A warehousing system includes a control terminal and a robot. The control terminal is configured to send a first control instruction including running path information to the robot. The robot is configured to carry a first material, move in a running path according to the running path information, and transport the first material to a conveyor line. The conveyor line includes at least one conveyor line inlet and at least one conveyor line outlet. The robot is configured to dock with the conveyor line and place the first material on the conveyor line at the at least one conveyor line inlet. The running path includes a first path section passes through the at least one conveyor line inlet, a second path section passes through the at least one conveyor line outlet and a third path section connected between the first path section and the second path section.

A system and method for a motorized mobile chair use a plurality of sensors having a plurality of sensor types to detect a plurality of objects and generate sensor data about the detected objects, each of the detected objects being a person, the sensor data about the objects comprising a plurality of range measurements to the people and a plurality of bearing measurements to the people. The system has at least one processor to receive the sensor data about the people, group the detected people into a plurality of zones, determine a closest person in each zone, and generate one or more control signals to cause the motorized mobile chair to match a speed and a direction of the closest person in the zone corresponding to a direction of travel of the motorized mobile chair while at least approximately maintaining a selected space to the closest person in the zone corresponding to the direction of travel of the motorized mobile chair.

The present disclosure generally relates to autonomous operation of material handling vehicles within a facility, such as a factory or warehouse. An unmanned, autonomous material handling vehicle can encounter a variety of issues operating within the facility, and may need assistance to resolve such issues. The unmanned, autonomous material handling vehicle can transmit a request for assistance to a manned, non-autonomous material handling vehicle, and a human operating the manned, non-autonomous material handling vehicle can assist the unmanned, autonomous material handling vehicle.

A modular robot is provided. The modular robot includes a sweeper module having a container for collecting debris from a surface of a location. The sweeper module is coupled to one or more brushes for contacting the surface and moving said debris into said container. Included is a robot module having wheels and configured to couple to the sweeper module. The robot module is enabled for autonomous movement and corresponding movement of the sweeper module over the surface. A controller is integrated with the robot module and interfacing with the sweeper module. The controller is configured to execute instructions for assigning of at least two zones at the location and assigning a work function to be performed using the sweeper module at each of the at least two zones. The controller is further configured for programming the robot module to activate the sweeper module in each of the two zones. The assigned work function is set for performance at each of the at least two zones. The work function can be to sweep, to scrub, to polish, to mow or to perform different work functions over zones of a location, and providing remote access to view real-time operation of the modular robot, and to program zones and other control parameters of the modular robot.

A line laser module, including: a module body; a first image capturing assembly, provided at the module body and comprising a first camera, at least one laser emitter and a first image processing module, wherein the at least one laser emitter is provided adjacent to the first camera and configured to emit a line laser with a linear projection toward outside of the module body, the first camera is configured to capture a first environment image containing the line laser, and the first image processing module is configured to acquire obstacle distance information based on the first environment image; and a second image capturing assembly, comprising a second camera and a second image processing module, wherein the second camera is configured to capture a second environment image, and the second image processing module is configured to acquire obstacle type information based on the second environment image.

A line laser module, including: a module body; a first image capturing assembly, provided at the module body and comprising a first camera, at least one laser emitter and a first image processing module, wherein the at least one laser emitter is provided adjacent to the first camera and configured to emit a line laser with a linear projection toward outside of the module body, the first camera is configured to capture a first environment image containing the line laser, and the first image processing module is configured to acquire obstacle distance information based on the first environment image; and a second image capturing assembly, comprising a second camera and a second image processing module, wherein the second camera is configured to capture a second environment image, and the second image processing module is configured to acquire obstacle type information based on the second environment image.

Some aspects include a method for operating a robot in a workspace, including: capturing, with an image sensor, image data of the workspace including objects within the workspace as the robot moves within the workspace; identifying, with a processor of the robot, at least one characteristic in the image data, wherein the at least one characteristic comprises one of: an edge, a shape, and a color; determining, with the processor, an object type of an object; and instructing, with the processor, the robot to execute at least one action based on the at least one characteristic, wherein the at least one action comprises one of: driving along a modified path and driving around the object.

The present disclosure provides an automatic recharging method for an autonomous mobile device and a system. The method includes: when the autonomous mobile device moves toward a charging base, receiving, by at least two receivers disposed on the autonomous mobile device, directional guidance signals transmitted by at least three transmitters disposed on the charging base. The method includes determining output signals corresponding to each receiver based on predetermined movement rules and the guidance signals received by each receiver. The predetermined movement rules include output signals corresponding to each receiver when each receiver receives different guidance signals. The method includes performing a vector composition on the output signals corresponding to the receivers to obtain a vector sum, and controlling movement of the autonomous mobile device based on the vector sum.

The present disclosure provides an automatic recharging method for an autonomous mobile device and a system. The method includes: when the autonomous mobile device moves toward a charging base, receiving, by at least two receivers disposed on the autonomous mobile device, directional guidance signals transmitted by at least three transmitters disposed on the charging base. The method includes determining output signals corresponding to each receiver based on predetermined movement rules and the guidance signals received by each receiver. The predetermined movement rules include output signals corresponding to each receiver when each receiver receives different guidance signals. The method includes performing a vector composition on the output signals corresponding to the receivers to obtain a vector sum, and controlling movement of the autonomous mobile device based on the vector sum.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes determining vehicle diagnostics information associated with a first autonomous vehicle that is part of a fleet of vehicles controlled by a first entity to provide a vehicle service to a second entity. The method includes determining remote inspection information that includes an assessment of one or more categories pertaining to a third entity, based at least in part on the vehicle diagnostics information. The method includes providing the remote inspection information to the third entity to provide the vehicle service.