Abstract: An example robot performs a scan to obtain image data of a given region. The robot performs image analysis on the image data to detect a set of undesirable objects, and generates a reference map that excludes the set of undesirable objects, where the reference map is associated with the location of the robot at the time of the scan.

Abstract: An example control system includes a memory and at least one processor to obtain image data from a given region and perform image analysis on the image data to detect a set of objects in the given region. For each object of the set, the example control system may classify each object as being one of multiple predefined classifications of object permanency, including (i) a fixed classification, (ii) a static and fixed classification, and/or (iii) a dynamic classification. The control system may generate at least a first layer of a occupancy map for the given region that depicts each detected object that is of the static and fixed classification and excluding each detected object that is either of the static and unfixed classification or of the dynamic classification.

Abstract: In some examples, an interaction module of a three-dimensional (3D) printer can include an interaction sub-module including a coupler, where the coupler is to connect to a tool, a first actuator to move the coupler in a first direction, and a second actuator to move the coupler in a second direction, and an analytics system to analyze the coupler and the tool during an interaction with a 3D object of the 3D printer, where the tool of the coupler is to interact with the 3D object of the 3D printer during a 3D print job.

Abstract: Example implementations relate to control systems for mobile robots. An example control system obtains sensor data from multiple onboard sensors of a robot, and, based at least in part on input detected from the multiple on-board sensors, the control system determines a physical characteristic of a human actor moving in a region where the robot operates. Based on the physical characteristic, the control system may detect a mood of the human actor and alter the operation of the robot in response to the detected mood.

Abstract: An example control system includes a memory and at least one processor to obtain image data from a given region and perform image analysis on the image data to detect a set of objects in the given region. For each object of the set, the example Memory control system may classify each object as being one of multiple predefined classifications of object permanency, including (i) a fixed classification, (ii) a static and fixed classification, and/or (iii) a dynamic classification. The control system may generate at least a first layer of a occupancy map for the given region that depicts each detected Instructions To Perform object that is of the static and fixed classification and excluding each detected object that is either of the static and unfixed classification or of the dynamic classification.

Abstract: An example robot performs a scan to obtain image data of a given region. The robot performs image analysis on the image data to detect a set of undesirable objects, and generates a reference map that excludes the set of undesirable objects, where the reference map is associated with the location of the robot at the time of the scan.