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System for percutaneous delivery of treatment with a fluoroscopically-guided robot

System for percutaneous delivery of treatment with a fluoros...

引用

Proceedings of the 1997 1st Joint conference computer vision, Virtual Reality and robotics in Medicine and Medical robotics and computer-Assisted Surgery, CVRMed-MRCAS'97

作者： Schreiner, S. Anderson, J.H. Taylor, R.H. Funda, J. Bzostek, A. Barnes, A.C.

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The Development of an Intelligent robot Arm Playing chess with Human-robot Interaction 1

The Development of an Intelligent Robot Arm Playing chess wi...

引用

1st International conference on Health Science and Technology (ICHst)

作者： Thi Thoa Mac Trinh-Nhan Dam V. Thanh Tri Nguyen Ly Hoang Hiep Tien-Duc Nguyen Hanoi Univ Sci & Technol Sch Mech Engn Dept Mechatron Hanoi Vietnam

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 computer vision. 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.

关键词： component formatting style styling insert

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Mobile robot exploration via pseudo range model

Mobile robot exploration via pseudo range model

引用

International Association for computer and Information Science/JNU International conference on computers, Networks, Systems and Industrial Engineering

作者： Kim, Ryun Seok Choi, Hyukdoo Kim, Euntai Park, Chang-Woo Computational Intelligence Lab. Yonsei university Seoul Korea Republic of Korea Electronics Technology Institute Bucheon-siGyeonggi-do Korea Republic of

ISBN: (纸本)9780769544175

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 the environment. We extract ceiling boundaries from images. Then we use the pseudo range model that converts the ceiling boundary to range information. This paper proposes the vision based exploration system and presents experimental results. © 2011 IEEE.

关键词： Ceilings

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Segmenting objects through an autonomous agnostic exploration conducted by a robot 1

Segmenting objects through an autonomous agnostic exploratio...

引用

1st IEEE International conference on robotic Computing (IRC)

作者： Le Goff, Leni K. Mukhtar, Ghanim Le Fur, Pierre-Henri Doncieux, stephane Univ Paris 06 Sorbonne Univ ISIR UPMCUMR 7222 Paris France ISIR CNRS UMR 7222 Paris France

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.

关键词： Autonomous exploration Developmental robotics Interactive Perception Learning computer vision

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RoboFI: Autonomous Path Follower robot for Human Body Detection and Geolocalization for Search and Rescue Missions using computer vision and IoT 1

RoboFI: Autonomous Path Follower Robot for Human Body Detect...

引用

1st International conference on Advances in Science, Engineering and robotics Technology, ICASERT 2019

作者： Imteaj, Ahmed Isfar Jubair Chowdhury, M.A. Farshid, Mohammad Shahid, Abdur R Florida International University School of Computing and Information Sciences MiamiFL33199 United States International Islamic University Department of Computer Science and Engineering Chittagong Bangladesh

ISBN: (纸本)9781728134451

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 a rescue robot that is autonomous, it pursues track way by dint of 3 ultrasonic sensors in the front. For the processing work Raspberry Pi Model B is utilized which incorporates a grouping of single board processors. The smaller card size is handful as we are utilizing 4wd Car Chassis and a motor controller to drive it through. The robot features computer vision and raspberry pi camera module is used to help with the vision. We trained the camera utilizing algorithm to empower it identify movement, consequently after detecting movement the robot utilizes PIR to detect and affirm human presence. When human life is recognized in a destructed place the web application helps us to observe the live streaming of that found human and the closest environment. The coordination of GPS Module gives us a chance to see the area of where rescue activity is occurring. The web application that is designed by us likewise gives us a chance to do as such. After rescuing the detected individual, it goes on its merry way in repeating the flow of work that is assigned to it helping achieve maximum amount of success and lives saved. The reality to stun is, all these are incorporated in a solitary car chassis and the expense behind the work is insignificant. The reason is utilizing raspberry pi and our work to make a pi camera module ready to recognize movement by help of raspberry pi while incredible and expensive processors are required by and large. © 2019 IEEE.

关键词： Collision avoidance

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Range estimation for robot arm applications using image segmentation and curve fitting tool

Range estimation for robot arm applications using image segm...

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1st International conference on Electrical, Control and computer Engineering 2011, InECCE 2011

作者： Kheng, Eng Swee Abu Hassan, Anwar Hasni Ranjbaran, Ali Siong, Ting Shyue School of Electrical and Electronic Engineering Universiti Sains Malaysia Engineering Campus 14300 Nibong Tebal Seberang Perai Selatan Pulau Pinang Malaysia

ISBN: (纸本)9781612842288

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 this paper, a pair of camera is used as stereo vision module to find the depth of the object. The stereo matching algorithm that involved image segmentation, centroid computation and disparity mapping have been discuss in this paper. The image segmentation is performed by using edge detection and basic morphology, while the disparity is obtained by finding the centroid coordinates of two images. The curve fitting tool is used for range estimation. The images of the object have been well segmented and the 3D coordinates of the object were obtained for the robot arm applications. © 2011 IEEE.

关键词： Image segmentation

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Minimally-invasive 3D data registration protocol for computer and robot-assisted total knee arthroplasty

Minimally-invasive 3D data registration protocol for compute...

引用

Proceedings of the 1997 1st Joint conference computer vision, Virtual Reality and robotics in Medicine and Medical robotics and computer-Assisted Surgery, CVRMed-MRCAS'97

作者： LaPalombara, P.F. Fadda, M. Martelli, S. Nofrini, L. Marcacci, M.

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Block polarity and AC correlation-based robust video watermarking for H.264/AVC

Block polarity and AC correlation-based robust video waterma...

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1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Hu, Wu-Chih Yang, Ching-Yu Huang, Deng-Yuan Liao, Seung-Yuan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Electrical Engineering Dayeh University Changhua Taiwan

ISBN: (纸本)9780769545813

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 polarity is obtained using the nonzero quantized DC coefficienth 4 × 4 integer DCT block. Then, the selective block polarity of DCT block is used to perform the Intra prediction modes for 4 × 4 luminance block. AC correlation is obtained by adjusting the relative between the AC coefficients of these DCT blocks. Finally, one watermark bit is embedded into each processed DCT block. Experimental results show that the proposed method is robust to the attacks of cropping, noise addition, brightness, wind effect, and cloud effect. © 2011 IEEE.

关键词： Luminance

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computer vision Based Autonomous Navigation for Pin-Point Landing robotic Spacecraft on Asteroids

引用

1st International conference Intelligent robotics and Applications

作者： Li, Shuang Nanjing Univ Aeronaut & Astronaut Coll Astronaut Nanjing 210016 Peoples R China

ISBN: (纸本)9783540885160

computer vision 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 computer vision 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.

关键词： pinpoint landing autonomous navigation computer vision

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Bloodstain segmentation in color images

Bloodstain segmentation in color images

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Wang, Ying-Wei Huang, Deng-Yuan Hu, Wu-Chih Ho, Chun-Ying Department of Marketing and Logistics Management National Penghu University of Science and Technology Penghu Taiwan Department of Electrical Engineering Dayeh University Changhua Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan

ISBN: (纸本)9780769545813

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 color space after the image undergoes color histogram equalization. Determination of the decision thresholds (Cg, C r) is based on the color distribution of the sample images in C g-Cr plane. To accelerate bloodstain pixel detection, the transformed thresholds are used (Cg, Cr). After the bloodstain pixels are detected the fast 8-connected component labeling method is to formulate the clusters. The algorithm was tested by using the 75 images from accident scenes. The results show that su spected bloodstains can be detected successfully, and thus that this approach can be used as the basis for bloodstain identification in color images. © 2011 IEEE.

关键词： Pixels

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