A robot system includes at least one robot, a first sensor, at least one second sensor, and circuitry. The at least one robot is to work on a workpiece. The first sensor is to detect a three-dimensional shape of the workpiece. The at least one second sensor is to detect a three-dimensional position of the workpiece. The circuitry is configured to control the at least one robot based on teaching data. The circuitry is configured to correct the teaching data according to the three-dimensional shape detected by the first sensor. The circuitry is configured to correct the teaching data according to the three-dimensional position detected by the at least one second sensor.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sharing learned information among robots. In some implementations, a robot obtains sensor data indicating characteristics of an object. The robot determines a classification for the object and generates an embedding for the object using a machine learning model stored by the robot. The robot stores the generated embedding and data indicating the classification for the object. The robot sends the generated embedding and the data indicating the classification to a server system. The robot receives, from the server system, an embedding generated by a second robot and a corresponding classification. The robot stores the received embedding and the corresponding classification in the local cache of the robot. The robot may then use the information in the cache to identify objects.

An arrangement for automatically removing a strip of dark meat from a fish fillet has a conveying unit for transporting the fish fillet from an inlet to an outlet area in a transport direction along a transport path. Starting from the inlet area, successively along the transport path, are provided: a detector for detecting dark meat; a first cutting apparatus for removing a middle partial strip of dark meat; an opener for opening up the fillet such that the cut surfaces of a ventral-side partial and of a dorsal-side partial strip of dark meat point upwards; a cutting unit for removing the partial strips, the cutting unit comprising second and third cutting apparatuses for removing the ventral and dorsal-side partial strips. A control device is connected to the detector and the cutting apparatus, and all cuts are based on information from the detector.

A humanoid robot balance control method, a humanoid robot, and a storage medium are provided. The method includes: obtaining a task equation of each of a plurality of deconstructed tasks in a corresponding control cycle by solving a plurality of deconstructed task models using a relevant actual state and a corresponding expected state of the humanoid robot; calculating an optimal solution of a multi-task error optimization function based on each task equation; and generating a joint control instruction of the corresponding control cycle based on the optimal solution in response to the optimal solution being obtained within the corresponding control cycle so as to control corresponding joint(s) to execute the tasks. In such manner, it can ensure that the robot satisfies the necessary constraints while executing multiple tasks, and also comprehensively considers the errors of all the tasks to ensure the execution of all the tasks.

This teaching device comprises: a user interface unit capable of displaying a creation screen for a robot program; a teaching point display control unit for controlling displaying of previously taught teaching points on the creation screen; a teaching point selection unit for selecting a specific teaching point from the displayed teaching points; and a teaching point reuse unit for reusing the selected teaching point as a new teaching point for a robot program being created. The previously taught teaching points include at least one of a teaching point taught previously for the robot program being created and a teaching point taught previously for another robot program different from the robot program.

A chairless chair exoskeleton in order to provide seating support to the user while the user is standing particularly in industrial field includes at least one foot connection element for being connected to the foot of the user and at least one calf support element connected to said foot connection element, and at least one thigh support element connected to said calf support element by means of at least one joint and at least one energy storage element associated to the thigh support element from one side and associated to the calf support element from the other side.

An end-effector system is disclosed for use with a programmable motion device. The end-effector system includes an arm attachment portion for attachment to an arm of the programmable motion device, an end-effector attachment portion for attachment to an end-effector for grasping objects, a rotational shaft portion for rotational attachment to the arm attachment portion, said rotational shaft portion being coupled to the end-effector attachment portion at a distal end thereof, and a motor system providing rotation of the rotational shaft portion as well as the end-effector attachment portion with respect to the arm attachment portion.

A device sized and shaped for insertion into a body comprising: at least one mechanical limb comprising: a support segment; a first flexible section extending from the support segment and terminating in a coupling section; and a second flexible section extending from the coupling section and terminating in a tool or a connector for a tool; wherein a long axis of one or more of the flexible sections is bendable in a single bending plane; wherein a long axis length of the first flexible section is at least double a maximum extent of the first flexible section perpendicular to a flexible section long axis; wherein a long axis length of the second flexible section is at least double a maximum extent of the second flexible section perpendicular to a flexible section long axis.

Methods and systems are described for robot transportation of objects into or out of a home automation system. One example may include determining, by a mobile robotic device, that an object is available to cross a boundary of the home automation system. The method may include deactivating at least a portion of the home automation system. The method also include retrieving, by the mobile robotic device, the object and transporting, by the mobile robotic device, the object across the boundary. The method further includes leaving, by the mobile robotic device, the object at a drop-off location. The method may also include reactivating at least the portion of the home automation system.

Methods and apparatus related to receiving a request that includes robot instructions and/or environmental parameters, operating each of a plurality of robots based on the robot instructions and/or in an environment configured based on the environmental parameters, and storing data generated by the robots during the operating. In some implementations, at least part of the stored data that is generated by the robots is provided in response to the request and/or additional data that is generated based on the stored data is provided in response to the request.