Robert Boschgmbh

Robert Bosch Gmbh

Jonathan Spitz

Frank Hutter

Nicole Ying Finnie

Anna Eivazi

Felix Berkenkamp

Joerg Wagner

Kathrin Skubch

Stefan Falkner

Marius Lindauer

Benjamin Josef Schaefer

Andre Biedenkapp

Lukas Grossberger

David Speck

Robert Mattmueller

Jannick Kuhn

A method for controlling a physical system. The method includes training a neural network to output, for a plurality of tasks, a result of the task carried out, in each case in response to the input of a control configuration of the physical system and the input of a value of a task input parameter; ascertaining a control configuration for a further task with the aid of Bayesian optimization, the neural network, parameterized by the task input parameter, being used as a model for the relationship between control configuration and result; and controlling the physical system according to the control configuration to carry out the further task.

Device and method for controlling a physical system

A device and method for activating a conveyor device. An actual value for a pose of a device movable by the conveyor device by a magnetic force action is received. Depending on the actual value for the pose, as a function of a setpoint value for a torque, as a function of a setpoint value for a force, and as a function of a model, a setpoint value for the activation of at least one actuator of the conveyor device is determined. The model is trained to determine setpoint values for the activation of the at least one actuator as a function of actual values for poses of the device and as a function of setpoint values for torques and setpoint values for forces, using which the device is to be moved.

Device and method for activating a conveyor device

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Leonberg, Germany

Jonathan Spitz