An autonomous mowing system comprising: a memory configured to hold a set of path data defining a set of paths, the set of paths comprising a transit path to a maintenance area and a set of mow paths to cover the maintenance area; a processor coupled to the memory; a computer-readable medium coupled to the processor, the computer-readable medium storing a set of instructions executable by the processor, the set of instructions comprising instructions for: using the set of path data, determining a plurality of candidate routes that traverse the transit path and fully cover the maintenance area and a total cost for each of the plurality of candidate routes; determining a least cost route from the plurality of candidate routes; and configuring an autonomous mower to follow the least cost route to mow the maintenance area.

An autonomous mowing system comprising: a memory configured to hold a set of path data defining a set of paths, the set of paths comprising a transit path to a maintenance area and a set of mow paths to cover the maintenance area; a processor coupled to the memory; a computer-readable medium coupled to the processor, the computer-readable medium storing a set of instructions executable by the processor, the set of instructions comprising instructions for: using the set of path data, determining a plurality of candidate routes that traverse the transit path and fully cover the maintenance area and a total cost for each of the plurality of candidate routes; determining a least cost route from the plurality of candidate routes; and configuring an autonomous mower to follow the least cost route to mow the maintenance area.

The present disclosure provides systems and methods that control the motion of an autonomous vehicle by rewarding or otherwise encouraging progress toward a goal, rather than simply rewarding distance travelled. In particular, the systems and methods of the present disclosure can project a candidate motion plan that describes a proposed motion path for the autonomous vehicle onto a nominal pathway to determine a projected distance associated with the candidate motion plan. The systems and methods of the present disclosure can use the projected distance to evaluate a reward function that provides a reward that is positively correlated to the magnitude of the projected distance. The motion of the vehicle can be controlled based on the reward value provided by the reward function. For example, the candidate motion plan can be selected for implementation or revised based at least in part on the determined reward value.

Various technologies described herein pertain to routing an autonomous vehicle based upon risk of takeover of the autonomous vehicle by a human operator. A computing system receives an origin location and a destination location of the autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a computer-implemented model. The computer-implemented model is generated based upon labeled data indicative of instances in which autonomous vehicles are observed to transition from operating autonomously to operating based upon conduction by human operators while the autonomous vehicles are executing predefined maneuvers. The computer-implemented model takes, as input, an indication of a maneuver in the predefined maneuvers that is performed by the autonomous vehicle when the autonomous vehicle follows a candidate route. The autonomous vehicle then follows the route from the origin location to the destination location.

A vehicle is autonomously driven in an environment where a first road for vehicles running in a first direction and a second road for vehicles running in a second direction, different from the first direction, are provided alongside each other, and where a first parking space that is entered from the first road and exited to the first road is set and a second parking space that is entered from the second road and exited to the second road is set. When the vehicle is temporarily parked in the first parking space and a running direction of the vehicle heading for the next destination after being parked is the second direction, the vehicle is transferred from the first parking space to the second parking space by autonomous driving after a user of the vehicle gets out of the vehicle.

A method for controlling a plurality of mobile robots is to be implemented by a server that communicates with the plurality of mobile robots and a communication device. The server stores a predetermined working route related to a target area. The method includes steps of: receiving a working instruction from the communication device, the working instruction including area information related to the target area and an input quantity of mobile robots; in response to receipt of the working instruction, dividing the predetermined working route into a plurality of sub-routes, wherein a quantity of the sub-routes equals the input quantity of mobile robots; and sending the sub-routes respectively to a plurality of selected robots that are selected from among the plurality of mobile robots to make the selected robots cooperatively implement a task on the target area by moving along the sub-routes, respectively.

A robot with the perception capability of livestock and poultry information and a mapping approach based on autonomous navigation are disclosed. The robot includes a four-wheeled vehicle (3), an autonomous navigation system, a motion module and an information acquisition module. The autonomous navigation system includes a LiDAR (10), a RGB-D camera (9), an inertial measurement unit (5), an odometer and a main control module (12). The information acquisition module includes two thermal imagers (6), an environmental detection sensor module (8) and a wireless transmission module (11). The robot is controlled in indoor working environment, and simultaneously information about surrounding environment during movement is obtained with the autonomous navigation system; positioning locations are obtained through data processing and a global map is constructed, which can improve positioning accuracy, reduce dependence on breeders, realize automatic environment detection. The present invention has the advantages of high efficiency, high economic benefits, and wide applicability.

A robot with the perception capability of livestock and poultry information and a mapping approach based on autonomous navigation are disclosed. The robot includes a four-wheeled vehicle (3), an autonomous navigation system, a motion module and an information acquisition module. The autonomous navigation system includes a LiDAR (10), a RGB-D camera (9), an inertial measurement unit (5), an odometer and a main control module (12). The information acquisition module includes two thermal imagers (6), an environmental detection sensor module (8) and a wireless transmission module (11). The robot is controlled in indoor working environment, and simultaneously information about surrounding environment during movement is obtained with the autonomous navigation system; positioning locations are obtained through data processing and a global map is constructed, which can improve positioning accuracy, reduce dependence on breeders, realize automatic environment detection. The present invention has the advantages of high efficiency, high economic benefits, and wide applicability.

A control device includes a master storage part that stores map data including obstacle information and environmental parameter information on an environmental parameter that may influence an object to be transported, and a transport path determination part that, based on a transport instruction and the map data, determines a transport path according to the object to be transported, which is indicated by transported object information included in the transport instruction, in consideration of the environmental parameter that may influence the object to be transported.

A control device includes a master storage part that stores map data including obstacle information and environmental parameter information on an environmental parameter that may influence an object to be transported, and a transport path determination part that, based on a transport instruction and the map data, determines a transport path according to the object to be transported, which is indicated by transported object information included in the transport instruction, in consideration of the environmental parameter that may influence the object to be transported.