Systems and methods for increasing the efficiency of vehicle platooning systems are described. In one aspect, drivers are more likely to enjoy a system if it begins platooning as desired and does not accidently end platoons. When a certain amount of data packets sent between vehicles are dropped, systems typically will either not engage in a platoon or end a current platoon. When a platoon has a very small gap between vehicles, the platoon should endor not start, when a certain amount of packets are dropped. However, if a gap is large enough to provide a driver with more time to react, a system may accept a greater amount of dropped packets before it refuses to start a platoon or causes the end of a platoon.

A gyroscopic roll stabilizer comprises a gimbal having a support frame and enclosure configured to maintain a below-ambient pressure, a flywheel assembly including a flywheel and flywheel shaft, one or more bearings for rotatably mounting the flywheel inside the enclosure, a motor for rotating the flywheel, and bearing cooling system for cooling the bearings supporting the flywheel. For smaller units, the bearing cooling system is effective to enable a flywheel with a moment of inertia less than 40,000 lb in.sup.2 to be accelerated at a rate of 5 rpm/s or greater. For larger units, the bearing cooling system is effective to enable a flywheel with a moment of inertia greater than 40,000 lb in.sup.2 to be accelerated at a rate of 2.5 rpm/s or greater.

The present disclosure provides a design method for an active disturbance rejection roll controller of a vehicle under disturbance of complex sea conditions, including: step 1: establishing a vehicle roll attitude control model; step 2: designing an active disturbance rejection controller (ADRC) on the basis of the control model in step 1 and a pole placement method; and step 3: performing an active disturbance rejection roll control by using the active disturbance rejection controller in step 2. The present disclosure solves the problem of a stable control of the vehicle under the disturbance of the complex sea conditions.

Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.

The present disclosure relates to the field of swarm intelligence and provides a multi-intelligent-agent cooperated transportation method and system as well as a computer readable storage medium. The method includes: establishing a transportation model of a multi-intelligent-agent formation, and performing obstacle avoidance control between intelligent agents and neighbor intelligent agents based on pheromones of the intelligent agents themselves and the neighbor intelligent agents of the intelligent agents; acquiring, by a leader intelligent agent, state information of the leader intelligent agent by utilizing a distributed observer triggered based on self-pheromone release; regulating, by utilizing an intelligent agent cooperation controller triggered based on self-pheromone release, state information of the intelligent agents according to the state information of the leader intelligent agent; and enabling the neighbor intelligent agents of the intelligent agents to jump the queue to the multi-intelligent-agent formation according to the state information of the intelligent agents when obstacles are encountered.

A method for workforce management includes receiving a service request associated with a task area from a user device, and controlling movement of an unmanned aerial machine from a home base to the task area. The unmanned aerial machine acquires evaluation data about the task area. The method also includes determining a task to be performed based on the service request, the task area, and the evaluation data. Further, the method includes selecting one or more autonomous machines to perform the task based on at least the task and a location of the task area, and controlling the selected one or more autonomous machines to perform the task

A method of determining a path along an object includes a step of determining a reference point of the object in absolute coordinates, a step of ascertaining a set of points of the object in absolute coordinates on the basis of further points of the object within a relative coordinate system, conversion of the further points of the object to the absolute coordinate system being effected on the basis of the reference point of the object, and a step of determining the path along the object on the basis of the set of points of the object, so that the path extends at a distance from the object.

In one example, a method of operating a plurality of aerial vehicles in an environment includes receiving, at a first command module of a first aerial vehicle navigating along a first flight path, sensor data from one or more sensors on board the first aerial vehicle. The sensor data reflects one or more characteristics of the environment. The method further includes determining, via the first command module, a change from a predetermined formation to a different formation for a second aerial vehicle based at least in part on the sensor data, where the predetermined formation and the different formation are relative to the first aerial vehicle. The method also including generating, via the first command module, control signals reflecting the change from the predetermined formation to the different formation and sending the control signals from the first aerial vehicle to the second aerial vehicle.

A method of determining a path along an object includes a step of determining a reference point of the object in absolute coordinates, a step of ascertaining a set of points of the object in absolute coordinates on the basis of further points of the object within a relative coordinate system, conversion of the further points of the object to the absolute coordinate system being effected on the basis of the reference point of the object, and a step of determining the path along the object on the basis of the set of points of the object, so that the path extends at a distance from the object.

Disclosed are autonomous vehicles that may autonomously navigate at least a portion of a route defined by a service request allocator. The autonomous vehicle may, at a certain portion of the route, request remote assistance. In response to the request, an operator may provide input to a console that indicates control positions for one or more vehicle controls such as steering position, brake position, and/or accelerator position. A command is sent to the autonomous vehicle indicating how the vehicle should proceed along the route. When the vehicle reaches a location where remote assistance is no longer required, the autonomous vehicle is released from manual control and may then continue executing the route under autonomous control.