Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

Techniques for navigating semi-autonomous mobile robots are described. A semi-autonomous mobile robot moves within an environment to complete a task. A navigation server communicates with the robot and provides the robot information. The robot includes a navigation map of the environment, interaction information, and a security level. To complete the task, the robot transmits a route reservation request to the navigation server, the route reservation request including a priority for the task, a timeslot, and a route. The navigation server grants the route reservation if the task priority is higher than the task priorities of conflicting route reservation requests from other robots. As the robot moves within the environment, the robot detects an object and attempts to classify the detected object as belonging to an object category. The robot retrieves an interaction profile for the object, and interacts with the object according to the retrieved interaction profile.

A method for determining residue coverage within a field after a harvesting operation may include receiving yield data associated with an estimated crop yield across a field and generating an estimated residue coverage map for the field based at least in part on the yield data. The method may further include receiving residue data associated with residue coverage across a surface of the field following the performance of a harvesting operation within the field. Additionally, the method may include generating an updated residue coverage map for the field based at least in part on the estimated residue coverage map and the residue data.

A cleaning system and a cleaning method configured for cleaning task of solar panels are provided. The cleaning system includes an operation region, cleaning robots, shuttle robots, and a data processing system. The cleaning method includes a first carrying step, a cleaning step, and a second carrying step.

An autonomous vehicle configured to autonomously pass a cyclist includes an imaging device and processing circuitry configured to receive information from the imaging device. Additionally, the processing circuitry of the autonomous vehicle is configured to identify a cyclist passing situation based on the information received from the imaging device, and plan a path of an autonomous vehicle based on the cyclist passing situation. The autonomous vehicle also includes a positioning system and the processing circuitry is further configured to receive information from the positioning system, determine if the cyclist passing situation is sufficiently identified, and identify the cyclist passing situation based on the information from the imaging device and the positioning system when the cyclist passing situation is not sufficiently identified based on the information received from the imaging device.

A collision avoidance method and system for a mobile robot crossing a road. When a mobile robot approaches a road, it senses road conditions via at least one first sensor, and initiates road crossing if the road conditions are deemed suitable for crossing. As it crosses the road, the mobile robot senses, via at least one second sensor, a change in the road conditions indicating the presence of at least one hazardous moving object. In response to determining that at least one hazardous object in present, the mobile robot initiates a collision avoidance maneuver. A mobile robot configured to avoid collisions while crossing a road includes: at least one first sensor configured to sense road conditions, at least one second sensor configured to sense road conditions, and a processing component configured to carry out one or more collision avoidance maneuvers.

A method for fulfilling a work task request using a modular autonomous vehicle is provided. The method includes transmitting a work task request specifying a work request to be performed by the modular autonomous vehicle, and identifying equipment required for performing the work task request. Once the work task request is stored at a server, the method further includes identifying information of the equipment required for performing the work task request, and determining whether equipment of the modular autonomous vehicle corresponds to the equipment required for assigning the work task to the modular autonomous vehicle. Method also includes, upon receiving in-cabin sensing data, assigning or denying the work task to the modular autonomous vehicle for performance of the work task.

Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Embodiments of the present disclosure provide a line laser module and an autonomous mobile device. The line laser module includes a fixed base, and a camera and a line laser emitter arranged on the fixed base. The line laser emitter is provided at one or more sides of the camera, and configured to emit a laser with a linear projection. The camera is configured to operate in conjunction with the line laser emitter, and to capture an environmental image. An infrared filter is arranged in front of the camera, and configured to allow only infrared light to enter the camera. The autonomous mobile device includes an infrared flashlight. The camera is configured to capture, at different time points, a first environmental image for distance measurement and a second environmental image for object identification.

Embodiments of the present disclosure provide a line laser module and an autonomous mobile device. The line laser module includes a fixed base, and a camera and a line laser emitter arranged on the fixed base. The line laser emitter is provided at one or more sides of the camera, and configured to emit a laser with a linear projection. The camera is configured to operate in conjunction with the line laser emitter, and to capture an environmental image. An infrared filter is arranged in front of the camera, and configured to allow only infrared light to enter the camera. The autonomous mobile device includes an infrared flashlight. The camera is configured to capture, at different time points, a first environmental image for distance measurement and a second environmental image for object identification.