This conference proceedings contains 7 papers. The main subjects are industrialvisionsystems, parallel processing systems, pattern recognition systems, hardware architecture for industrialvisionsystems, increasing...
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This conference proceedings contains 7 papers. The main subjects are industrialvisionsystems, parallel processing systems, pattern recognition systems, hardware architecture for industrialvisionsystems, increasing the intelligence of robot visionsystems, a binocular stereo matching algorithm, and artificial intelligence applications to visionsystems.
robotic micromanipulation systems (RMS) enable precise and repeatable operations under a microscope. Traditional RMS rely solely on microscopic visual feedback, necessitating time-consuming manual positioning to bring...
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robotic micromanipulation systems (RMS) enable precise and repeatable operations under a microscope. Traditional RMS rely solely on microscopic visual feedback, necessitating time-consuming manual positioning to bring the tool tip within the microscope field-of-view (Micro-FOV), which limits efficiency and heavily depends on operator skill. This paper proposes an innovative RMS that integrates macro and micro vision to automate the aforementioned tool tip positioning and facilitate resilient control. The system utilizes an external camera to obtain the macro field-of-view (Macro-FOV), containing the tool and fiducial markers, and estimates the tool tip's 3D position by triangulation. Visual servoing is then used to guide the tool tip towards the Micro-FOV. Under the Micro-FOV, a tool-sweep detector based on partitioned difference images is used to sequentially locate the tool's shaft and tip. After auto-focusing, the system executes tool tip and Petri dish resilient control.based on our developed self-calibration and self-recalibration mechanisms. During the operation, the system provides an intuitive user interface that includes both macro and micro information, improving the visualization and productivity of micromanipulation. Experiments show that the self-initialization scheme can be implemented across different macro camera viewpoints, reducing the average tip positioning time from 65.70 to 50.08 seconds compared to manual operation, thereby decreasing manual labor intensity and improving efficiency. The self-recalibration mechanism achieves precision and resilient control. with an average error of 0.95 mu m over 25 continuous trials. Additionally, the system exhibits robustness against vibration and visual interference, underscoring its potential for diverse biomedical applications.
This paper explores the development and implementation of a sophisticated vision-guided robotic manipulation system, underpinning advancements in manufacturing, healthcare, and service robotics through the integration...
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The integration of language instructions with roboticcontrol. particularly through vision Language Action (VLA) models, has shown significant potential. However, these systems are often hindered by high computational...
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ISBN:
(数字)9798331531614
ISBN:
(纸本)9798331531621
The integration of language instructions with roboticcontrol. particularly through vision Language Action (VLA) models, has shown significant potential. However, these systems are often hindered by high computational costs, the need for extensive retraining, and limited scalability, making them less accessible for widespread *** this paper, we introduce SVLR (Scalable Visual Language robotics) 1 , an open-source, modular framework that operates without the need for retraining, providing a scalable solution for roboticcontrol. SVLR leverages a combination of lightweight, open-source AI models including the vision-Language Model (VLM) Mini-InternVL, zero-shot image segmentation model CLIPSeg, Large Language Model Phi-3, and sentence similarity model all-MiniLM to process visual and language inputs. These models work together to identify objects in an unknown environment, use them as parameters for task execution, and generate a sequence of actions in response to natural language instructions. A key strength of SVLR is its scalability. The framework allows for easy integration of new robotic tasks and robots by simply adding text descriptions and task definitions, without the need for retraining. This modularity ensures that SVLR can continuously adapt to the latest advancements in AI technologies and support a wide range of robots and *** operates effectively on an NVIDIA RTX 2070 (mobile) GPU, demonstrating promising performance in executing pick-and-place tasks. While these initial results are encouraging, further evaluation across a broader set of tasks and comparisons with existing VLA models are needed to assess SVLR’s generalization capabilities and performance in more complex scenarios.
This digest note describes one system that has been supplied by BRSL to perform the vision processing tasks in an FMS cell. The FMS cell is designed to produce a range of machined parts from the appropriate rough cast...
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This digest note describes one system that has been supplied by BRSL to perform the vision processing tasks in an FMS cell. The FMS cell is designed to produce a range of machined parts from the appropriate rough castings. All the parts are circular and made of ferro-magnetic material. Two robots move the parts from machine to machine within the cell. There is also a supervisory computer that directs all machining operations. The vision system is treated as one of the sensor peripherals of the central supervisory computer.
This article discusses inspection as a multi-disciplinary activity, involving mechanical handling (including robotics), illumination, optics, sensors, analog signal processing, digital electronics, computer system arc...
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This article discusses inspection as a multi-disciplinary activity, involving mechanical handling (including robotics), illumination, optics, sensors, analog signal processing, digital electronics, computer system architecture, software, and algorithms. Inspection systems design with the intention of integrating the system into existing quality assurance and manufacturing processes and practices are considered.
This conference proceedings contains 6 papers. The main subjects are a two robot cell, roboticsystems design, intelligent sensors for roboticsystems, control.interface capability of robotic devices, distributed comp...
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This conference proceedings contains 6 papers. The main subjects are a two robot cell, roboticsystems design, intelligent sensors for roboticsystems, control.interface capability of robotic devices, distributed computing system for the robotic environment, and a methodology for industrial command and control.
Awareness of the capabilities of machine vision is increasing. This has brought about a demand for systems of increasing power and flexibility to meet the growing range of applications. systems that rely on software p...
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Awareness of the capabilities of machine vision is increasing. This has brought about a demand for systems of increasing power and flexibility to meet the growing range of applications. systems that rely on software processing only, even using the most powerful microprocessors, such as the 68000, are sometimes unable to meet the task. Recent developments in the machine vision industry have resulted in a number of novel hardware architectures designed to meet this demand. Practical, cost effective implementation of these ideas is made possible because of the density of modern memory and integrated devices. This paper discusses the range of hardware architectures for image processing applications.
Constructed of relatively inexpensive but realistic and durable elements, this model is a practical tool for training in robot operation and for research in roboticcontrol.systems.
Constructed of relatively inexpensive but realistic and durable elements, this model is a practical tool for training in robot operation and for research in roboticcontrol.systems.
Many have argued that the development of robotics and flexible manufacturing systems can proceed without the need to think of artificial vision, or indeed, artificial intelligence. Much of their argument has resulted ...
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Many have argued that the development of robotics and flexible manufacturing systems can proceed without the need to think of artificial vision, or indeed, artificial intelligence. Much of their argument has resulted from the fact that current visionsystems and scene analysis programs have proved to be impractical in realistic situations. For example, many visionsystems will not operate in dirty environments or in situations where the lighting is not perfect. In artificial intelligence, too, only systems that operate in highly simplified worlds have been demonstrated over the past few years. The central point of this paper is that the situation has changed very rapidly and that the poor demonstrations of the past are not indicative of the possibilities of the future. The outstanding single factor that has brought this change about is a remarkable fall in the cost of electronic equipment.
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