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The applications and developments of approach on planning and scheduling for steel plants based on simulation based optimization is reviewed and summarized. Aiming at the complexity of planning and scheduling for steel plants, problems which need further research in this field and possible development direction are indicated.
This paper introduces the implementation process of intelligent vehicle path planning, including the establishment of environmental models, path search algorithm, as well as the visualization of digital map. Firstly, the article introduces the path planning and several algorithms; secondly, the A * algorithm is described, as well as the representation of environment model; thirdly, the article introduces...
Accurate needle insertion into soft, inhomogeneous tissue is a critical aspect of many medical problems, such as the percutaneous diagnosis and therapies. In such procedures, the flexible tip-steerable needle with bevel tips can deflect during insertion and reach the target we set beforehand. In 2D motion planning, it's crucial to maintain the needle in a desired plane. However, the inhomogeneous...
Aiming at Multiple Space Robot performing on-orbit autonomous and collaborative tasks of operation in this paper, the mission planning models based on multiple Agent models are established. And an Agent negotiation strategy is proposed to introduce load equilibrium strategy in the consult process, which makes the task of planning be balanced according to the load situations of the participating robots...
Path planning is one of the critical issues in mobile robot applications. Traditional methods for path planning in unknown dynamic environment generally plan one step rather than multiple controlling steps. This paper proposes an approach with multiple controlling steps which integrates receding horizon control (RHC) for mobile robot path planning in which the obstacle avoidance problem is converted...
Unlike conventional traveling salesman problems (TSPs) for transportation, amusement park navigation using a smart phone needs both efficiency and preference for personal adaptation. In addition, a dynamic treatment for waiting time estimation and reservation ticket use should be incorporated into a minimum path finding algorithm. This study attempts to unify an optimization method and recommender...
A real-time planning method based on velocity vector field combined with dynamic radar cross-section (RCS) is proposed for unmanned aerial vehicles (UAV) in unexpected threat environment. Its own UAV attitude angle change will affect the dynamic variation of RCS. Radar detection probability model was presented to involve the distance between radar and UAV and circumferential dynamic RCS, rather than...
The product diffusion theory and the optimization theory are introduced to research the quantification of the livable index satisfaction for green coverage of urban and performed the quantitative analysis on the rationality of distribution. Using the statistical curve regression theory and mathematical statistics software SPSS, the utility function of livable index satisfaction for green coverage...
Emergency response decision-making is critical for emergency management. With the involvement of numerous personnel, agencies, equipment, resources and materials, it is challenging to organize, coordinate, and development action plans under an urgent situation. Due to the features of cooperativeness, dynamic, timeliness, and hierarchy, emergency response decision-making problem cannot be effectively...
The Last Planner System is a very important and systematic method that influences the achievement of lean construction. With the theory of emergence science, this paper analyzed the emergence mechanism of the last planner system from the perspective of group decision-making, information change and self-organization; then, how to realize the potencies of the last planner system so as to attain much...
This paper proposed a method of path planning in three-dimensional space based on concentric spherical coordinate and improved particle swarm optimization algorithm. First the model of three-dimensional path planning of UAV was analyzed. Then the encoding method based on concentric spherical coordinate system was given. The constraints were combined with the improved particle swarm optimization algorithm...
In this paper, we present programs in Picat for solving three planning puzzles, including 15-puzzle, Klotski, and the Rubik's cube. All these programs use the planner module of Picat. For a planning problem, we only need to specify the conditions on the final states and the set of actions, and call the planner on an initial state to find a plan or a best plan. The planner module uses tabling. It tables...
Picat is a new and interesting programming language, combing many different programming paradigms: logic programming, imperative programming, functional programming, constraint programming, and tabling. This paper is a personal discussion of some of Picats features with several code examples.
In this paper, we present a mixed-integer linear programming (MILP) formulation for a profit-based unit commitment problem with nonlinear emissions penalty. The quadratic fuel cost function and emissions function are approximated by piecewise linear functions, respectively, while the nonlinear emissions penalty is equivalently transformed into a mixed-integer linear form. Ramp rate limits and minimum...
Trajectory planning can ensure the robot arm move smoothly and quickly to the target position and realize the humanoid robot hand grasping. In the paper, we proposed a trajectory planning of the H20 humanoid robot arm based on combination function method. It is composed of cycloid and cosine function with different frequency. The combination of cycloid function and cosine function adopted has solved...
In deep space exploration, unknown environment require the real-time controlling on an explorer, however the time delay of communication and signal blocking by stars make it impossible for the explorer to achieve real-time controlling. In order to solve the real-time attitude controlling problem for deep space explorers, the characteristics of complex system structure, coupling constraints, and parallel...
Since the traditional rapidly-exploring random tree connect (RRT-connect) algorithm cannot be applied to the problem of unmanned aerial vehicle (UAV) path planning directly, a variable probability based bidirectional RRT algorithm (VPB-RRT) is proposed. The restriction of the turning angle of UAV is joined in the process of generating random points of the programming algorithm, which makes the performance...
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