A robot system includes a storage device configured to store a predefined work requirement that indicates a processing target region of a workpiece to be processed by a robot, and circuitry configured to recognize an environment of a working space in which the workpiece is placed, as a work environment. The work environment includes a position and a posture of the workpiece placed in the working space. The circuitry is further configured to identify the processing target region of the workpiece placed in the working space, based on the position and posture of the workpiece placed in the working space. The circuitry is further configured to generate, in real-time, a path of the robot to operate on the identified processing target region based on the work requirement and the identified processing target region; and control the robot based on the generated path.

A robotic imaging system includes a camera configured to obtain one or more images of a target site. A robotic arm is operatively connected to the camera, the robotic arm being adapted to selectively move the camera in a movement sequence. The robotic imaging system includes a sensor configured to detect and transmit sensor data related to a respective position and/or a respective speed of the camera. A controller is configured to receive the sensor data, the controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is adapted to selectively execute a collision avoidance mode, which includes determining a trajectory scaling factor for the camera. The trajectory scaling factor is applied to modulate the respective speed when the camera and/or the robotic arm are in a predefined buffer zone.

A robot system including a robot apparatus and an imaging apparatus includes a control apparatus configured to control the robot apparatus and the imaging apparatus, and the control apparatus controls, based on a path in which a predetermined part of the robot apparatus is moved, a movement of the imaging apparatus to image the predetermined part even if the robot apparatus is moved.

A method and a system for the exact positioning an autonomous robot device relative to a stationary structure, such as a DBCS robot in a delivery bin and sorting facility. The robot device is driven from a starting position towards a target position. An absolute positioning sensor is used to monitor the approach to towards an assumed absolute position of the target. Once the target position has entered the field of view of a vision sensor mounted to the robot device, the vision sensor takes an instantaneous image of a visual marker at the target position. The image is evaluated to determine a deviation of an actual location of the target position from the assumed target position. The latter is corrected by adding the deviation to the assumed target position. The robot device then continues and is stopped exactly at the corrected target position.

A method for guiding a robot equipped with a camera to facilitate three-dimensional (3D) reconstruction through sampling based planning includes recognizing and localizing an object in a two-dimensional (2D) image. The method also includes computing 3D depth maps for the localized object. A 3D object map is constructed from the depth maps. A sampling based structure is grown around the 3D object map and a cost is assigned to each edge of the sampling based structure. The sampling based structure may be searched to determine a lowest cost sequence of edges that may, in turn be used to guide the robot.

A method and a system for the exact positioning an autonomous robot device relative to a stationary structure, such as a DBCS robot in a delivery bin and sorting facility. The robot device is driven from a starting position towards a target position. An absolute positioning sensor is used to monitor the approach to towards an assumed absolute position of the target. Once the target position has entered the field of view of a vision sensor mounted to the robot device, the vision sensor takes an instantaneous image of a visual marker at the target position. The image is evaluated to determine a deviation of an actual location of the target position from the assumed target position. The latter is corrected by adding the deviation to the assumed target position. The robot device then continues and is stopped exactly at the corrected target position.

A robot system including a robot apparatus and an imaging apparatus includes a control apparatus configured to control the robot apparatus and the imaging apparatus, and the control apparatus controls, based on a path in which a predetermined part of the robot apparatus is moved, a movement of the imaging apparatus to image the predetermined part even if the robot apparatus is moved.

A method, a drone device, and an adaptive robot control system (ARCS) for adaptively controlling a programmable robot are provided. The ARCS receives environmental parameters of a work environment where the drone device operates and geometrical information of a target object to be operated on by the programmable robot. The ARCS dynamically receives a calibrated spatial location of the target object in the work environment based on the environmental parameters and a discernment of the target object from the drone device. The ARCS determines control information including parts geometry of the target object, a task trajectory of a task to be performed on the target object, and a collision-free robotic motion trajectory for the programmable robot, and dynamically transmits the control information to the programmable robot via a communication network to adaptively control the programmable robot while accounting for misalignments of the target object in the work environment.

A method for guiding a robot equipped with a camera to facilitate three-dimensional (3D) reconstruction through sampling based planning includes recognizing and localizing an object in a two-dimensional (2D) image. The method also includes computing 3D depth maps for the localized object. A 3D object map is constructed from the depth maps. A sampling based structure is grown around the 3D object map and a cost is assigned to each edge of the sampling based structure. The sampling based structure may be searched to determine a lowest cost sequence of edges that may, in turn be used to guide the robot.

A robotic imaging system includes a camera configured to obtain one or more images of a target site. A robotic arm is operatively connected to the camera, the robotic arm being adapted to selectively move the camera in a movement sequence. The robotic imaging system includes a sensor configured to detect and transmit sensor data related to a respective position and/or a respective speed of the camera. A controller is configured to receive the sensor data, the controller having a processor and tangible, non-transitory memory on which instructions are recorded. The controller is adapted to selectively execute a collision avoidance mode, which includes determining a trajectory scaling factor for the camera. The trajectory scaling factor is applied to modulate the respective speed when the camera and/or the robotic arm are in a predefined buffer zone.