Artificial Intelligence has grown significantly more complex and powerful than ever. Numerous top-tier techno companies compete strictly with high effort that enhances the quality of life and is making attempts to put...
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ISBN:
(数字)9798350315714
ISBN:
(纸本)9798350315714;9798350315721
Artificial Intelligence has grown significantly more complex and powerful than ever. Numerous top-tier techno companies compete strictly with high effort that enhances the quality of life and is making attempts to put their hands on this latest technology. Recreational activities play a significant role in every man's life, and thus, applying technology to this domain motivates development and paves the path to finding new values. AI has long been used as the engine for computation-heavy tasks, such as strategically demanding games like chess. Though the complexity of AI chess engines has reached its peak in recent years, direct face-to-face interaction between the players seems more appealing to the mate checkers. Compared to tapping on the screen, it is many times more attractive that chess players can physically go against a real-life robot in a competitive match. Such interaction would be further humanoid and further comfortable. This paper's main topic is constructing a physically capable Chess-Playing system powered by AI to compete against the player. The foundation of the Chess robot is based on the combination of mechanical mechanisms, AI engine, and 3D computervision. The system is constructed with the model Reactor X150 robot, a 5-DOF ROS-controlled Mechanical Arm made by Troussen robotics. The powerful open-source chess engine stockfish, is the brain for computing the chess moves. The Norm algorithm detects the player's move through an attached camera by analyzing the differences between the before and after images. The robot makes the game much more interactive and builds a link between the human and computer systems.
This paper presents an autonomous exploration system using a robot equipped with a vision sensor but no range sensor. The fully automatic exploration system operating on a mobile robot determines the next motion in th...
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Human's everyday environment is an open environment in which objects with new shapes, colors or textures frequently appear. Enabling robots to deal with such environments and to manipulate those objects raises a d...
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ISBN:
(纸本)9781509067244
Human's everyday environment is an open environment in which objects with new shapes, colors or textures frequently appear. Enabling robots to deal with such environments and to manipulate those objects raises a difficult challenge: how to recognize an object ? How to distinguish it from the background ? An approach is proposed here to allow the robot to find this segmentation on its own. It relies on an active exploration of the environment aimed at identifying features of things that move after a contact with robot's end-effector. The only assumption made is that objects of interest are solid objects that the robot can move. The proposed approach can thus be applied without modifications to a large range of environments, as shown by the experiments performed by the robot.
Numerous loss of lives is seen each year and the sum is consistently expanding because of destruction, fiasco, cataclysm and so forth these incorporate natural and man-made fiascoes. To counter this we have structured...
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The three dimensional information about the environment is essential for robot movement and object inspection in robotic applications. One method of obtaining depth information is by using a stereo vision system. In t...
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This paper proposes a robust video watermarking for H.264/AVC using block polarity and AC correlation schemes. In the proposed method, the intra frames are used for watermarking embedding and protection. Block polarit...
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computervision based autonomous navigation scheme for pin-point landing of robotic spacecraft on asteroids is considered. Due to the long communication delay and complicated dynamic environment close to asteroids, tr...
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ISBN:
(纸本)9783540885160
computervision based autonomous navigation scheme for pin-point landing of robotic spacecraft on asteroids is considered. Due to the long communication delay and complicated dynamic environment close to asteroids, traditional spacecraft navigation and control using the deep space network (DSN) is not suitable for the precise and safe landing of robotic spacecraft on asteroids. It is necessary to develop new generation autonomous navigation algorithms for future asteroid landing missions. To meet this requirement, this paper presents computervision based autonomous relative navigation (VARN) algorithm. Firstly, architecture and function of VARN is introduced;secondly, feature detection and tracking algorithm is given out;then, VARN basing on Levenberg-Marquardt (LM) iteration is defined in detail. Finally, the validity of the proposed navigation scheme is confirmed by computer simulation.
The identification of bloodstains in color images is critical in some accident investigation cases. A suspected bloodstain segmentation method was proposed in this study. The algorithm transforms the RGB to the YC gCr...
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