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共 476 条记录，以下是411-420 订阅

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An Approach for Object Picking using Correlation analysis and robotic Manipulation

An Approach for Object Picking using Correlation analysis an...

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International conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： S. Pradeep Asha Rani Vijander Singh Shivangi Agarwal University of Delhi Delhi Instrumentation and Control Engineering Division Netaji Subhas Institute of Technology Dwarka New Delhi

the aim of the present work is to pick and place an object with the help of robotic manipulator using computer vision. Real time object detection is achieved using a camera to capture the image in the region of interest (ROI). 2-D correlation between the object and captured image, along with image processing techniques, locates the object position. the pixel coordinates are then converted to real time distance coordinates. the object location is conveyed to the robotic arm with the help of software instructions and required operation of pick/place is performed. the object is successfully located and grabbed by the robotic arm, provided the relative position of the robotic arm and the camera is fixed. the method uses two-dimensional image analysis in place of three-dimensional object detecting techniques. Hence the proposed algorithm is simple, requires less memory space, does not require any filter, reduces the instruction set and has high accuracy.

关键词： robot kinematics Cameras robot vision systems Correlation Object detection Manipulators

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A vision based human robot interface for robotic walkthroughs in a biotech laboratory

A vision based human robot interface for robotic walkthrough...

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ACM/IEEE International conference on Human-robot Interaction (HRI)

作者： Martin Wojtczyk Giorgio Panin Claus Lenz thorsten Röder Suraj Nair Erwin Roth Alois Knoll Rüdiger Heidemann Klaus Joeris Chun Zhang Mark Burnett Tom Monica Department of Informatics VI Robotics and Embedded Systems Technische Universität München Garching bei Munchen Germany Global Biological Development Bayer HealthCare-Pharmaceuticals Berkeley CA USA

Both robots and Personal computers established new markets about 30 years ago and were enabling factors in Automation and Information Technology. However, while you can see Personal computers in almost every home nowadays, the domain of robots in general still is mostly restricted to industrial automation. Due to the physical impact of robots, a safe design is essential, which most robots still lack of and therefore prevent their application for personal use, although a slow change can be noticed by the introduction of dedicated robots for specific tasks, which can be classified as service robots. Moreover, as more and more robots are designed as service robots, their developers face the challenge of reducing the machines' complexity and providing smart user interface methods. Ideally the robot would be able to cooperate with a human, just like another human would.

关键词： Service robots Legged locomotion Microprocessors computer architecture Face Manipulators

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URBI: towards a universal robotic body interface

URBI: towards a universal robotic body interface

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IEEE-RAS International conference on Humanoid robots

作者： J.-C. Baillie Laboratory of Electrical and Computer Engineering ENSTA Paris France

the recent development of cheap and powerful humanoid and animal-like robots has been accompanied by the development of a variety of softwares, libraries and other interfaces to control the robots. the diversity and complexity of these interfaces slow down the development of robotics and we believe that there is a need for a standard which could be universal, powerful and easy to implement. URBI, a universal robotic body interface, aims at providing the ground for such a standard. It is based on a client/server architecture. the server is running on the robot and accessed by the client, typically via TCP/IP. URBI includes a scripted language used from the client and capable of controlling the joints of the robot or access its sensors, camera, speakers or any accessible part of the machine. We describe here how URBI differs from currently existing solutions, and present its specifications and capabilities using practical examples. We also introduce the URBI C++ library which provides a simple and yet powerful way to program a client and to make a full use of the functionalities of URBI. We also give examples of URBI running on an Aibo ERS7 and analyse the performances of this implementation over the wireless connection.

关键词： Humanoid robots robot sensing systems Software libraries robot control Standards development TCPIP Natural languages robot vision systems Cameras Performance analysis

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Navigation assistance for a BCI-controlled humanoid robot

Navigation assistance for a BCI-controlled humanoid robot

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IEEE International conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Damien Petit Pierre Gergondet Andrea Cherubini Maxime Meilland Andrew I. Comport Abderrahmane Kheddar CNRS-AIST Joint Robotics Laboratory (JRL) Tsukuba Japan CNRS-UM2 LIRMM Interactive Digital Human group Montpellier France CNRS-I3S Laboratory University of Nice Sophia Antipolis France

We present an assisted navigation scheme designed to control a humanoid robot via a brain computer interface in order to let it interact with the environment and with humans. the interface is based on the well-known steady-state visually evoked potentials (SSVEP) and the stimuli are integrated into the live feedback from the robot embedded camera displayed on a Head Mounted Display (HMD). One user controlled the HRP-2 humanoid robot in an experiment designed to measure the performance of the new navigation scheme based on visual SLAM feedback. the new navigation scheme performance is tested in an experience where the user is asked to navigate to a certain location in order to perform a task. It results that without the navigation assistance it is much more difficult to reach the appropriate pose for performing the task. the detailed results of the experiments are reported in this paper, and we discuss the possible improvements of our novel scheme.

关键词： Navigation Collision avoidance Humanoid robots Cameras robot vision systems Manuals

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Multiple moving object monitoring in robot vision

Multiple moving object monitoring in robot vision

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IEEE International conference on Engineering Technologies and Applied Sciences (ICETAS)

作者： Davood Pour Yousefian Barfeh Ricky V. Bustamante Felino P. Lansigan Editha C. Jose Eduardo R. Mendoza Vladimir Y. Mariano College of Engineering and Computer Studies Lyceum of the Philippines University-Laguna Calamba City Philippines College of Arts and Sciences University of the Philippines-Los Baños Laguna Philippines Physics and Center for Nanoscience Ludwig Maximilian University Munich Germany School of Science and Technology RMIT University HCMC Vietnam

In this study, the researchers propose and implement an algorithm as an autonomous robot having a stationary camera to monitor many targets (moving objects). the robot uses apportioning to grasp position of all moving objects. through apportioning, the scene is parted into three major regions while each region has different sub-regions. the status of the robot system can be in three modes of unsafe mode, safe mode and over-safe mode based on the position of all targets. Regarding each mode, the robot accomplishes suitable movement to pursue monitoring of the targets. All movements of the robot are based on two rules. First rule focuses on maintaining the system in the safe mode, while the second rule pays attention to fairness. the robot is implemented and tested in indoor with different factors such as FPS, resolution, minimum number of frames for motion detection, and minimum area of change for motion detection.

关键词： Monitoring Target tracking Motion detection Cameras robots Partitioning algorithms

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Online vision-Based 3D Reconstruction for Shared Human-robot Workspaces

Online Vision-Based 3D Reconstruction for Shared Human-Robot...

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Electrical, computer, Communications and Mechatronics Engineering (ICECCME), International conference on

作者： Philip Keller Genessis Perez Rivera Tristan Schnell Rüdiger Dillmann FZI Forschungszentrum Informatik Karlsruhe Germany

ISBN: (数字)9798350391183

ISBN: (纸本)9798350391190

In applications where robot arms collaborate with humans, the corresponding shared workspaces are very dynamic and not as predictable as purely robotic ones. Unknown obstacles, such as arbitrary boxes or tools placed by humans, might appear at any time and require the robot to react accordingly. Often, expensive Lidar- or depth-sensors are applied in these scenarios. Instead, we propose an approach to check for obstacles and prevent potential collisions in the corresponding workspace that is entirely based on less expensive RGB cameras. the workspace is monitored with an extrinsically calibrated multi-view camera setup. Our proposed hybrid approach combines learning-based feature matching and traditional image processing methods to achieve online 3D reconstruction. Even less textured objects and surfaces can be perceived and modelled as simplified collision objects. We present several experiments and show the effectiveness of learning-based feature matching and the advantages of combining them with accurate computer vision methods. Further, we show that our approach runs in near real-time on our demonstrator using a multi-view setup with three cameras.

关键词： Surface reconstruction three-dimensional displays Mechatronics robot vision systems Cameras Real-time systems Surface texture Collision avoidance Surface treatment Monitoring

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YuMi-Chess: Applying Synthetic Image Generation in Real World Scenarios

YuMi-Chess: Applying Synthetic Image Generation in Real Worl...

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Electrical, computer, Communications and Mechatronics Engineering (ICECCME), International conference on

作者： Johannes Metzler Paul Philipp Seiler Till Haas Dirk Reichelt Chair of Information Management HTWD University of Applied Sciences Dresden Germany

ISBN: (数字)9798350391183

ISBN: (纸本)9798350391190

In this paper, we present a comprehensive approach to utilizing synthetic image data for computer vision tasks in real-world industrial applications. Specifically, we focus on an ABB vision-guided industrial robot designed to play chess, which exemplifies many pick-and-place tasks in industrial environments. Today's vision systems in robotics, which rely heavily on convolutional neural networks (CNNs), have achieved high accuracy but require extensive real-world data for training, which is often resource-intensive to collect. To mitigate this, we leverage synthetic data generation, which replicates the visual diversity of actual industrial environments, thereby enhancing model generalization while reducing dependency on real data collection. Our work builds on previous research by extending capabilities to not only recognize chess pieces but also determine their spatial positions within the robot's coordinate space, handle unusual edge cases, like fallen pieces and calibrating methods for the chessboard. We integrate a advanced chess engine to improve decision-making in the robot's chess-playing abilities. this study demonstrates that synthetic data can significantly streamline the development and deployment of robust vision-guided robotic applications, providing a scalable solution for various industrial tasks.

关键词： Training Visualization Service robots robot kinematics Neural networks Production Streaming media Recording robots Synthetic data

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vision-based Control for Open-source Mobile robots

Vision-based Control for Open-source Mobile Robots

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Vocational Education and Training (ICOVET), International conference on

作者： Ryosuke Miyata Yunan He Osamu Fukuda Nobuhiko Yamaguchi Hiroshi Okumura Anik Nur Handayani Graduate School of Science and Engineering Saga University Saga Japan Universitas Negeri Malang Malang Indonesia

ISBN: (数字)9781728181318

ISBN: (纸本)9781728181325

In this research, we developed an AI autonomous mobile robot based on open-source software. this robot is capable of voice recognition and object recognition, and with these functions, the robot can find and approach the object specified though a user's voice. Since the robot is controlled with the voice commands, the user can control the robot intuitively. We used a software platform named robot Operating System (ROS) to speed up the development. All functions including voice recognition, object recognition, and robot control are implemented in a single board computer based on open source software. We conducted the preliminary experiments and verified the performance of the developed system.

关键词： robots Speech recognition Image recognition Mobile robots robot kinematics robot sensing systems Artificial intelligence

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A Review of Machine vision Applications in Aerospace Manufacturing Quality Inspection

A Review of Machine Vision Applications in Aerospace Manufac...

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computer, Control and robotics (ICCCR), International conference on

作者： Li Deng Gang Liu Yilian Zhang School of Mechanical and Automotive Engineering Shanghai University Of Engineering Science Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798350373141

ISBN: (纸本)9798350373158

Machine vision is a technology that uses image processing and analysis techniques to acquire and understand image information, enabling the recognition, measurement, and detection of objects. Machine vision is widely used in aerospace manufacturing for automated production, quality inspection, and robot guidance. It can improve the efficiency and quality of aerospace manufacturing, reduce labor costs and risks, promote innovation and optimization, adapt to various inspection needs, and realize intelligent, automated, and digital manufacturing processes. this paper introduces the types of vision technologies, overviews the typical applications of machine vision for quality inspection in aerospace manufacturing, (including component surface inspection, drilling quality inspection, assembly quality inspection, and gluing quality inspection), analyzes the advantages, challenges, and development trends of machine vision for quality inspection in aerospace manufacturing, and looks forward to future research directions to support further research and application.

关键词： Drilling Technological innovation Reviews Machine vision Inspection Market research Sensor systems

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Object Tracking based on Active Contour Modeling

Object Tracking based on Active Contour Modeling

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International conference on Wireless Communication, Vehicular Technology, Information theory and Aerospace and Electronic Systems Technology (Wireless VITAE)

作者： S. H. A. Musavi B. S. Chowdhry Jawad Bhatti Dean Faculty of Engineering Science and Technology Indus University Karachi Pakistan Faculty of Electrical Electronics & Computer Engineering MUET Jamshoro Pakistan Department of Electronic Engineering Sir Syed University of Engineering & Technology Karachi Pakistan

Object Tracking based on Active Contour Modeling is an image processing based technology that uses snapshots of the object under consideration to track it via robot in the real world. the objective has been to implement a unique methodology that employs the pursuing and adapting of contour to the current state of image, and hence track the object. the system can be implemented in drone planes wherein this algorithm can be used to guide the movement of the gun based on the movements of the object, or, in robot games with a slightly more advanced robot. Initially Image Processing is performed to reduce operation complexity and achieve swift real-time performance. A set of contour-based modeling algorithms is then implemented to `actively' track the subject. Also, relative transformation calculations are made to lock the target via robot, continuously. MATLAB is used to simulate and implement the system and it is tested on field with a ball placed on it and a robot tracking the ball. the experiments prove that the system successfully detects and tracks the object efficiently in the real world for all horizontal and vertical transitions.

关键词： Active contours Cameras Mathematical model Splines (mathematics) MATLAB robot vision systems

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