An estimation device includes a memory and at least one processor. The at least one processor is configured to acquire information regarding a target object. The at least one processor is configured to estimate information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object. The estimation is based on an output of a neural model having as an input the information regarding the target object. The estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.

The present disclosure relates to the technical field of electric tools, in particular to an intelligent voice broadcast method applied to an electric tool and an electric tool, including a working unit configured for executing a work task; a power unit for driving the working unit to execute a work task by power; a signal generation unit for generating driving information and enabling the working unit to do, according to the driving information, a corresponding action; a power supply unit for supplying electric energy to the electric tool; and a control unit used as a center control part. Corresponding voice files are loaded according to different working states of the electric tool, so that a user can intuitively determine a current working state of the electric tool by sounds. Thus, the working efficiency of the user can be improved, and the learning cost of the user is also greatly reduced.

An estimation device includes a memory and at least one processor. The at least one processor is configured to acquire information regarding a target object. The at least one processor is configured to estimate information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object. The estimation is based on an output of a neural model having as an input the information regarding the target object. The estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.

An estimation device includes a memory and at least one processor. The at least one processor is configured to acquire information regarding a target object. The at least one processor is configured to estimate information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object. The estimation is based on an output of a neural model having as an input the information regarding the target object. The estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.

A teaching device for teaching a motion of a robot, including an image projector which projects an image on a projection surface in a working space of the robot; an indicator position detector which detects a position of an indicator on the projection surface; an image generator which generates or updates the image based on the position of the indicator that is detected by the indicator position detector; and a processor which calculates a teaching point for teaching a motion of the robot based on the position of the indicator.

A method for generating a control program for a laboratory automation device includes: receiving video data displaying a work area of a laboratory assistant, the work area containing a hand-held pipette and containers for receiving a liquid; detecting openings of the containers in the video data and determining positions of the openings; detecting a pipette tip of the hand-held pipette in the video data and determining a movement of the tip; and generating the control program for the laboratory automation device from the movement of the pipette tip with respect to the positions of the openings, wherein the control program is adapted for moving a pipetting arm with a robot pipette of the laboratory automation device with respect to containers of the laboratory automation device accordingly to the movement of the hand-held pipette in the work area.

A teaching device capable of teaching not only movement work but also more detailed working content. The teaching device is provided with input section for inputting work information such as work of pinching workpieces which is carried out by a robot arm at a working position. When carrying out motion capture by moving jig (an object which mimics the robot arm) which is provided with marker section, a user manipulate input section at an appropriate timing to input the working content to be performed by the robot arm as work information, and thus it is possible to set fine working content of the robot arm in teaching device. Accordingly, teaching device is capable of linking positional information of jig and the like and work information generating control information for controlling the robot arm.

A dummy tool is used to teach a robot the path the robot will follow to perform work on a workpiece to eliminate the possibility of damaging an actual tool during the training. The dummy tool provides the robot programmer an indication of potential collisions between the tool and the workpiece and other objects in the work cell when path is being taught. The dummy tool can have a detachable input/output device with a graphic user interface (GUI) that can communicate wirelessly with the robot controller. The dummy tool can also have a moveable camera attached thereto to track the relationship of the tool to objects in the work area.

An estimation device includes a memory and at least one processor. The at least one processor is configured to acquire information regarding a target object. The at least one processor is configured to estimate information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object. The estimation is based on an output of a neural model having as an input the information regarding the target object. The estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.

Provided is a robot system including a robot; a control device configured to control the robot; a portable teach pendant connected to the control device; and a teaching handle attached to the robot and connected to the control device, where the teach pendant is provided with a first enable switch configured to permit operation of the robot by the teach pendant, the teaching handle is provided with a second enable switch configured to permit operation of the robot by the teaching handle, and the control device enables operation of the robot by the teaching handle only when the first enable switch is in an off state and the second enable switch is switched to the on state, and enables operation of the robot by the teach pendant only when the second enable switch is in an off state and the first enable switch is switched to the on state.