Siemens Aktiengesellschaft

Philipp Sebastian Schmitt

Wendelin Feiten

Werner Neubauer

Michael Fiegert

Kai Wurm

Sebastian Albrecht

Florian Wirnshofer

Bernd Kast

Dimitri Lomakin

Vincent Dietrich

A method for determining an optimized sequence of movements of a robot device for moving a first object in such a way that the first object is brought into a target position independently of an uncertainty of a position of the first object in relation to a second object and/or independently of an uncertainty of a position of the robot device is provided. The method includes: simulating movement portions of the robot device taking account of the uncertainty of the position of the first object and/or the uncertainty of the position of the robot device; and determining the optimized sequence of movements of the robot device taking account of the simulated movement portions and boundary conditions which specify at least one starting position and the target position of the first object. An optimized sequence of movements is determined, by which the robot device can guide the first object reliably into its target position.

Method and apparatus for determining an optimized movement sequence for a robot device

Provided is a method wherein a movement or a manipulation of an object by a robot, observing constraints, from a starting condition to the manipulation target, is generated, wherein the manipulation is divided into different manipulation modes or sections, which include different constraints, wherein a plurality of manipulation mode-specific controllers for controlling partial manipulations in the different manipulation modes for sections are randomly generated and an optimized sequence of the controllers is randomly generated, wherein the controllers specify a vector field or a directional field, wherein a simulation module simulates the manipulation or movement for each of the controller sequences and determines an expense value or a cost value quantifying a reaching of the manipulation target, and wherein the controller sequence and the expense value are supplied to a machine learning module as training data in order to indicate an expense-optimized controller, which optimizes or minimizes the expense value.

Method and manipulation system for manipulation of an object by a robot

At least one robot is disclosed for object manipulation, on the basis of a probabilistic approach without object detection by visual sensors, a probability distribution is determined approximately by an iterative, recursive application of a Bayes filter algorithm, wherein state transition probabilities obtained, in a nondeterministic motion model for system simulation, are multiplicatively linked with measurement probabilities obtained at the start of the application. For this purpose, a physics simulator which completely includes the physics of the system with respect to forces and dynamics and the physical system relationships resulting therefrom, and a controller, which controls the physics simulator while at the same time the simulation system state is fed back and which influences the compliance of the robot with respect to the robot-object environment on the basis of control variables, are incorporated, and measurement results of axis-specific measurements are taken into account in the measurement model for the plausibility checks.

Method, computer program product and robot control system for the contact-based localization of objects that can be moved when manipulated by robot, and robot

A pick & place operation picking a non-electric component and placing the picked component onto a component-carrier and a connect operation connecting the placed component with the component-carrier by implementing a connection technology on a hybrid, at least reactive and deliberative machine architecture based on a 'machine world model' as a digital twin to formulate correct machine-behavioral sets being used during machine run-time as well as an “machine workflow”, and executing by machine motion generation including a collision-free motion or path planning of a machine within a machine workspace primary kinematic machine-movement-sequences enabling the pick & place operation and secondary kinematic machine-movement-sequences enabling the connect operation, and enabling the execution via the machine motion generation by initializing the “machine world model” according to a configuration file configuring the machine and the machine workspace and instantiating the “machine workflow” and updating the “machine world model” with a design of the component-carrier.

Method and assembly unit for assembling non-electric components onto a component carrier

Provided is a computer-assisted method for ascertaining a movement of an apparatus, which has a tool that is movable by way of translational and/or rotational axes of movement of the apparatus, includes the following method steps: a first movement trajectory of the tool is ascertained in a first configuration space. A predetermined parameter of a movement of the tool is optimized when ascertaining the first movement trajectory. A check is carried out as to whether the first movement trajectory satisfies at least one predetermined first boundary condition. A second movement trajectory of the tool in a second configuration space is ascertained by transforming the first movement trajectory into the second configuration space if the first movement trajectory satisfies the predetermined first boundary condition. A check is carried out as to whether the second movement trajectory satisfies at least one predetermined second boundary condition.

Computer-assisted ascertainment of a movement of an apparatus

Provided is a method for computer-aided user assistance during the activation of a movement planner for a machine, in which:

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Munich, Germany

Philipp Sebastian Schmitt