A method and a device monitors a working process, in which a workpiece is worked continuously along each of at least one working path during at least one working time period using a working tool arranged on a collaborative robot. The device includes a sensor apparatus for monitoring the environment of the collaborative robot and a detection device for detecting an object in a manipulation region around each working path of the collaborative robot. A working machine has a monitoring device of this type. The detection device is connected to a device for emitting an instruction signal within an instruction phase in the event that an object is detected in the manipulation region of a working path of the collaborative robot, so that the working process can be continued along the at least one working path without interruption.

In an embodiment, a method includes determining a given material to manipulate to achieve a goal state. The goal state can be one or more deformable or granular materials in a particular arrangement. The method further includes, for the given material, determining, a respective outcome for each of a plurality of candidate actions to manipulate the given material. The determining can be performed with a physics-based model, in one embodiment. The method further can include determining a given action of the candidate actions, where the outcome of the given action reaching the goal state is within at least one tolerance. The method further includes, based on a selected action of the given actions, generating a first motion plan for the selected action.

A robot system includes a robot configured to operate in cooperation with a person, a specifying section configured to specify a person present in a region at a predetermined distance from the robot, and a control section configured to decelerate or stop the operation of the robot when the presence of the person in the region is specified by the specifying section. The control section changes the distance based on a result of specifying the person by the specifying section.

Provided is a method for testing an autonomous system of which a virtual image exists, the virtual image including at least one virtual image of an autonomous component including the following steps: a) Acquiring of component data providing information in relation to a movement of the at least one virtual image of the autonomous component; b) Creating, in the virtual image, at least one virtual object; c) Generating, in the virtual image, a corpus around the at least one virtual object or/and the virtual image of the at least one component; d) Representing, in the virtual image, a movement of the at least one virtual object or/and the virtual image of the at least one autonomous component; e) Acquiring reaction data in relation to the movement of the at least one virtual object or/and the virtual image; f) Evaluating a feasible course of movement considering the reaction data.

Provided is a robot control device capable of easily setting a robot operation speed which is safe for an operator. The robot control device is equipped with: a selection unit for selecting a location of a human body; an allowed speed storage unit for associating and storing the location of the human body and the allowed speed for the robot at said location; and a robot control unit for retrieving the allowed speed associated with the location selected by the selection unit from the allowed speed storage unit, and setting the smallest value for the retrieved allowed speed as the maximum speed for the robot.

Systems and methods for detection of people are disclosed. In some exemplary implementations, a robot can have a plurality of sensor units. Each sensor unit can be configured to generate sensor data indicative of a portion of a moving body at a plurality of times. Based on at least the sensor data, the robot can determine that the moving body is a person by at least detecting the motion of the moving body and determining that the moving body has characteristics of a person. The robot can then perform an action based at least in part on the determination that the moving body is a person.

A robotic arm comprising an operation end, a base, a sensor unit and a control unit is provided. The operation end is connected to the base, and the operation end is configured to reach an operational area. The sensor unit provides a sensor signal according to the force applied by or the motion of an operator. When the operation end reaches the operational area, the control unit sets a fixed position on the robotic arm between the base and the operation end. When the sensor signal from the operator fulfills a default condition, the control unit moves the robotic arm away from the operator, without moving the fixed position on the robotic arm.

Systems and methods for determining safe and unsafe zones in a workspace—where safe actions are calculated in real time based on all relevant objects (e.g., some observed by sensors and others computationally generated based on analysis of the sensed workspace) and on the current state of the machinery (e.g., a robot) in the workspace—may utilize a variety of workspace-monitoring approaches as well as dynamic modeling of the robot geometry. The future trajectory of the robot(s) and/or the human(s) may be forecast using, e.g., a model of human movement and other forms of control. Modeling and forecasting of the robot may, in some embodiments, make use of data provided by the robot controller that may or may not include safety guarantees.

The present invention is the invention for providing a guidance service by using a robot. For example, the robot may provide the guidance service in an airport. The robot may receive a destination, acquire a movement path from a current position to the destination, and transmit the movement path to the mobile terminal. The mobile terminal may receive the movement path from the robot and display a guidance path representing a movement path and a user path representing a position movement of the mobile terminal and overlapping the guidance path.

A method includes determining a movement of an industrial robot in a manufacturing environment from a first position to a second position. The method also includes displaying an image showing a trajectory of the movement of the robot on a wearable headset. The displaying of the image comprises at least one of: displaying an augmented reality (AR) graphical image or video of the trajectory superimposed on a real-time actual image of the robot, or displaying a virtual reality (VR) graphical image or video showing a graphical representation of the robot together with the trajectory.