A robotic singulation system is disclosed. In various embodiments, sensor data including data associated with an item present in a workspace is received. The sensor data is used to determine and implement a plan to autonomously operate a robotic structure to move and place the item singly in a corresponding location in a singulation conveyance structure. The plan takes into consideration an attribute of the item determined based at least in part on the sensor data.

In a robot remote operation which recognizes a movement of an operator and transmits the movement of the operator to a robot to operate the robot, a robot remote operation control device includes: an information acquisition part, acquiring an environment sensor value acquired by an environment sensor provided in the robot or a surrounding environment of the robot and an operator sensor value, which is information indicating the movement of the operator that is detected; and an intention estimation part, estimating a motion of the operator, which is a motion instruction with respect to the robot, by using a trained model from the operator sensor value.

A collaborative robot system having high safety when executing tasks in collaboration with operators and which can be finely adjusted at a site is achieved. A collaborative robot system according to an embodiment of the present disclosure is assembled by an operator for executing a task in collaboration with the operator. The collaborative robot system includes a driving unit, an operation unit configured to operate by a driving force of the driving unit to execute the task, a control unit configured to control the driving unit, a program executed by the control unit, a safety securing unit including a cover covering the operation unit or a sensor configured to detect contact of the operator with the operation unit, and an interface, an input apparatus of the operator being connected to the interface in order to modify the program.

A robotic singulation system is disclosed. In various embodiments, sensor data image data associated with a plurality of items present in a workspace is received. The sensor data is used to determine and implement a plan to autonomously operate a robotic structure to pick one or more items from the workspace and place each item singly in a corresponding location in a singulation conveyance structure. The plan includes performing an active measure to change or adapt to a detected state or condition associated with one or more items in the workspace.

A velocity control-based robotic system is disclosed. In various embodiments, sensor data is received from one or more sensors deployed in a physical space in which a robot is located. A processor is used to determine based at least in part on the sensor data an at least partly velocity-based trajectory along which to move an element comprising the robot. A command to implement the velocity-based trajectory is sent to the robot.

An integrated system and method for monitoring a workspace, classifying regions therein, dynamically identifying safe states, and identifying and tracking workpieces utilizes semantic analysis of a robot in the workspace and identification of the workpieces with which it interacts, as well as a semantic understanding of entity properties both governing and arising from interaction with other entities for control purposes. These properties may be stored in a profile corresponding to the entity; depending on the implementation, the profile and methods associated with the entity may be stored in a data structure corresponding to the entity “class.” Volumetric regions (e.g., voxels) corresponding to each entity may be tracked and used to implement object methods and/or control methods. For example, machinery may be controlled in accordance with the attributes specified by the objects corresponding to identified entities in a monitored workspace.

A method for operating a robotic system includes obtaining and processing first data representative of an object at a start location. An event may be detected while implementing an operation based on the image data. A gripper height that corresponds to the event may be determined. Accordingly, the method may include calculating an object height that represents a height estimate of the object.

The present disclosure relates to detecting and registering unrecognized or unregistered objects. A minimum viable range (MVR) may be derived based on inspecting image data that represents objects. The MVR may be determined to be a certain MVR or an uncertain MVR according to one or more features represented in the image data. The MVR may be used to register corresponding objects according to the certain or uncertain determination.

The present disclosure relates to detecting and registering unrecognized or unregistered objects. A minimum viable range (MVR) may be derived based on inspecting image data that represents objects at a start location. The MVR may be determined to be a certain MVR or an uncertain MVR according to one or more features represented in the image data. The MVR may be used to register corresponding objects according to the certain or uncertain determination.

The present disclosure relates to methods and systems for generating a verified minimum viable range (MVR) of an object. An exposed outer corner and exposed edges of an object may be identified by processing one or more image data. An initial MVR may be generated by identifying opposing parallel edges opposing the exposed edges. The initial MVR may be adjusted, and the adjusted result may be tested to generate a verified MVR.