Many excavation and loading tasks require equipment operators to simultaneously coordinate the motion of multiple machine links to achieve complex tool trajectories. Numerous industrial applications require the tracking and analysis of the position or motion of complex multi-joint machines. This thesis discusses object tracking in image coordinates utilizing contrast-based marker tracking. The recorded mining machine tool trajectories were categorized to provide control support for the operator. The new differential control technique for enhancing the efficiency of mining operations by automatically coordinating multiple joints is also described in the thesis. The concept involves robotics control to assist human-operators in mining operations. Several task-specific, software based kinematics transformations, including a virtual revolute-to- Cartesian machine reconfiguration have been tested on a small experimental excavator. However, other basic curvilinear coordinate systems may also be considered, based on the results of trajectory classification which will be used for controlling the observed parametric trajectories.
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Dr. Rashi Tiwari is a Postdoctoral Associate in Mechanical and Aerospace Engineering at Cornell University. She received her B.S. degree (2003) in Electrical Engineering from Pune University; M.S. (2006) and PhD. (2009) in Mechanical Engineering from the University of Nevada, Reno.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many excavation and loading tasks require equipment operators to simultaneously coordinate the motion of multiple machine links to achieve complex tool trajectories. Numerous industrial applications require the tracking and analysis of the position or motion of complex multi-joint machines. This thesis discusses object tracking in image coordinates utilizing contrast-based marker tracking. The recorded mining machine tool trajectories were categorized to provide control support for the operator. The new differential control technique for enhancing the efficiency of mining operations by automatically coordinating multiple joints is also described in the thesis. The concept involves robotics control to assist human-operators in mining operations. Several task-specific, software based kinematics transformations, including a virtual revolute-to- Cartesian machine reconfiguration have been tested on a small experimental excavator. However, other basic curvilinear coordinate systems may also be considered, based on the results of trajectory classification which will be used for controlling the observed parametric trajectories. 136 pp. Englisch. Seller Inventory # 9783838395555
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Many excavation and loading tasks require equipment operators to simultaneously coordinate the motion of multiple machine links to achieve complex tool trajectories. Numerous industrial applications require the tracking and analysis of the position or motion of complex multi-joint machines. This thesis discusses object tracking in image coordinates utilizing contrast-based marker tracking. The recorded mining machine tool trajectories were categorized to provide control support for the operator. The new differential control technique for enhancing the efficiency of mining operations by automatically coordinating multiple joints is also described in the thesis. The concept involves robotics control to assist human-operators in mining operations. Several task-specific, software based kinematics transformations, including a virtual revolute-to- Cartesian machine reconfiguration have been tested on a small experimental excavator. However, other basic curvilinear coordinate systems may also be considered, based on the results of trajectory classification which will be used for controlling the observed parametric trajectories.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch. Seller Inventory # 9783838395555
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many excavation and loading tasks require equipment operators to simultaneously coordinate the motion of multiple machine links to achieve complex tool trajectories. Numerous industrial applications require the tracking and analysis of the position or motion of complex multi-joint machines. This thesis discusses object tracking in image coordinates utilizing contrast-based marker tracking. The recorded mining machine tool trajectories were categorized to provide control support for the operator. The new differential control technique for enhancing the efficiency of mining operations by automatically coordinating multiple joints is also described in the thesis. The concept involves robotics control to assist human-operators in mining operations. Several task-specific, software based kinematics transformations, including a virtual revolute-to- Cartesian machine reconfiguration have been tested on a small experimental excavator. However, other basic curvilinear coordinate systems may also be considered, based on the results of trajectory classification which will be used for controlling the observed parametric trajectories. Seller Inventory # 9783838395555