Closed-Loop Push Recovery for an Inexpensive Humanoid Robot

Author(s):  
Amirhossein Hosseinmemar ◽  
Jacky Baltes ◽  
John Anderson ◽  
Meng Cheng Lau ◽  
Chi Fung Lun ◽  
...  
Author(s):  
Milad Shafiee-Ashtiani ◽  
Aghil Yousefi-Koma ◽  
Reihaneh Mirjalili ◽  
Hessam Maleki ◽  
Mojtaba Karimi

2011 ◽  
Vol 267 ◽  
pp. 904-908
Author(s):  
Qin Jun Du ◽  
Le Ping Li ◽  
Bin Dai

This document The visual is the main senses of human to capture the information, is also considered the most important apperceive component of the robot. Images information obtained by the visual sensor as a feedback, which can be constructed robot position closed loop control, which is visual servoing. In the visual servoing, the purpose of images automatic acquisition and analysis is to achieve humanoid robot control, based on the machine vision principle, the humanoid robot accomplish the feedback information in the shortest possible time, which is obtained from the image direct feedback and fast processing, these constitute a closed-loop control of the robot's positionexplains and demonstrates how to prepare your camera-ready manuscript for Trans Tech Publications. The best is to read these instructions and follow the outline of this text. The text area for your manuscript must be 17 cm wide and 25 cm high (6.7 and 9.8 inches, resp.). Do not place any text outside this area. Use good quality, white paper of approximately 21 x 29 cm or 8 x 11 inches (please do not change the document setting from A4 to letter). Your manuscript will be reduced by approximately 20% by the publisher. Please keep this in mind when designing your figures and tables etc.


Author(s):  
E. Spyrakos-Papastavridis ◽  
G. A. Medrano-Cerda ◽  
N. G. Tsagarakis ◽  
J. S. Dai ◽  
D. G. Caldwell

2013 ◽  
Vol 10 (03) ◽  
pp. 1350022 ◽  
Author(s):  
ALBERTUS HENDRAWAN ADIWAHONO ◽  
CHEE-MENG CHEW ◽  
BINGBING LIU

Push recovery is an important capability for a biped to safely maneuver in a real dynamic environment. In this paper, a generalized push recovery scheme to handle pushes from any direction that may occur at any walking phase is developed. Using the concept of walking phase modification, a series of systematic push recovery scheme that takes into account the severity of the push is presented. The result is that a bipedal robot could adapt to pushes according to the magnitude of disturbance and determine the best course of action. A number of push recovery experiments with different walking phases and push directions have been carried out using a 12-DOF humanoid robot model in dynamic simulations. The versatility and potential of the overall scheme is also demonstrated with the bipedal robot balancing on an accelerating cart.


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