# Takayuki Yoshizumi, Tokyo JP

## Takayuki Yoshizumi, Tokyo JP

Patent application number | Description | Published |
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20140074538 | STACK HANDLING OPERATION METHOD, SYSTEM, AND COMPUTER PROGRAM - A method for searching transition routes from an initial state of a plurality of stackable items to a target state by a computer at predetermined conditions includes connecting between transitionable states at an edge by a single handling operation transitioning from the initial state to the target state, to generate a state space graph; evaluating a lower bound of handling operation cost from a certain state to the target state, based on both the stacking sequence of the plurality of items in the certain state and the stacking sequence of the plurality of items in the target state; and searching a route from the initial state to the target state where the handling operation cost is minimal on the state space graph using a heuristic search algorithm based on the lower bound. | 03-13-2014 |

20140074541 | STACK HANDLING OPERATION METHOD, SYSTEM, AND COMPUTER PROGRAM - A method for searching transition routes from an initial state of a plurality of stackable items to a target state by a computer at predetermined conditions includes connecting between transitionable states at an edge by a single handling operation transitioning from the initial state to the target state, to generate a state space graph; evaluating a lower bound of handling operation cost from a certain state to the target state, based on both the stacking sequence of the plurality of items in the certain state and the stacking sequence of the plurality of items in the target state; and searching a route from the initial state to the target state where the handling operation cost is minimal on the state space graph using a heuristic search algorithm based on the lower bound. | 03-13-2014 |

20150276417 | OPTIMIZING USE STATES OF A HYBRID MOBILE VEHICLE ALONG A DISCRETIZED TRAVEL ROUTE - An information processing apparatus includes a generation section configured to generate, from a state of a mobile vehicle in each position obtained by discretizing a traveling route along which the mobile vehicle travels, a state of the mobile vehicle in a next position for each use state of drive means contained in the mobile vehicle; and an optimization section configured to optimize the use state of the drive means in each position based on at least one of states of the mobile vehicle in each position generated by the generation section. | 10-01-2015 |

20150278725 | AUTOMATED OPTIMIZATION OF A MASS POLICY COLLECTIVELY PERFORMED FOR OBJECTS IN TWO OR MORE STATES AND A DIRECT POLICY PERFORMED IN EACH STATE - An information processing apparatus that optimizes a policy in a transition model in which the number of targeted objects in each state transits according to the policy includes a cost constraint acquisition unit configured to acquire a cost constraint that constrains a total cost of the policy; a mass policy setting unit configured to set the number of objects targeted by a mass policy in each state, based on the predefined number of objects to belong to each state and a reach rate at which the mass policy reaches to an object, with respect to the mass policy collectively executed for the object in two or more states; and a processing unit configured to assume the reach rate of the mass policy as a variable of an optimization and maximize an objective function based on a total reward in a whole period while satisfying the cost constraint. | 10-01-2015 |

20150278735 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - An information processing apparatus optimizes an action in a transition model in which a number of objects in each state transits according to the action. A cost constraint acquisition unit acquires multiple cost constraints including one that constrains a total cost of the action over at multiple timings and/or multiple states. A processing unit assumes action distribution in each state at each timing as a decision variable in an optimization problem and maximizes an objective function subtracting a term based on an error between an actual number of objects with the action in each state at each timing and an estimated number of objects in each state at each timing based on state transition by the transition model, from a total reward in a whole period, satisfying the multiple cost constraints. An output unit outputs the action distribution in each state at each timing that maximizes the objective function. | 10-01-2015 |

20150291164 | OPTIMIZING USE STATES OF A HYBRID MOBILE VEHICLE ALONG A DISCRETIZED TRAVEL ROUTE - An information processing apparatus includes a generation section configured to generate, from a state of a mobile vehicle in each position obtained by discretizing a traveling route along which the mobile vehicle travels, a state of the mobile vehicle in a next position for each use state of drive means contained in the mobile vehicle; and an optimization section configured to optimize the use state of the drive means in each position based on at least one of states of the mobile vehicle in each position generated by the generation section. | 10-15-2015 |

20150294226 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - An information processing apparatus optimizes an action in a transition model in which a number of objects in each state transits according to the action. A cost constraint acquisition unit acquires multiple cost constraints including one that constrains a total cost of the action over at multiple timings and/or multiple states. A processing unit assumes action distribution in each state at each timing as a decision variable in an optimization problem and maximizes an objective function subtracting a term based on an error between an actual number of objects with the action in each state at each timing and an estimated number of objects in each state at each timing based on state transition by the transition model, from a total reward in a whole period, satisfying the multiple cost constraints. An output unit outputs the action distribution in each state at each timing that maximizes the objective function. | 10-15-2015 |

20150294350 | AUTOMATED OPTIMIZATION OF A MASS POLICY COLLECTIVELY PERFORMED FOR OBJECTS IN TWO OR MORE STATES AND A DIRECT POLICY PERFORMED IN EACH STATE - An information processing apparatus that optimizes a policy in a transition model in which the number of targeted objects in each state transits according to the policy includes a cost constraint acquisition unit configured to acquire a cost constraint that constrains a total cost of the policy; a mass policy setting unit configured to set the number of objects targeted by a mass policy in each state, based on the predefined number of objects to belong to each state and a reach rate at which the mass policy reaches to an object, with respect to the mass policy collectively executed for the object in two or more states; and a processing unit configured to assume the reach rate of the mass policy as a variable of an optimization and maximize an objective function based on a total reward in a whole period while satisfying the cost constraint. | 10-15-2015 |