Object Manipulation Control Strategy Analysis Center of Humanoid Robot

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.

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Closed loop control of walking motions with adaptive choice of directions for the iCub humanoid robot

2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) ◽

10.1109/humanoids.2017.8246873 ◽

2017 ◽

Cited By ~ 1

Author(s):

Kevin Stein ◽

Yue Hu ◽

Manuel Kudruss ◽

Maximilien Naveau ◽

Katja Mombaur

Keyword(s):

Humanoid Robot ◽

Closed Loop ◽

Closed Loop Control ◽

Loop Control ◽

Adaptive Choice

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A sketch drawing humanoid robot using image-based visual servoing

The Knowledge Engineering Review ◽

10.1017/s0269888919000146 ◽

2019 ◽

Vol 34 ◽

Author(s):

Meng-Cheng Lau ◽

John Anderson ◽

Jacky Baltes

Keyword(s):

Error Correction ◽

Visual Servoing ◽

Humanoid Robot ◽

Closed Loop ◽

Open Loop ◽

Experimental Results ◽

Drawing Process ◽

Open Loop Control ◽

Loop Control ◽

Error Correction Capability

Abstract This paper presents our sketch drawing artist humanoid robot research. One of the limitations of the existing artist humanoid robot is the lack of feedback on the error that occurs during the drawing process. The contribution of this research is the development of a humanoid robot artist with drawing error correction capability. Based on our previous work with open-loop control pen-and-ink humanoid robot artist, we have implemented a closed-loop visual servoing approach to address this problem. Our experimental results show that this approach is sufficient to correct drawing errors that occur due to mechanical limitation of a robot.

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Rate-Based End-to End Closed Loop Control for ABR Traffic Management

Elkawnie ◽

10.22373/ekw.v3i1.797 ◽

2017 ◽

Vol 3 (1) ◽

Author(s):

Elvina Djalal

Keyword(s):

Congestion Control ◽

Traffic Management ◽

Closed Loop ◽

Destination Node ◽

Closed Loop Control ◽

Negative Consequences ◽

Bit Rate ◽

Loop Control ◽

Feedback Information ◽

End To End

ATM has one common feature which guarantees its success, namely the possibility to transport any ATM service, irrespective of its characteristics such as the bit rate, its quality requirements or its bursty nature. ATM also has high flexibility in allocate the bandwidth, and thus allows more calls to enter the network. Unfortunately, this advantage has a negative consequences. ATM presents congestion problems in the network as well as in the end terminals. This research describes about congestion control mechanism that will be applied for Available Bit Rate (ABR) Service in ATM networks, namely, the Rate-Based Congestion Control Scheme. This method supports end-to-end closed-loop control and has been indentified as the most appropriate for the support of this service by ATM Forum. ABR Service is a new ATM Service category. This kind of service automatically and dynamically allocates the available bandwidth to users by controlling the traffic flow based on feedback information. The source increases or decreases the source rate of cells transmission based on the information in the feedback Resource Management (RM) cell it receives. This method minimizes the duties of intermediate nodes and the destination node, so it is expected the source will receive the feedback information faster.

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The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000084 ◽

2012 ◽

Vol 220 (1) ◽

pp. 3-9 ◽

Cited By ~ 4

Author(s):

Sandra Sülzenbrück

Keyword(s):

Empirical Research ◽

Visual Feedback ◽

Closed Loop ◽

Motor Planning ◽

Visual Input ◽

Closed Loop Control ◽

Loop Control ◽

Feedback Type ◽

Effective Use ◽

The Impact

For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

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