Abstract:
A method for controlling behavior of an intelligent mechanical system having more than one degree of freedom. The method includes (a) providing a target to a selector unit that requires operation of actuators of the mechanical system; (b) generating by a selector unit more than one behavior commands adapted to reach the target; (c) simulating movements of the mechanical system for each behavior command by a computing unit of the mechanical system; (d) assessing fitness values for each simulated movements based on at least one objective; and (e) sending the behavior commands with a highest fitness value to the actuators of the mechanical system.
Abstract:
The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps: observing a movement of an entity in the robot's environment, recording the observed movement using a sensorial data stream and representing the recorded movement in a different task space representations, selecting a subset of the task space representations for the imitation learning and reproduction of the movement to be imitated.
Abstract:
A robot is provided with a motion control unit that avoids collision between segments of the robot or between segments of the robot and other objects. The motion control unit of the robot comprises a distance computing module, a whole body control module, a collision avoidance module, and a blending control unit. The distance computing module calculates two closest points of different segments of the robot connected to each other via at least one joint or a segment of the robot and another object. The collision avoidance module is provided with the information about the two closest points. The blending control unit combines the weighted output control signals of the whole body control module and the collision avoidance control module. The weight of the whole body control output signal is higher when the risk of collision is lower. The weight of the collision avoidance control output signal is higher when the risk of collision is higher. The collision avoidance module is designed to control a collision avoidance action only in the direction parallel to a line connecting between the two closest points.
Abstract:
The invention refers to a method for controlling the effector trajectory from a current state to a target state. First invariant control parameters of the trajectory are determined. The effector trajectory is then represented in a task description being void of the invariant control parameters. The effector trajectory is controlled on the basis of this task description. The invention further refers to a method for controlling the effector trajectory wherein the effector trajectory is calculated by mapping increments from a control parameter space on a configuration space. The dimensional difference between the configuration space and the control parameter space leaves redundant degrees of freedom of a Null space. The degrees of freedom of the Null space are increased using a task description being void of invariant control parameters. The invention further refers to a respective computer software program product, a manipulator, an actuated camera system, a robot comprising one or more manipulators and an automobile equipped with a driver support system.
Abstract:
A method for controlling behavior of an intelligent mechanical system having more than one degree of freedom, the method comprising: (a) providing a target to a selector unit that requires operation of actuators of the mechanical system; (b) generating by a selector unit more than one behavior commands adapted to reach the target; (c) simulating movements of the mechanical system for each behavior command by a computing unit of the mechanical system; (d) assessing fitness values for each simulated movements based on at least one objective; and (e) sending the behavior commands with a highest fitness value to the actuators of the mechanical system.
Abstract:
The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps: observing a movement of an entity in the robot's environment, recording the observed movement using a sensorial data stream and representing the recorded movement in a different task space representations, selecting a subset of the task space representations for the imitation learning and reproduction of the movement to be imitated.
Abstract:
A robot controller including a multitude of simultaneously functioning robot controller units. Each robot controller unit is adapted to receive an input signal, receive top-down information, execute an internal process or dynamics, store at least one representation, send top-down information, issue motor commands wherein each motor command has a priority. The robot controller selects one or several motor commands issued by one or several units based on their priority. Each robot controller unit may read representations stored in other robot controller units.
Abstract:
A method for controlling a system or robot having at least one effector. An initial sequence of control points is computed. The system or the robot is evaluated by a global cost function that uses internal simulation based on the control points. The sequence of control points are updated based on the evaluation. The evaluation of the system or the robot and the updating of the sequence of control points are repeated until a given termination criterion is met.
Abstract:
The invention refers to a method for controlling the effector trajectory from a current state to a target state. First invariant control parameters of the trajectory are determined. The effector trajectory is then represented in a task description being void of the invariant control parameters. The effector trajectory is controlled on the basis of this task description. The invention further refers to a method for controlling the effector trajectory wherein the effector trajectory is calculated by mapping increments from a control parameter space on a configuration space. The dimensional difference between the configuration space and the control parameter space leaves redundant degrees of freedom of a Null space. The degrees of freedom of the Null space are increased using a task description being void of invariant control parameters. The invention further refers to a respective computer software program product, a manipulator, an actuated camera system, a robot comprising one or more manipulators and an automobile equipped with a driver support system.
Abstract:
A robot is provided with a motion control unit that avoids collision between segments of the robot or between segments of the robot and other objects. The motion control unit of the robot comprises a distance computing module, a whole body control module, a collision avoidance module, and a blending control unit. The distance computing module calculates two closest points of different segments of the robot connected to each other via at least one joint or a segment of the robot and another object. The collision avoidance module is provided with the information about the two closest points. The blending control unit combines the weighted output control signals of the whole body control module and the collision avoidance control module. The weight of the whole body control output signal is higher when the risk of collision is lower. The weight of the collision avoidance control output signal is higher when the risk of collision is higher. The collision avoidance module is designed to control a collision avoidance action only in the direction parallel to a line connecting between the two closest points.