Abstract
Aiming at the problem of sensor-less high-precision manipulation, this paper designs and constructs a crankshaft-bearing assembly system based on vision-guided and attractive region in ...environment. A pre-analysis and evaluation of the attitude measurement accuracy method is proposed to describe the trusted region of the current assembly pose through vision. Then its high-dimensional attractive regions of environment constraints is constructed based on the mechanical constraints between the assembly object and the assembly position. Combine the complementary advantages of vision and mechanical information, a robot adjust its pose to a high precision manipulation pose. A platform of an industrial robot with a vision system is built and experiments on the crankshaft and bearing are successfully assembled. It is validated that using the proposed the vision-guided and attraction region in environment system, high precision assembly manipulation is realized.
Abstract
In order to improve the cladding efficiency and quality, the dual industrial robots are used to work together to achieve the task of repairing the industrial drill. However, the calibration ...accuracy of the base coordinates of the dual robot system is low, which directly affects the cladding quality. In order to solve this problem, a hand-eye calibration algorithm based on fixed calibration cone is proposed to calibrate the camera installed on the flange plate at the end of the machine arm, which improves the determination of the coordinate of the feature points of the calibration object. Based on the coordinate system of the calibration object as a link, the base coordinate relationship between the two robots with high accuracy is obtained.
Biomimetic 4D printing Gladman, A Sydney; Matsumoto, Elisabetta A; Nuzzo, Ralph G ...
Nature materials,
04/2016, Volume:
15, Issue:
4
Journal Article
Peer reviewed
Shape-morphing systems can be found in many areas, including smart textiles, autonomous robotics, biomedical devices, drug delivery and tissue engineering. The natural analogues of such systems are ...exemplified by nastic plant motions, where a variety of organs such as tendrils, bracts, leaves and flowers respond to environmental stimuli (such as humidity, light or touch) by varying internal turgor, which leads to dynamic conformations governed by the tissue composition and microstructural anisotropy of cell walls. Inspired by these botanical systems, we printed composite hydrogel architectures that are encoded with localized, anisotropic swelling behaviour controlled by the alignment of cellulose fibrils along prescribed four-dimensional printing pathways. When combined with a minimal theoretical framework that allows us to solve the inverse problem of designing the alignment patterns for prescribed target shapes, we can programmably fabricate plant-inspired architectures that change shape on immersion in water, yielding complex three-dimensional morphologies.
In the past two decades, artificial skin‐like materials have received increasing research interests for their broad applications in artificial intelligence, wearable devices, and soft robotics. ...However, profound challenges remain in terms of imitating human skin because of its unique combination of mechanical and sensory properties. In this work, a bioinspired mineral hydrogel is developed to fabricate a novel type of mechanically adaptable ionic skin sensor. Due to its unique viscoelastic properties, the hydrogel‐based capacitive sensor is compliant, self‐healable, and can sense subtle pressure changes, such as a gentle finger touch, human motion, or even small water droplets. It might not only show great potential in applications such as artificial intelligence, human/machine interactions, personal healthcare, and wearable devices, but also promote the development of next‐generation mechanically adaptable intelligent skin‐like devices.
A bioinspired mineral hydrogel is developed to fabricate a novel type of mechanically adaptable ionic skin sensor. Due to its unique viscoelastic properties, the hydrogel sensor can sense subtle pressure changes, such as a gentle finger touch, or even small water droplets, and thus may inspire the development of next‐generation soft and stretchable intelligent skin‐like devices.
Wearable sensors are increasingly finding their way into applications of kinesthetic sensing, personal health monitoring, and smart prosthetics/robotics. A graphene‐based composite fiber sensor with ...a “compression spring” structure is fabricated, featuring the ability of detecting multiple kinds of deformation. This fiber sensor is integrated into wearable sensors for monitoring human activities and intricate movements of robotics successfully.
Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan’s economy and solves various ...social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The attention has been focused mainly on developing new artificial intelligence information communication technology (ICT) and robot technology (RT). Although recently developed AI technology certainly excels in extracting certain patterns, there are many limitations. Most ICT models are overly dependent on big data, lack a self-idea function, and are complicated. In this paper, rather than merely developing next-generation artificial intelligence technology, we aim to develop a new concept of general-purpose intelligence cognition technology called “Beyond AI”. Specifically, we plan to develop an intelligent learning model called “Brain Intelligence (BI)” that generates new ideas about events without having experienced them by using artificial life with an imagine function. We will also conduct demonstrations of the developed BI intelligence learning model on automatic driving, precision medical care, and industrial robots.
The absolute positioning accuracy of an industrial robot arm is vital for advancing manufacturing-related applications like automatic assembly, which can be improved via the data-driven approaches to ...robot arm calibration. Existing data-driven calibrators have illustrated their efficiency in addressing the issue of robot arm calibration. However, they mostly are single learning models that can be easily affected by the insufficient representation of the solution space, therefore, suffering from the calibration accuracy loss. To address this issue, this study proposes a calibrator fuzzy ensemble (CFE) with twofold ideas: 1) implementing eight data-driven calibrators relying on different sophisticated machine learning algorithms for an industrial robot arm, which guarantees the accuracy of individual base models and 2) innovatively developing a fuzzy ensemble of the obtained eight diversified calibrators to obtain impressively high calibration accuracy for an industrial robot arm. Extensive experiments on an ABB IRB120 industrial robot implemented with MATLAB demonstrate that compared with state-of-the-art calibrators, CFE decreases the maximum error at 8.59%. Hence, it has great potential for real applications.
Just as psychologists studying humans have found that the infant brain does not develop fully without social interaction, progress towards socially valuable AI will be stunted unless we put the ...problem of cooperation at the centre of our research. Most of the value from self-driving vehicles will come not from driving on empty roads, but from vehicles coordinating smoothly with the flow of pedestrians, cyclists and cars driven by humans. ...cooperative intelligence is not an alternative to autonomous intelligence, but goes beyond it. AI-AI cooperation Multi-agent Al research has seen most success in two-player zero-sum settings, from the superhuman performance of IBM's chess-playing computer Deep Blue to the powerful demonstration of deep reinforcement learning by the program AlphaGo. Collaborative industrial robots work on factory floors alongside labourers6, care robots help human health workers and personal Al assistants (such as Amazon's Alexa, Apple's Siri and Google Assistant) help us with scheduling, albeit in an elementary way.
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