Abstract: Methods and systems are described that enable world geodetic system (WGS) to cartesian coordinate conversion for driving. A path of a vehicle comprising lane-group segments (LGSs) is received. The LGSs comprise respective origins in WGS coordinates, respective path points in WGS coordinates; and respective groups of constants. For a first of the LGSs, global cartesian path coordinates are calculated, based on modified Bowring techniques, for the path points of the first LGS. The coordinates are calculated using the constants of the first LGS and respective differences between the path points of the first LGS and an origin of the first LGS. The vehicle can navigate along the path using the global cartesian path coordinates calculated for the first LGS. By using modified Bowring techniques and pre-calculated constants for each LGS of the path, accuracy can be maintained over long distances and across boundaries without requiring substantial computational overhead.

Abstract: The disclosure generally relates to method and system for autonomous vehicles management in an operating environment. The method may include sending a route plan in response to a request received by an autonomous vehicle from amongst a plurality of autonomous vehicles in an operating environment including one or more devices, wherein the one or more device comprises device or device space. The method may further include categorizing the route plan into path segments, the path segments including a first path segment including one or more nodes from the plurality of nodes being inside a device zone of the one or more devices and a second path segment including one or more nodes from the plurality of nodes being outside the device zone of the one or more devices.

Abstract: An autonomous tool including a multi-sensor package enabling identification of the position of the tool in a construction site so that the tool may navigate to locations where tasks are performed. The tool may include at least one sensor from the group of a drive system encoder, stereo camera, inertial measurement unit, optical flow sensor, and LiDAR. The tool may include a holonomic drive allowing at least one tool of the mobility platform to reach the extremities of a construction site. The platform may be used as part of a system that receives design information relating to the construction site and tasks to be performed by the tool and then generates commands that control the tool to navigate along a path generated to include landmarks within range of and therefore detectable by the sensors for a large percentage of the path.

Abstract: A robotically controlled system including a fence enclosure that can move and/or shape-shift itself autonomously and automatically without manual intervention. The system includes coils of electric fence wire that are spring-loaded or otherwise tensioned so that the length of electric fence wire between each post robot is able to contract or expand as the system of robots adapts to optimize the shape of the fence enclosure as the entire enclosure is moved by the robots around a field or other grazing pasture on an area of land. At least one of the post robots is able to provide an earth ground connection that is movable as the fence enclosure is moved.

Abstract: Among other things, techniques are described for driver data guided spatial planning. A spatial structure is generated comprising a plurality of nodes connected by edges. At least some of the nodes and edges represent a path to navigate a vehicle from a first point to a second point. Edges of the spatial structure are labeled as useful based on a distance metric. The spatial structure is pruned by removing one or more edges from the spatial structure according to a respective label of the edges, wherein an extent of the removal is based on a predetermined graph size, a predetermined performance, or any combinations thereof to obtain a pruned graph. A path from the first point to the second point on the pruned graph is identified and the vehicle is navigated in accordance with the path from the first point to the second point on the pruned graph.

Abstract: Improved mobile robots and systems and methods thereof, described herein, can enhance security and monitoring services of grounds and property. And, such mobile robots and systems and methods thereof can enhance policing as well as customer service and help desk functionality. In some embodiments, the mobile robots and systems and methods thereof can enhance exploration, such as space exploration.

Abstract: Described is a system for training a neural network for estimating surface normals for use in operating an autonomous platform. The system uses a parallelizable k-nearest neighbor sorting algorithm to provide a patch of points, sampled from the point cloud data, as input to the neural network model. The points are transformed from Euclidean coordinates in a Euclidean space to spherical coordinates. A polar angle of a surface normal of the point cloud data is estimated in the spherical coordinates. The trained neural network model is utilized on the autonomous platform, and the estimate of the polar angle of the surface normal is used to guide operation of the autonomous platform within the environment.

Abstract: A computer-implemented method for controlling a vehicle includes receiving, via a processor, from two or more IX control devices disposed at a two or more stationary positions having known latitudes longitudes and orientations, first sensory data identifying the position and dimensions of a feature in a mapped region. The processor generates a plurality of IX nodes based on the first sensory data received from the IX control devices, and receives LiDAR point cloud that includes LiDAR and other vehicle sensory device data such as Inertial Measurement Unit (IMU) data received from a Vehicle (AV) driving in the mapped region. The LiDAR point cloud includes a simultaneous localization and mapping (SLAM) map having second dimension information and second position information associated with the feature in the mapped region. The processor generates, without GPS and/or real-time kinematics information, an optimized High-Definition (HD) map having Absolute accuracy using batch optimization and map smoothing.

Abstract: The present application comprises a system for controlling a plurality of autonomous vehicles on a mine site, the system comprising: a centralized platform configured to store an inventory list of vehicles travelling on the mine site and comprising a first communication interface configured to communicate missions to the vehicles; a plurality of autonomous vehicles, the autonomous vehicles comprising: a first communication interface configured to wirelessly communicate with the centralized platform for receiving a predetermined mission, a trajectory control system configured to autonomously control the autonomous vehicle according to the predetermined mission; and at least one portable device, the portable device comprising a second communication interface configured to wirelessly communicate with a second communication interface of the plurality of vehicles from the mine site.

Abstract: Distributed data sampling, including: receiving a sampling target; generating, based on one or more sensors, sampled data; determining, based on the sampling target, a value for the sampled data; and determining, based on the value for the sampled data, whether to provide the sampled data to a remotely disposed computing device.

Abstract: A controller of a machine determines jointly a sequence of control inputs defining a state trajectory of the machine and a desired knowledge of the environment by solving a multivariable constrained optimization of a model of dynamics of the machine relating the state trajectory with the sequence of control inputs subject to a constraint on admissible values of the states and the control inputs defined based on the desired knowledge of the surrounding environment represented by the state of the environment and the uncertainty of the state of the environment determined from the measurements of the environment. In such a manner, the controller performs joint but imbalance optimization of the control inputs and the sensing instructions to the sensor for learning the environment.

Abstract: Systems and methods for detecting degraded navigation sensors are based on a policy derived from a Partially Observable Markoff Decision Process (POMDP). Navigation parameters derived from the navigation sensors are provided to individual Kalman filters. A covariance of each of the filters is indicative of a probability of degradation of a sensor from which the navigation parameter is derived. Outputs of the Kalman filters are provided to a master filter. The master filter is compared to a criterion to determine whether there are indicia of a degraded sensor. If such an indicia are present, the Policy is consulted to determine which of the sensors are degraded. Consideration of degraded sensors when navigating a vehicle is inhibited.

Abstract: An electronic apparatus for providing a traversability map of a robot and a controlling method thereof are provided. The electronic apparatus includes a transceiver, a memory configured to store feature information of each of a plurality of robots, and at least one processor configured to receive sensing data obtained by sensing vicinity by at least one external device from the external device from the at least one external device, through the transceiver, generate at least one map with respect to a space where the at least one external device is positioned based on the received sensing data, generate a traversability map for traversal of a robot based on feature information of at least one robot among the plurality of robots and the generated at least one map, and control the transceiver to transmit the traversability map to the robot.

Abstract: Synchronization of multiple vehicles in an independent cart system to reduce spacing and increase throughput designates one of the movers as a leader and at least one additional mover as a follower, defining a chain of vehicles. A motion command for the chain is provided to a controller for the leader, and the controller generates a motion profile. The controller passes this motion profile to a controller for each of the follower movers. If the follower is unable to maintain the motion profile for the leader, the controller for the follower generates a message to the controller for the leader indicating a modification to the motion profile is required. The controller for the leader modifies the motion profile and forwards the modified motion profile to controllers for each follower. If all movers are following the modified profile, the controller for the leader may return to the original motion profile.

Abstract: A system for automated formation flight is disclosed. The system may include a formation commander sub-system including a task-based interface configured to receive a sequence of one or more task-based commands along with one or more sets of task-based options for each of the one or more task-based commands from an operator using one or more task-based selectable buttons of the task-based interface. The system may further include a formation manger sub-system communicatively coupled to the formation commander sub-system. Each vehicle of one or more vehicles within one or more teams may be configured to employ the formation manager sub-system. The formation manager sub-system may be configured to receive the one or more task-based commands along with the one or more sets of task-based options for each vehicle to perform.

Abstract: Techniques are described to determine parameters and/or values for a control model that can be used to operate an autonomous vehicle, such as an autonomous semi-trailer truck. For example, a method of obtaining a data-driven model for autonomous driving may include obtaining data associated with a first set of variables that characterize movements of an autonomous vehicle over time and commands provided to the autonomous vehicle over time, determining, using at least the first set of data, non-zero values and an associated second set of variables that describe a control model used to perform an autonomous driving operation of the autonomous vehicle, and calculating values for a feedback controller that describes a transfer function used to perform the autonomous driving operation of the autonomous vehicle driven on a road.

Abstract: A method of operating an apparatus for predicting and redistributing a personal mobility vehicle (PM vehicle) demand for shared PM vehicles includes generating demand information for the PM vehicles for a plurality of areas according to time, generating current distribution information for the PM vehicles positioned in the plurality of areas, generating target distribution information based on the demand information and the current distribution information, and redistributing the PM vehicles according to the target distribution information.

Abstract: Systems and methods are provided for autonomous vehicle passenger safety monitoring following an autonomous vehicle route. In particular, an autonomous vehicle waits for a selected time period after a passenger exits the vehicle. In some examples, the autonomous vehicle remains until the passenger has entered a building at the passenger's destination. In some examples, the autonomous vehicle remains until the passenger is no longer detectable by the vehicle's sensors. During the waiting period, the passenger may choose to re-enter the vehicle.

Abstract: Techniques are disclosed for training one or more cost functions of an autonomous vehicle (“AV”) control system based on difference between data generated using the AV control system and manual driving data. In many implementations, manual driving data captures action(s) of a vehicle controlled by a manual driver. Additionally or alternatively, multiple AV control systems can be evaluated by comparing deviations for each AV control system, where the deviations are determined using the same set of manual driving data.

Abstract: A method of operating a remote controller for controlling one or more vehicles that are remotely controllable includes performing communication connection between a main controller of the remote controller and each of the one or more vehicles, the main controller including at least one processor; checking setting information of one or more secondary controllers connected to the main controller; and transmitting an input obtained by each of the one or more secondary controllers to a respective at least one vehicle of the one or more vehicles by referring to the setting information.