the study of visual navigation problems requires the integration of visual processes with motor control. Most essential in approaching this integration is the study of appropriate spatio-temporal representations which...
详细信息
this paper presents a smart system to navigate a robot without sensors using a vertical camera and real-time data processing to identify static and dynamic obstacles. To identify the obstacles, image processing techni...
this paper presents a smart system to navigate a robot without sensors using a vertical camera and real-time data processing to identify static and dynamic obstacles. To identify the obstacles, image processing techniques are used such as background subtraction and morphological operations in real-time. After detecting the obstacles, the optimal path is determined, and control commands are sent to the robot accordingly. the navigation path of the robot from the start point (robot current location) to the destination point is determined based on graph theory. A graph is created to cover all possible routes in the work area, then A-Star algorithm is utilized to find the optimal path. the optimal path is updated continuously to account for any moving obstacles that could obstruct the robot's path.
Measuring sound intensity is a complex and tedious task in industrial environments. Traditional manual methods can be costly, inaccurate, and potentially dangerous for workers. Integrating robotics and computervision...
Measuring sound intensity is a complex and tedious task in industrial environments. Traditional manual methods can be costly, inaccurate, and potentially dangerous for workers. Integrating robotics and computervision into acoustic measurement processes offers an innovative solution to these problems. this article provides an overview of the innovative solutions offered by Doosan robotics, in collaboration with Onrobot, an integrated solution for automatic acoustic intensity measurement. the Doosan robot equipped with a scanning camera captures acoustic data and produces a map of the machine’s acoustic radiation using computervision algorithms. this measurement method is accurate, efficient, and safe for workers. It can also be used for continuous monitoring of the industrial acoustic environment. Withthese innovations, the Doosan robot offers a promising way to automate acoustic intensity measurement, which can be performed faster and with better accuracy to help industries improve sound quality and reduce noise levels to improve worker health and well-being.
Indonesia is a country whose economy is developing very fast. According to World Bank data, Indonesia is the country withthe largest economic development in Southeast Asia. Unfortunately, the threat of terrorism in I...
详细信息
Indonesia is a country whose economy is developing very fast. According to World Bank data, Indonesia is the country withthe largest economic development in Southeast Asia. Unfortunately, the threat of terrorism in Indonesia is very large, therefore it requires a smart system such as military robots. Today's vision-based robot technology has also been used in the development of autonomous military robots. A sophisticated military robot is a robotthat is needed by the military/police because it can be deployed to the battlefield or the eradication of terrorism in a remote or autonomous manner. this system is needed to reduce the remaining casualties from the army, and this combat robot system can also be operated at any time with more numbers than regular soldiers and with minimal operator needs. In this paper, we propose a prototype of a tank-based military robot with object detection and tracking and turrets for simulation of shooting the enemy target based on the computervision. the object tracker will detect an upper body of the target using a library in OpenCV and the tank will track until it reaches the best position to shoot the target. the methods explained, and experimental results were presented.
Human patrolling and surveillance operations often involve inherent risks and inefficiencies. To address these challenges, this work discusses the design and development of a patrolling robot using the UP Squared boar...
Human patrolling and surveillance operations often involve inherent risks and inefficiencies. To address these challenges, this work discusses the design and development of a patrolling robot using the UP Squared board, a powerful maker board, harnessing the capabilities of the OpenCV computervision library. the robot is designed to perform efficient patrolling and surveillance tasks while autonomously avoiding obstacles. Utilizing video processing techniques enabled by OpenCV, the robot accurately detects intruders and promptly alerts human operators. Additionally, obstacle avoidance sensors are incorporated to ensure the robot navigates safely and avoids potential hindrances. By combining robust surveillance, accurate intruder detection, and obstacle avoidance, this research contributes to developing a reliable and effective patrolling system.
Withthe economic and social development of human beings, people have higher and higher requirements for the intelligence of machinery and equipment. Withthe vigorous development of robotvision technology, robots ar...
Withthe economic and social development of human beings, people have higher and higher requirements for the intelligence of machinery and equipment. Withthe vigorous development of robotvision technology, robots are becoming more and more widely used in various industries, and they also gradually have “eyes”. this not only broadens the scope of its use, but also improves its intelligence. In this paper, the PUMA-560 manipulator was simulated to realize its visual recognition and grasping functions. It has been applied to the original industrial robots. For example, the six-axis manipulator used this time is to obtain relevant information about the target and the surrounding environment through computervision technology, so as to accurately identify the action to be carried out, and respond according to the action to guide the robot to grasp.
We present the design and construction of MERTZ, an active-vision humanoid head robot, withthe immediate goal of having the robot runs continuously for many hours a day without supervision at various locations. We ad...
详细信息
We present the design and construction of MERTZ, an active-vision humanoid head robot, withthe immediate goal of having the robot runs continuously for many hours a day without supervision at various locations. We address how the lack of robustness and reliability lead to limitations and scalability issues in research robotic platforms. We propose to attend to these issues in parallel withthe course of robot development. Drawing from lessons learned from our previous robots, we incorporated various fault prevention strategies into the electromechanical design. We have implemented a preliminary system, integrating sensorimotor, vision, and audio in order to test the full range of all degrees of freedom and enable the robot to engage in simple visual and verbal interaction with people. We conducted a series of experiment where the robot ran for $2 hours within 9 days at different public spaces. the robot interacted with a large number of passersby and collected at least 100,000 face images of at least 600 individuals within 4 days. We learned various lessons involving the robustness of current design and identified a set of failure modes. Lastly, we present the long term research direction for the robot.
this article presents a solution developed with Doosan robotics and Onrobot for identifying missing or broken pull tabs in manufacturing processes using computervision and robotics integration. the solution involves ...
this article presents a solution developed with Doosan robotics and Onrobot for identifying missing or broken pull tabs in manufacturing processes using computervision and robotics integration. the solution involves a collaborative robot equipped with a 2.5D camera and an end-effector capable of grasping and manipulating objects. the 2.5D camera captures images of the objects, and computervision algorithms are applied to detect and identify the presence of pull tabs and assess their condition. the system utilizes advanced image processing techniques to analyze the captured images, identifying any instances of missing or broken pull tabs. Upon detection, the robot employs its end-effector to interact withthe identified pull tabs, facilitating their removal or replacement as necessary. the integration also incorporates automated decision-making algorithms to optimize production efficiency, reduce errors, and improve product quality. Integrating these technologies enhances precision, accuracy, and speed in identifying and manipulating objects, leading to increased productivity, cost reduction, and improved product quality.
Finding relation among multiple images is a core and vital step in the field of computervision. this can be achieved if we can track correspondence over consecutive frames in an image and then matching among them can...
详细信息
ISBN:
(纸本)9781509036691
Finding relation among multiple images is a core and vital step in the field of computervision. this can be achieved if we can track correspondence over consecutive frames in an image and then matching among them can be identified. this paper proposes a precise approach for image matching in real time scenario and also in the field of robotICS. We arc constructing an application based Image matching model that can detect images that are exactly the same, as well as images that have been edited in some ways. Implementation of this Image Matching and object recognition system is based on tracking an object, calculating its feature Points, and classification withthe help of trained Data Sets. the system is capable to perform matching of images, both automatically and manually. On the other hand, to operate the proposed system manually, user itself takes the images of an object or something, and will store it in database. After that system will through some steps, and image matching will be performed. Black & White point calculation of an image, Chamfer matching Algorithm, 3-4 Distance Transformation with canny edge detector is applied in the application which is well suited for calculating the pixel values. the whole system is reliable and capable to match the two images in Digital Image Processing.
暂无评论