The design and implementation of flexible manufacturing systems require the planning of task requirements to meet standards of reliability, cost, and throughput over a family of products. Tools for computer-aided engi...
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This paper presents a resource-level conflict detection and conflict resolution scheme which is combined with a state-level backward planning algorithm and provides efficient conflict detection and global conflict res...
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This paper presents a resource-level conflict detection and conflict resolution scheme which is combined with a state-level backward planning algorithm and provides efficient conflict detection and global conflict resolution for nonlinear planning. The scheme keeps track of the usage of individual resources during planning, and constructs a Resource-Usage Flow (RUF) structure (based on which conflict detection and resolution is accomplished). The RUF structure allows the system to perform minimal and nonredundant operations for conflict detection and resolution. Furthermore, resource-level conflict detection and resolution facilitates problem decomposition in terms of resources, thereby providing easy implementation in a parallel and distributed processing environment. Performance analysis indicates that the proposed architecture has a speed-up factor of the average depth of a plan network, D(N a ), compared to the distributed NOAH, where N a (the total number of action nodes at the completion of planning) and D(N a ) are considerably larger than the number of resources involved in planning as well as the number of initial goal states.
Wc have developed an innovative ray-tracing simulation algorithm to describe Welativistic Effects in SpaceTime ("REST"). Our algorithm, called REST-frame, models light rays that have assumed infinite speed i...
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A method of automatically constructing a system model or set of constraints from domain principles for solving the dynamic behavior of a mechanical system is presented. The following issues are emphasized: (1) the ext...
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A method of automatically constructing a system model or set of constraints from domain principles for solving the dynamic behavior of a mechanical system is presented. The following issues are emphasized: (1) the extraction of a necessary and sufficient set of system constraints from the fundamental principles and laws of physics based solely on the physical description of a given mechanical system, and (2) the modification of system constraints through time by detecting and identifying 'system discontinuities' due to collisions, separations. and other critical states associated with each system object. The first is accomplished by describing a mechanical system by a collection of object and interconnection primitives. which allows direct invocations and instantiations of all the relevant physics laws from the knowledge base. In consequence, the final constraints are selected on the basis of the A* algorithm. with heuristics providing the problem-solving expertise. The second is accomplished by monitoring whether the states of any individual subsystems evolve to system discontinuities represented by intra/inter subsystem critical states.< >
The authors present a novel method of accomplishing robot kinematic control based on a bidirectional mapping neural network (BMNN). The BMNN constructed is composed of a multilayer feedforward network with hidden unit...
The authors present a novel method of accomplishing robot kinematic control based on a bidirectional mapping neural network (BMNN). The BMNN constructed is composed of a multilayer feedforward network with hidden units having sinusoidal activation functions and a feedback network forming a recurrent loop around the feedforward network. The feedforward network can be trained to accurately represent the forward kinematic equations of a robot arm. The feedback network iteratively generates joint-angle updates based on a Lyapunov function to modify the current joint angles in such a way that the output of the forward network converges to the desired Cartesian position and orientation. The proposed BMNN offers the following advantages over the conventional approaches: (1) the accurate computation of robot forward and inverse kinematic solutions with simple training; (2) the ability to handle one-too-many inverse mapping required for redundant arm kinematics solutions; and (3) the automatic generation of arm trajectories. Simulation results are shown
A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both ph...
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A parallel implementation of a system to recognize 2D objects under realistic scenarios (occlusion, rotation, translation, and perspective) is presented. A preprocessing phase and a recognition phase are used. Both phases have been implemented on the Connection Machine, achieving O(n/sup -x/) with n/sup x/ processors (x >
An intelligent externally powered orthotic system (exoskeleton) for the treatment of motor dysfunctions of the upper extremities of stroke patients is described. IROS is an interactive and cooperative human-machine sy...
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An intelligent externally powered orthotic system (exoskeleton) for the treatment of motor dysfunctions of the upper extremities of stroke patients is described. IROS is an interactive and cooperative human-machine system, with both controlling the human arm. Initially, the machine is the main controller of the arm. As the patient improves, the human control of the arm increases, and the machine control of the arm decreases. The system combines the skills of professional therapists with a sensor-integrated orthosis and a real-time graphics system to ensure proper interaction and cooperation with the patient in order to achieve the goals of therapy. It uses the expertise of the therapists, which is incorporated into its knowledge system, while monitoring the sensory information from the patient, including the force, motion, and electromyogram (EMG) signals. The treatment-related tasks are displayed on the real-time graphic system to increase the interest and enhance the motivation of the patient. Such a system can be used to improve the rehabilitation process for stroke patients.< >
The synthesis and verification of biped walking trajectories during the single-support phase is discussed. The biped is modeled as a seven-link twelve degree-of-freedom anthropomorphic robot. By utilizing the zero mom...
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The synthesis and verification of biped walking trajectories during the single-support phase is discussed. The biped is modeled as a seven-link twelve degree-of-freedom anthropomorphic robot. By utilizing the zero moment point (ZMP) and the equivalent force-moment, the physical admissibility of the biped walking is characterized. For physically realizable walking during the single-support phase, the trajectory of the ZMP on the ground must be inside the stable region of the supporting sole. A biped walking trajectory specified by eight pattern parameters is derived through inverse kinematics. ZMP trajectories for different walking patterns and the influence of the pattern parameters on the ZMP trajectories are presented.< >
A fixation point is a point in 3-D space that projects to zero optical flow in an image over some period of time while the camera is moving. Quantitative aspects of fixation for a static scene are treated. For the cas...
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A fixation point is a point in 3-D space that projects to zero optical flow in an image over some period of time while the camera is moving. Quantitative aspects of fixation for a static scene are treated. For the case where the rotation axis of the camera is perpendicular to the instantaneous translation vector, it is shown that there is an infinite number of points that produce zero instantaneous optical flow. These points lie on a circle (called the zero flow circle, or ZFC) and a line. The ZFC changes its location and radius as a function of time, and the intersection of all the ZFCs is a fixation point. Points inside the ZFC produce optical flow that is opposite in sign to those that are outside the ZFC. This fact explains in a more quantitative way phenomena due to fixation. In particular, points in the neighborhood of the fixation point may change the sign of their optical flow as the camera moves. In a set of experiments, it is shown how the concept of the ZFC can be used to explain the optical flow produced by 3-D points near the fixation point.< >
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