Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot
Navigation with the specific objective can be defined by specifying desired timed trajectory. The concept of desired direction field is proposed to deal with such navigation problem. To lay down a principled discussion of the accuracy and efficiency of navigation algorithms, strictly quantitative de...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/168645 |
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doaj-1fcfc2b130a149e594e2779195e225862020-11-24T23:47:20ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/168645168645Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal RobotDunwen Wei0School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaNavigation with the specific objective can be defined by specifying desired timed trajectory. The concept of desired direction field is proposed to deal with such navigation problem. To lay down a principled discussion of the accuracy and efficiency of navigation algorithms, strictly quantitative definitions of tracking error, actuator effect, and time efficiency are established. In this paper, one vision navigation control method based on desired direction field is proposed. This proposed method uses discrete image sequences to form discrete state space, which is especially suitable for bipedal walking robots with single camera walking on a free-barrier plane surface to track the specific objective without overshoot. The shortest path method (SPM) is proposed to design such direction field with the highest time efficiency. However, one improved control method called canonical piecewise-linear function (PLF) is proposed. In order to restrain the noise disturbance from the camera sensor, the band width control method is presented to significantly decrease the error influence. The robustness and efficiency of the proposed algorithm are illustrated through a number of computer simulations considering the error from camera sensor. Simulation results show that the robustness and efficiency can be balanced by choosing the proper controlling value of band width.http://dx.doi.org/10.1155/2015/168645 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dunwen Wei |
spellingShingle |
Dunwen Wei Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot Mathematical Problems in Engineering |
author_facet |
Dunwen Wei |
author_sort |
Dunwen Wei |
title |
Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot |
title_short |
Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot |
title_full |
Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot |
title_fullStr |
Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot |
title_full_unstemmed |
Discrete-State-Based Vision Navigation Control Algorithm for One Bipedal Robot |
title_sort |
discrete-state-based vision navigation control algorithm for one bipedal robot |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2015-01-01 |
description |
Navigation with the specific objective can be defined by specifying desired timed trajectory. The concept of desired direction field is proposed to deal with such navigation problem. To lay down a principled discussion of the accuracy and efficiency of navigation algorithms, strictly quantitative definitions of tracking error, actuator effect, and time efficiency are established. In this paper, one vision navigation control method based on desired direction field is proposed. This proposed method uses discrete image sequences to form discrete state space, which is especially suitable for bipedal walking robots with single camera walking on a free-barrier plane surface to track the specific objective without overshoot. The shortest path method (SPM) is proposed to design such direction field with the highest time efficiency. However, one improved control method called canonical piecewise-linear function (PLF) is proposed. In order to restrain the noise disturbance from the camera sensor, the band width control method is presented to significantly decrease the error influence. The robustness and efficiency of the proposed algorithm are illustrated through a number of computer simulations considering the error from camera sensor. Simulation results show that the robustness and efficiency can be balanced by choosing the proper controlling value of band width. |
url |
http://dx.doi.org/10.1155/2015/168645 |
work_keys_str_mv |
AT dunwenwei discretestatebasedvisionnavigationcontrolalgorithmforonebipedalrobot |
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