A novel algorithm is described for the adaptive control of a robot manipulator which may contain closed kinematic loops. The algorithm identifies the mass properties of each link and the viscous friction coefficients ...
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A novel algorithm is described for the adaptive control of a robot manipulator which may contain closed kinematic loops. The algorithm identifies the mass properties of each link and the viscous friction coefficients for each joint of the manipulator. It is similar to the Newton-Euler inverse dynamics algorithm and hence obtains its computational efficiency through the recursive nature of the algorithm.< >
A novel method is presented for grouping range image regions such that each group of regions represents a meaningful part of an object. The set of regions, defined as a convex region set (CRS), is obtained by analyzin...
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A novel method is presented for grouping range image regions such that each group of regions represents a meaningful part of an object. The set of regions, defined as a convex region set (CRS), is obtained by analyzing the boundary types between a pair of regions. The boundary types are classified as convex, concave and jump boundaries. If two regions share a convex boundary it is assumed that they are inseparable regions, thus describing the same part (object). The CRSs are determined by a region boundary graph (RBG) which is defined as a graph whose nodes represent regions, and the edges represent boundaries: convex and concave. Since jump boundaries represent no physical contact in 3-D, they are represented as null edges. A CRS is defined as a set of regions (or nodes in an RBG) such that for each pair of regions in the set, there is a path, which is represented only by convex edges. The physical interpretation is that a CRS represents part of an object such that the regions in the set cannot be separated.< >
A learning algorithmic scheme for collision-free navigation is presented. This scheme determines the minimum collision-free navigation path of an autonomous platform by using a trial and error process and past navigat...
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A learning algorithmic scheme for collision-free navigation is presented. This scheme determines the minimum collision-free navigation path of an autonomous platform by using a trial and error process and past navigation knowledge and by extracting the current information from the surrounding environment. This scheme is related to the Odysseus autonomous navigation platform. However, it could be made into a general-purpose scheme with simple modifications. Simulated results for an illustrative example in a graphical representation are provided.< >
The authors address the problem of robot multisensor fusion and integration with special emphasis on optimal estimation of fused sensor data. The investigation is based on a Unimation PUMA 560 robot and various extern...
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The authors address the problem of robot multisensor fusion and integration with special emphasis on optimal estimation of fused sensor data. The investigation is based on a Unimation PUMA 560 robot and various external sensors. These include overhead vision, eye-in-hand vision, proximity, tactile array, position, force/torque, crossfire, overload, and slip sensing devices. The efficient fusion of data from different sources will enable the machine to respond promptly in dealing with the real world. Towards this goal, the general paradigm of a sensor data fusion system has been developed, and some simulation results as well as results from the actual implementation of certain concepts of sensor data fusion have been demonstrated.< >
A robotic system that can visually track and intercept an arbitrary object which is traveling at an unknown velocity on a conveyor has been presented. A fiber-optic eye-in-hand vision system developed at NCSU is used ...
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A robotic system that can visually track and intercept an arbitrary object which is traveling at an unknown velocity on a conveyor has been presented. A fiber-optic eye-in-hand vision system developed at NCSU is used as an integral part of the entire tracking system. The eye-in-hand system is used to characterize the object trajectory in real time, using a modified optical flow approach. A control strategy has been developed which utilizes the kinematic data that are extracted by the tracking algorithm to intercept the moving object. An overall system configuration and its basic principles are described. The demonstration of the initial results is presented.< >
The authors provide a dynamic control law that guarantees the tracking of a given end-effector trajectory and also provides for the control of the redundant joint velocity. The desired redundant joint velocity can the...
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The authors provide a dynamic control law that guarantees the tracking of a given end-effector trajectory and also provides for the control of the redundant joint velocity. The desired redundant joint velocity can then be specified to optimize a cost function over the configurations allowed by the extra degrees of freedom that achieve the given end-effector position.< >
The kinematics of rolling contact for two surfaces of arbitrary shape rolling of each other is derived. Applying these kinematic equations to two planar multifingered hands manipulating some object of arbitrary shape,...
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The kinematics of rolling contact for two surfaces of arbitrary shape rolling of each other is derived. Applying these kinematic equations to two planar multifingered hands manipulating some object of arbitrary shape, a scheme is presented for the control of these hands which is a generalization of the computed torque method of control of robot manipulators. In implementing the control, it is required that all applied forces lie within the friction cone of the object so that sliding does not occur. The theory is illustrated with graphic simulations of the control law applied to the system dynamics for two examples.< >
This paper treats two fundamental problems of a multiple robotic system: grasp planning and the determination of coordinated control laws with point contact models. First, using the dual notions of grasp stability and...
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This paper treats two fundamental problems of a multiple robotic system: grasp planning and the determination of coordinated control laws with point contact models. First, using the dual notions of grasp stability and manipulability and a procedure we have previously developed for task modeling we define the structure grasp quality measures These measures are then integrated to devise a grasp planing algorithm. Second, based on the assumption of point contact models, we develop a computed-torque-like control algorithm for the coordinated manipulation of a multifingered robot hand. This control algorithm, which takes into account both the dynamics of the object and the dynamics of the manipulators, is computationally effective and can be easily generalized to allow rolling motion of the object with respect to the fingertip.
Two problems in the study of multifingered robot hands are considered, namely grasp planning and the determination of coordinated control laws with point contact models. using the dual notions of grasp stability and m...
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Two problems in the study of multifingered robot hands are considered, namely grasp planning and the determination of coordinated control laws with point contact models. using the dual notions of grasp stability and manipulability, and a procedure previously developed for task modeling, the structure grasp quality measures are defined. These measures are then integrated to devise a grasp planning algorithm. Based on the assumption of point contact models, a computed-torque-like control algorithm is developed for the coordinated manipulation of a multifingered robot hand. This control algorithm, which takes into account both the dynamics of the object and the dynamics of the hand, is computationally effective and can be generalized to allow rolling motion of the object with respect to the fingertip.< >
A 32-*32-element capacitive silicon tactile imager has been developed for use in precision robotics applications where high density and high resolution are important. The silicon chip measures 1.8 cm*1.7 cm and is org...
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A 32-*32-element capacitive silicon tactile imager has been developed for use in precision robotics applications where high density and high resolution are important. The silicon chip measures 1.8 cm*1.7 cm and is organized in an X-Y matrix of 1024 capacitor elements on 0.5-mm centers. The process uses two boron diffusions (deep and shallow) followed by a silicon-to-glass electrostatic bonding step and subsequent unmasked wafer dissolution. This results in a thick center plate for the sense capacitor supported by thinner beams. A data acquisition system used with the device offers over 7-bit force resolution with a maximum operating force of about 1 gm/element.< >
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