean-square (RMS) power consumption of the original and optimized humanoid models, finding that the RMS power consumption was reduced by more than 25% in the target motions. We explored the reason for the reduction of power consumption through bio-inspired analysis from human gait mechanics. As the distance between the left and right hip joints in the frontal plane became narrower, the amplitude of the sway motion of the upper body was reduced. We found that the reduced sway motion of the upper body of the optimized joint configuration was effective in improving energy efficiency, similar to the influence of the pathway of the body’s center of gravity (COG) on human walking efficiency.


2021 ◽  
Vol 14 ◽  
Author(s):  
Chongben Tao ◽  
Jie Xue ◽  
Zufeng Zhang ◽  
Feng Cao ◽  
Chunguang Li ◽  
...  

To improve the fast and stable walking ability of a humanoid robot, this paper proposes a gait optimization method based on a parallel comprehensive learning particle swarm optimizer (PCLPSO). Firstly, the key parameters affecting the walking gait of the humanoid robot are selected based on the natural zero-moment point trajectory planning method. Secondly, by changing the slave group structure of the PCLPSO algorithm, the gait training task is decomposed, and a parallel distributed multi-robot gait training environment based on RoboCup3D is built to automatically optimize the speed and stability of bipedal robot walking. Finally, a layered learning approach is used to optimize the turning ability of the humanoid robot. The experimental results show that the PCLPSO algorithm achieves a quickly optimal solution, and the humanoid robot optimized possesses a fast and steady gait and flexible steering ability.


2018 ◽  
Vol 6 (1) ◽  
pp. 35-61 ◽  
Author(s):  
Dimas Pristovani Riananda ◽  
Ardik Wijayanto ◽  
Ali Husein Alasiry ◽  
A. Subhan Khalilullah

Synthetic grass surface is a new rule in international robot soccer competition (RoboCup). The main issue in the development of the RoboCup competition today is about how to make a humanoid robot walk above the field of synthetic grass. Because of that, the humanoid robot needs a system that can be implemented into the walking algorithm. This paper describes how to maintain the stability of humanoid robot called EROS by using walking trajectory algorithm without a control system. The establishment of the walking trajectory system is combined with a process of landing optimization using deceleration and heel-strikes gait optimization. This system has been implemented into a humanoid robot with 52 cm of height and walking on synthetic grass with different speeds. By adding optimization, the robot walks more stable from 32% to 80% of stability. In the next research, the control system will be added to improve the stability.


Author(s):  
Thomas Howard ◽  
Laurent Berviller ◽  
Patrick Zattarin ◽  
Gabriel Abba

The objective of this work is to design and to make a part of a humanoid robot, named HYDROÏD. The keynote is a development of a self-sufficient robot by minimizing energy inputs required for its activity. Currently humanoid robots have a power/weight ratio lower than human, as a consequence a limited autonomy. In this work we propose an innovative knee structure in order to reduce friction, and as a result, increase energy efficiency. In classic knee architectures, the rolling elements are balls in bearings with relatively small curvature radii. Here, the idea is to increase this curvature radius to minimize rolling friction. This new joint is realized by rolling between two pieces (femur and tibia) linked by ligaments, and thus get an architecture similar to that of a human knee. As such, the contact is made by rolling movement without sliding between two cylindrical surfaces with circular section, and for which we need find an innovative actuation mechanism. To take advantage of energy savings achieved, we must optimize the mass distribution so as to achieve the smallest global inertia of the mechanical system. In this work we propose various technological solutions for actuation mechanisms. A comparative study is performed between the different technological choices for actuator (cylinder or rotary actuator) and for transmission (connecting crank arm, belt, gearing, etc.). Of course, this new structure must be in accordance with specifications for the knee about size and weight, as well as amplitude and speed rotation of joint. In this work, our choice is to use electric actuators. These different solutions are evaluated according several criteria such as inertial characteristic (mass and inertia matrix), overall size, energy efficiency and the complexity of the system (number of used pieces). Initially, solutions with pulley and belt or rotary actuators and cables seem to have best performance those other systems with connecting crank arm or gearing. Results should be confirmed from a more accurate determination of transmission efficiency. For prospect, the future works will be about optimization of pieces geometry, and in particular as study the gain due to using curvilinear surfaces with elliptic section. Calculation of stresses in the materials by finite elements will provide more information about optimization of dimensions and shapes. Ultimately, energetic gains obtained with this architecture should be confirm through experimental tests.


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