Humanoid Robot Learning How to track and grip
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 11, Issue 7
Abstract
Interaction with its environment is a key requisite for designing a humanoid robot especially to have the ability to recognize and manipulate unknown objects and it is crucial to successfully work in natural environments. However visual object recognition still remains a challenging problem. To get the robot capable of identifying the geometric shapes and colors of the objects, this paper proposes new approach using neuro Zernike moments. Furthermore, the paper proposes a natural language understanding system, where the robot will be able to effectively communicate with human through a dialogue developed in Arabic language. The developed dialogue and a dynamic object model are used for learning semantic categories, object descriptions, and new words acquisition for object learning. In this paper, a robot will be developed to interact with the users performing some specified actions. Moreover, integration between the proposed vision and natural language understanding systems has been presented. Finally, a hardware circuit is designed and Q-learning technique is presented assisting the robot to track and grip objects. Intensive experiments have been conducted indoor to address the validity of the complete system. Qualitative comparison among different techniques is accomplished. The achieved results show that the overall system performance of the proposed system outperforms in terms of accuracy and response time.
Authors and Affiliations
Rasha F. A. Mostafa, El Sayed M. Saad, Medhat H. Awadalla, Hosam Eldin I. Ali
MULTIPLE-ACCESS TECHNOLOGY OF CHOICE IN 3GPP LTE
Third-Generation Partnership Project (3GPP) standardizes an Evolved UMTS Terrestrial Radio Access Network (EUTRAN)as air interface in its release 8 LTE. Orthogonal Frequency Division Multiple Access(OFDMA) and Single Car...
Major Energy Efficient Routing Schemes in Wireless Sensor Networks: Survey and Idea
Sensing the environment without human intervention is carried out with Wireless Sensor Networks. Thus WSNs have gained impetus in every field as applicable to various sensing applications. As the sensor nodes are very mi...
To Control Electrical MCBs using Hand Gesture Recognition
There has been growing interest in development of new techniques and methods for Human-Computer Interaction (HCI). Gesture Recognition is one of the important areas of this technology. Gesture Recognition means interfaci...
Cloud Computing: An Internet Based Computing
Present paper focuses on the overview of Cloud Computing. Cloud Computing is an Internet-based computing; where resources, software and information are provided to computers on-demand, like a public utility; is emerging...
Advance Neighbor Embedding for Image Super Resolution
This paper presents the Advance Neighbor embedding (ANE) method for image super resolution. The assumption of the neighbor-embedding (NE) algorithm for single-image super-resolution Reconstruction is that the feature spa...