A robot includes a main body, a handlebar disposed on the main body and grippable by a user, a detection unit that detects a load applied to the handlebar, a moving device including a rotating body and moving the robot by controlling the rotation of the rotating body, and a switching unit that switches a support mode for supporting the user with walking. The support mode includes a first mode in which the robot autonomously moves to guide the user who is walking and a second mode in which the robot moves in accordance with a first load detected by the detection unit. When the robot moves in the first mode, the switching unit switches the support mode from the first mode to the second mode on the basis of the second load detected by the detection unit.

A method for controlling an autonomous mobile robot for carrying out a task in a local region of an area of application of the robot. According to one embodiment, the method comprises the following steps: positioning the robot in starting position within the area of application of the robot; detecting information relating to the surroundings of the robot by means of at least one sensor; selecting a region with a determined geometric basic shape; and automatically determining, based on the detected information relating to the surroundings, at least one of the two following parameters: size and position (also including the orientation/alignment) of the selected region.

A visual display for use by a user for navigation and obstacle avoidance. A typical user employs the invention in operating a vehicle. The user may be located in the vehicle but will more typically be remotely located. The display may include a conventional video feed. A visual arch metaphor is also provided. If used in conjunction with a video feed, the arch metaphor preferably extends from the left side of the video, over the top of the video, and on to the right side of the video. A ranging device mounted on the vehicle collects ranging data around the vehicle. As an example, the ranging device might collect 180 degrees of ranging data extending from the vehicle's left side, across the vehicle's front, and over to the vehicle's right side. The ranging data is then correlated to a predefined color scale. The ranging data is also correlated to a position on the arch metaphor.

Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.

Systems, methods, tangible non-transitory computer-readable media, and devices for autonomous vehicle operation are provided. For example, a computing system can receive object data that includes portions of sensor data. The computing system can determine, in a first stage of a multiple stage classification using hardware components, one or more first stage characteristics of the portions of sensor data based on a first machine-learned model. In a second stage of the multiple stage classification, the computing system can determine second stage characteristics of the portions of sensor data based on a second machine-learned model. The computing system can generate an object output based on the first stage characteristics and the second stage characteristics. The object output can include indications associated with detection of objects in the portions of sensor data.

This disclosure relates generally to systems and methods for object detection using a geometric semantic map based robot navigation using an architecture to empower a robot to navigate an indoor environment with logical decision making at each intermediate stage. The decision making is further enhanced by knowledge on actuation capability of the robots and that of scenes, objects and their relations maintained in an ontological form. The robot navigates based on a Geometric Semantic map which is a relational combination of geometric and semantic map. In comparison to traditional approaches, the robot's primary task here is not to map the environment, but to reach a target object. Thus, a goal given to the robot is to find an object in an unknown environment with no navigational map and only egocentric RGB camera perception.

A robot device includes: a sensor configured to generate sensing data related to an action of the robot device; a communication interface configured to communicate with a server; a memory storing instructions; and a processor configured to execute the instructions to: based on the action of the robot device changing, store action data in the memory, the action data including instruction data corresponding to the action, the sensing data related to the action, and map data related to the action, transmit, to the server via the communication interface, the action data stored in the memory, receive, from the server via the communication interface, threshold data corresponding to the action, and based on identifying that the sensing data is outside of a threshold range based on the threshold data received from the server, generate an event.

There is provided a cleaning robot including a light source module, an image sensor and a processor. The light source module projects a line pattern and a speckle pattern toward a moving direction. The image sensor captures an image of the line pattern and an image of the speckle pattern. The processor calculates one-dimensional depth information according to the image of the line pattern and calculates two-dimensional depth information according to the image of the speckle pattern.

Generally, the present disclosure is directed to systems and methods for streaming processing within one or more systems of an autonomy computing system. When an update for a particular object or region of interest is received by a given system, the system can control transmission of data associated with the update as well as a determination of other aspects by the given system. For example, the system can determine based on a received update for a particular aspect and a priority classification and/or interaction classification determined for that aspect whether data associated with the update should be transmitted to a subsequent system before waiting for other updates to arrive.

A mobile robot and a method of controlling the same are provided, and more specifically, a technology of automatically generating a map of a lawn working area by a lawn mower robot. The mobile robot includes one or more tags configured to receive a signal from one or more beacons, a vision sensor configured to distinguish and recognize a first area and a second area on a travelling path of the mobile robot and acquire position information of a boundary line between the first area and the second area, and at least one processor configured to determine position coordinates of the mobile robot based on pre-stored position information of the one or more beacons, determine position coordinates of the boundary line based on the determined position coordinates of the mobile robot and the acquired position information of the boundary line, and generate a map of the first area while travelling along the determined position coordinates of the boundary line.