Abstract: The invention relates to a method for generating dynamic indications relating to a modification of a route guidance. Original navigational directions are generated along an original route between a starting point and a destination. Due to modified traffic conditions, it can happen that an alternative route is preferable. Therefore an alternative route is provided which is different from the original route. According to the invention, when a vehicle is located at a current location on the original route, an alternative route to the destination is determined, comprising the location of the deviation between the original route and the alternative route. The method also comprises the generation of an acoustic indication relating to a modification of the route guidance in accordance with the zoom level of a map section, represented on a display, in respect to the location of the deviation.

Abstract: An example method includes determining identifying information for a vehicle to be serviced. The method further includes receiving at least one symptom identifier for the vehicle. The method further includes sending a request over a communication network to a remote server for a PID filter list for the vehicle, the request comprising the identifying information for the vehicle and the at least one symptom identifier for the vehicle. The method additionally includes receiving a response to the request over the communication network from the remote server, the response comprising the PID filter list for the vehicle. The method further includes determining, based on the PID filter list for the vehicle, a symptom-based subset of PIDs for the vehicle from a set of available PIDs. The method additionally includes displaying, on a display interface, the symptom-based subset of PIDs for the vehicle.

Abstract: A robot detects, through a sensor, the location and movement direction of a user and an object near the user, sets a nearby ground area in front at the feet of the user according to the detected location and movement direction of the user, controls an illumination device in the robot to irradiate the nearby ground area with light while driving at least one pair of legs or wheels of the robot to cause the robot to accompany the user, specifies the type and the location of the detected object, and if the object is a dangerous object and is located ahead of the user, controls the illumination device to irradiate a danger area including at least a portion of the dangerous object with light in addition to irradiating the nearby ground area with light.

Abstract: Systems/methods for operating an autonomous vehicle. The methods comprise, by a computing device: using sensor data to track an object that was detected in proximity to the autonomous vehicle; classifying the object into at least one dynamic state class of a plurality of dynamic state classes; transforming the at least one dynamic state class into at least one goal class of a plurality of goal classes; transforming the at least one goal class into at least one proposed future intention class of a plurality of proposed future intention classes; determining at least one predicted future intention of the object based on the proposed future intention class; and/or causing the autonomous vehicle to perform at least one autonomous driving operation based on the at least one predicted future intention determined for the object.

Abstract: A method of trajectory planning for a medical robot system is disclosed herein, wherein a pose of a first component of the robot system may be changed independently of a pose of a second component of the robot system. The method includes determining an initial status, wherein, for each degree of freedom, an initial value is measured. Based on the initial status, items of position information of at least two discrete reference points of the first component in respect of one another are determined as well as further items of position information of at least two discrete further reference points of the second component in respect of one another. Depending on the initial status, the items of position information and the further items of position information, a trajectory for the robot system is planned, which transfers the robot system from the initial status into a target status.

Abstract: Generating a robot control policy that regulates both motion control and interaction with an environment and/or includes a learned potential function and/or dissipative field. Some implementations relate to resampling temporally distributed data points to generate spatially distributed data points, and generating the control policy using the spatially distributed data points. Some implementations additionally or alternatively relate to automatically determining a potential gradient for data points, and generating the control policy using the automatically determined potential gradient. Some implementations additionally or alternatively relate to determining and assigning a prior weight to each of the data points of multiple groups, and generating the control policy using the weights.

Abstract: A vehicle control system includes a communication circuit, an internal sensor, and a controller connected to the communication circuit and the internal sensor. The controller is configured to detect an impact to a vehicle through the internal sensor, calculate an impulse for the detected impact, estimate a bump shape based on the calculated impulse, match first bump information that represents the estimated bump shape and second bump information acquired from a database by using the communication circuit, and update bump information of the database based on a matching result.

Abstract: A map generation apparatus generating a map for use in acquiring a position of a subject vehicle. The map generation apparatus includes: an in-vehicle detection unit configured to detect a situation around a subject vehicle in traveling; a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform: extracting one or more feature points from a detection data acquired by the in-vehicle detection unit; generating a map with the feature points extracted from the detection data in the extracting; recognizing a landmark on the map generated in the generating; determining an importance of the landmark recognized in the recognizing; and correcting a number of the feature points included in the map generated in the generating, based on the importance determined in the determining.

Abstract: A surgical robotic system and method involve a manipulator including a plurality of links and joints and a tool coupled to the manipulator. Controller(s) generate a first tool path to remove a first portion of material from the bone and control the manipulator to position the tool for movement along the first tool path to remove the first portion. The controller(s) sense interaction between the tool and the bone during movement of the tool along the first tool path and generate a second tool path to remove a second portion of material from the bone. Generation of the second tool path is based, at least in part, on the sensed interaction between the tool and the bone during movement along the first tool path. The controller(s) control the manipulator to position the tool for movement along the second tool path to remove the second portion.

Abstract: A system includes a first robotic machine having a first set of capabilities for interacting with a target object on stationary equipment; a second robotic machine having a second set of capabilities for interacting with the target object; and a task manager that can determine capability requirements to perform a task on the target object. The task has an associated series of sub-tasks. The task manager can assign a first sequence of sub-tasks for performance by the first robotic machine based on the first set of capabilities and a second sequence of sub-tasks for performance by the second robotic machine based on the second set of capabilities. The first and second robotic machines can coordinate performance of the first sequence of sub-tasks by the first robotic machine with performance of the second sequence of sub-tasks by the second robotic machine to accomplish the task.

Abstract: A control system in a delivery system performs a method of controlling unmanned aerial vehicles, UAVs, which are organized in a group or swarm to perform one or more missions to deliver and/or pick up goods. The method includes obtaining drag data indicative of air resistance for one or more UAVs in the group, determining, as a function of the drag data, a respective relative position of at least the one or more UAVs within the group, and controlling at least the one or more UAVs to attain the respective relative position. Such adjustment in the relative position of one or more UAVs enables improved energy efficiency and may be made to reduce energy consumption, increase reach or decrease travel time of at least one UAV in the group.

Abstract: Techniques for determining a safety margin by which to limit trajectory(ies) generated by a vehicle control system such that the vehicle will not exceed the safety margin more than a target occurrence rate. The techniques may include determining a first spectrum associated with trajectory data generated by one or more vehicles, generating a model of a vehicle, and determining a spectrum of an error signal based at least in part on the model and the first spectrum. Determining the safety margin may be based at least in part on the spectrum of the error signal and a target occurrence rate. Operation characteristics of components of the vehicle (e.g., controller, steering actuator) may be tuned based at least in part on the model, first spectrum, and/or second spectrum. The techniques enable determining safety margins for untested vehicles and/or for different operating states of a vehicle.

Abstract: Systems, methods, and computer-readable media are described for radar-based object discovery and airspace data collection and management. In some examples, a data service system deploys radars across geographic areas based on a respective radar detection range of the radars and a coverage parameter for the geographic areas, wherein each of the radars is configured to detect object parameters within the respective radar detection range. The data service system collects the object parameters from the radars, determines weather conditions and/or airspace regulations associated with the geographic areas, and models airspace conditions for the geographic areas based on the object parameters and the weather conditions and/or airspace regulations.

Abstract: Data representing a set of predicted trajectories and a planned trajectory for an autonomous vehicle is obtained. A predictability score for the planned trajectory can be determined based on a comparison of the planned trajectory to the set of predicted trajectories for the autonomous vehicle. The predictability score indicates a level of predictability of the planned trajectory. A determination can be made, based at least on the predictability score, whether to initiate travel with the autonomous vehicle along the planned trajectory. In response to determining to initiate travel with the autonomous vehicle along the planned trajectory, a control system can be directed to maneuver the autonomous vehicle along the planned trajectory.

Abstract: An autonomous work system comprises a plurality of autonomous work machines. The plurality of autonomous work machines each comprises: a distance specifying unit configured to specify a distance to another autonomous work machine based on image information obtained by imaging surroundings; and a communication unit configured to receive a GNSS signal of a self-machine, and GNSS signal information that has been acquired based on a GNSS signal that has been received by the another autonomous work machine and position information of the another autonomous work machine; and a position specifying unit configured to specify a self-position in a self-work area, based on the position information of the another autonomous work machine and a distance to the another autonomous work machine.

Abstract: A normal distributions transform (NDT) method for LiDAR point cloud localization in unmanned driving is provided. The method proposes a non-recursive, memory-efficient data structure occupation-aware-voxel-structure (OAVS), which speeds up each search operation. Compared with a tree-based structure, the proposed data structure OAVS is easy to parallelize and consumes only about 1/10 of memory. Based on the data structure OAVS, the method proposes a semantic-assisted OAVS-based (SEO)-NDT algorithm, which significantly reduces the number of search operations, redefines a parameter affecting the number of search operations, and removes a redundant search operation. In addition, the method proposes a streaming field-programmable gate array (FPGA) accelerator architecture, which further improves the real-time and energy-saving performance of the SEO-NDT algorithm. The method meets the real-time and high-precision requirements of smart vehicles for three-dimensional (3D) lidar localization.

Abstract: A vehicle includes: a cooling box in which a delivery item delivered by a deliverer can be accommodated; a communication device configured to communicate with at least one of a server and a deliverer terminal that is used by the deliverer for delivery; and a communication device configured to acquire a target value of a temperature inside the cooling box from outside. The vehicle acquires the target value of the temperature inside the cooling box from at least one of the server and the deliverer terminal.

Abstract: A method of route planning for an electric vehicle includes obtaining waypoint data that indicates waypoint locations for the electric vehicle. The method also includes generating a map and a plurality of route segments to connect each of the waypoint locations on the map. Further, the method includes calculating an optimal route for the electric vehicle to visit each of the waypoint locations by evaluating the plurality of route segments. In response to detecting changes occurring in conditions associated with each of the plurality of route segments, the method includes recalculating the optimal route for the electric vehicle.

Abstract: A method in a navigational controller includes: obtaining image data and depth data from corresponding sensors of a mobile automation apparatus; detecting an obstacle from the depth data and classifying the obstacle as one of a human obstacle and a non-human obstacle; in response to the classifying of the obstacle as the human obstacle, selecting a portion of the image data that corresponds to the obstacle; detecting, from the selected image data, a feature of the obstacle; based on a detected position of the detected feature, selecting an illumination control action; and controlling an illumination subsystem of the mobile automation apparatus according to the selected illumination control action.

Abstract: A device detects a trigger to dispense a product at a using a tool operably coupled to a tractor. The device determines whether the tractor is in an automated mode, the automated mode enabling autonomous speed and direction navigation of the tractor. Responsive to determining that the tractor is not in the automated mode, the device determines whether the tool is in a ready state, and responsive to determining that the tool is in the ready state, commands the tool to dispense the product, wherein the tool is not commanded to dispense the product until the tool is in the ready state. Responsive to determining that the tractor is in the automated mode, the device commands the tool to dispense the product without determining whether the tool is in the ready state.