Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most c...
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ISBN:
(纸本)9781467381147
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most coordinate-measuring machines (CMM) now available have their capability based on implementation of the Cartesian coordinate system. This feature has become a bottleneck on the way to creating a new generation of CMM. A major breakthrough in this direction was the creation of a six-axis coordinate measuring machine or the hexapod. With six-axis probe control hexapods can control hard-to-reach surfaces of products and make measurements with output that is 2 to 5 times higher than the conventional CMM solutions. Absence of an integrated mathematical foundation remains the greatest problem, therefore multiple separate mathematical models are necessary for the control process. The "minimum volume of measured space" principle is going to become basis for science foundations of high-output control of complex surfaces to be created. According to the principle, top accuracy and output of control can be simultaneously achieved when the measured points cloud is located within encircling equidistant surfaces of minimum volume. Real-life realization of this approach rests on unique iterative methods of problem solving. The results of research will help industrial manufacturers adopt coordinate-measuring machines more intensively, also making it easier to adopt production technology considering information on tolerance in size, shape and surface layout.
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most c...
详细信息
ISBN:
(纸本)9781467381154
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most coordinate-measuring machines (CMM) now available have their capability based on implementation of the Cartesian coordinate system. This feature has become a bottleneck on the way to creating a new generation of CMM. A major breakthrough in this direction was the creation of a six-axis coordinate measuring machine or the hexapod. With six-axis probe control hexapods can control hard-to-reach surfaces of products and make measurements with output that is 2 to 5 times higher than the conventional CMM solutions. Absence of an integrated mathematical foundation remains the greatest problem, therefore multiple separate mathematical models are necessary for the control process. The "minimum volume of measured space" principle is going to become basis for science foundations of high-output control of complex surfaces to be created. According to the principle, top accuracy and output of control can be simultaneously achieved when the measured points cloud is located within encircling equidistant surfaces of minimum volume. Real-life realization of this approach rests on unique iterative methods of problem solving. The results of research will help industrial manufacturers adopt coordinate-measuring machines more intensively, also making it easier to adopt production technology considering information on tolerance in size, shape and surface layout.
The growing demand of industrial, automotive and service robots presents a challenge to the centralized Cloud Robotics model in terms of privacy, security, latency, bandwidth, and reliability. Especially, mobile robot...
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ISBN:
(纸本)9781450372886
The growing demand of industrial, automotive and service robots presents a challenge to the centralized Cloud Robotics model in terms of privacy, security, latency, bandwidth, and reliability. Especially, mobile robots have limited on-board computational power which restricts their mission planning in autonomous applications. With the evolution of Fog computing, computations may be offloaded to Fog devices and/or smart gateway devices which together form a distributed computing platform in close proximity to the mobile robot. In this work, we demonstrate the application of Fog computing for mobile robots with a specific case study of color-based object detection, tracking and mapping in a confined area. The computations required for image processing are offloaded to the Fog devices via Fog nodes and the results are acquired back in real-time. The controlalgorithms for tracking predefined paths and mapping a pre- defined area are validated using a controlled mobile robot with an on-board camera and processing unit. Also, the effects of improvement in latency due to fog environment as compared to on-board computation on the mobile robot is demonstrated.
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most c...
详细信息
ISBN:
(纸本)9781509040698
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most coordinate-measuring machines (CMM) now available have their capability based on implementation of the Cartesian coordinate system. This feature has become a bottleneck on the way to creating a new generation of CMM. A major breakthrough in this direction was the creation of a six-axis coordinate measuring machine. With six-axis probe control hexapods can control hard-to-reach surfaces of products and make measurements with output that is 2 to 5 times higher than the conventional CMM solutions. Absence of an integrated mathematical foundation remains the greatest problem, therefore multiple separate mathematical models are necessary for the control process. The "minimum volume of measured space" principle is going to become basis for science foundations of high-output control of complex surfaces to be created. According to the principle, top accuracy and output of control can be simultaneously achieved when the measured points cloud is located within encircling equidistant surfaces of minimum volume. Real-life realization of this approach rests on unique iterative methods of problem solving. The results of research will help industrial manufacturers adopt coordinate-measuring machines more intensively, also making it easier to adopt production technology considering information on tolerance in size, shape and surface layout. The article deals with without a differential method of finding points of contact with rotation surface when controlling on the CMM.
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most c...
详细信息
ISBN:
(纸本)9781509040704
Progress in the advanced branches of technology has caused the need to manufacture parts of highly complex shapes that are often found through experimenting and only later is described with mathematical models. Most coordinate-measuring machines (CMM) now available have their capability based on implementation of the Cartesian coordinate system. This feature has become a bottleneck on the way to creating a new generation of CMM. A major breakthrough in this direction was the creation of a six-axis coordinate measuring machine. With six-axis probe control hexapods can control hard-to-reach surfaces of products and make measurements with output that is 2 to 5 times higher than the conventional CMM solutions. Absence of an integrated mathematical foundation remains the greatest problem, therefore multiple separate mathematical models are necessary for the control process. The "minimum volume of measured space" principle is going to become basis for science foundations of high-output control of complex surfaces to be created. According to the principle, top accuracy and output of control can be simultaneously achieved when the measured points cloud is located within encircling equidistant surfaces of minimum volume. Real-life realization of this approach rests on unique iterative methods of problem solving. The results of research will help industrial manufacturers adopt coordinate-measuring machines more intensively, also making it easier to adopt production technology considering information on tolerance in size, shape and surface layout. The article deals with without a differential method of finding points of contact with rotation surface when controlling on the CMM.
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