This paper describes a methodology of world modelling and path planning for a mobile robot. The world model, called a certainty grid for obstacle representation,is obtained from readings of ultrasonic sensors and more...
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Presented in this paper is an application to aerodynamic coefficients estimation of new recursive parameter identification algorithm which utilizes the recursive least squares (RLS) method and the constrained quadrati...
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An approach to solving the time-varying obstacle avoidance problem is pursued. The mathematical formulation of the problem is given in robot joint space (JS). The view-time concept is introduced to deal with time-vary...
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For a robotic workcell with multiple robots, several interconnection methods are presented in terms of the processor based architecture. Since few attempts have been made to formulate and analyze multi-robot interconn...
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The authors derive the upper and the lower bounds for the mean cycle time and the mean message transmission time of class six and class four in the IEEE 802.4 token bus network, within which the minimum utilization co...
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The authors derive the upper and the lower bounds for the mean cycle time and the mean message transmission time of class six and class four in the IEEE 802.4 token bus network, within which the minimum utilization constraint of class four is guaranteed. They also derive stability conditions for the token bus network. These bounds and stability conditions are represented in terms of the high priority token hold time, the token rotation time, the arrival rate, the total station number, etc. A parameter tuning algorithm is proposed in a partially symmetric token bus network with two classes. This algorithm maximizes the utilization of class four for a given high priority token hold time and at the same time meets the constraints of the stability condition of the network, the real time constraint, and the minimum utilization of class four.< >
An approach to solving the time-varying obstacle avoidance problem is pursued. The mathematical formulation of the problem is given in robot joint space (JS). The view-time concept is introduced to deal with time-vary...
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An approach to solving the time-varying obstacle avoidance problem is pursued. The mathematical formulation of the problem is given in robot joint space (JS). The view-time concept is introduced to deal with time-varying obstacles. The view-time is the period in which a time-varying obstacle is viewed and approximated by an equivalent stationary obstacle. The equivalent stationary obstacle is the volume swept by the time-varying obstacle for the view-time. The swept volume is transformed into the JS obstacle that is the set of robot configurations causing the collision between the robot and the swept volume. In JS, the path avoiding the JS obstacle is planned, and a trajectory satisfying the constraints on robot motion planning is planned along the path. This method is applied to the collision-free motion planning of two SCARA robots, and the simulation results are given.< >
For a robotic workcell with multiple robots, several interconnection methods are presented in terms of the processor based architecture. Since few attempts have been made to formulate and analyze multi-robot interconn...
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For a robotic workcell with multiple robots, several interconnection methods are presented in terms of the processor based architecture. Since few attempts have been made to formulate and analyze multi-robot interconnection system (MRIS), the authors turn the knowledge of multiple processor system (MPS) or multiple computer system (MCS) to good account. The systems are modelled using the queuing network. Performance evaluation is done through the mean value analysis with their response time and the probability of service failure under different workloads. To verify the significance of the proposed analysis method, a computer simulation is performed. The results together with comments suggest some useful guidelines for selecting an appropriate interconnection method for the MRIS.< >
The optimal load distribution for two cooperating robots is studied, and a solution approach utilizing a force ellipsoid is presented. The load distribution problem is formulated as a nonlinear optimization problem wi...
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The optimal load distribution for two cooperating robots is studied, and a solution approach utilizing a force ellipsoid is presented. The load distribution problem is formulated as a nonlinear optimization problem with a quadratic cost function. The effort exerted by the robots to follow the specified motion is defined to be the joint torque norm square, and the optimal solution minimizing the effort is obtained using the concept of the force ellipsoid and nonlinear optimization theory. Despite the presence of the joint torque constraints, the optimal solution is obtained almost as a closed form which requires small computation time. The proposed solution approach is illustrated and the internal force effect is studied using a numerical example.< >
This paper analyzes the robustness properties and modeling requirements for model-predictive control via Horizon Predictive control (HPC). The theory of Structured Singular Values is used to determine optimal values f...
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This paper analyzes the robustness properties and modeling requirements for model-predictive control via Horizon Predictive control (HPC). The theory of Structured Singular Values is used to determine optimal values for the correction horizon in HPC given user-provided uncertainty intervals and performance weights. Regarding system identification, control-relevant identification principles are used to provide guidelines for input signal design, prefiltered estimation, and uncertainty modeling. These results are tested experimentally using data from a methanol-isopropanol distillation column.
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