Autonomous machine navigation involves determining a current pose of an autonomous machine based on non-vision-based pose data captured by one or more non-vision-based sensors of the autonomous machine. The pose represents one or both of a position and an orientation of the autonomous machine in a work region defined by one or more boundaries. Pose data is determined based on a return signal received in response to a wireless signal transmitted to a surface or subsurface object that passively provides the return signal. The return signal is identifiable with the object. The current pose is updated based on the pose data to correct or localize the current pose and to provide an updated pose of the autonomous machine in the work region.

An autonomous tilting three-wheeled vehicle comprises a pair of front wheels coupled to a tiltable chassis by a mechanical linkage, such that the pair of wheels and the chassis are configured to tilt in unison with respect to a roll axis of the chassis. An electronic controller of the autonomous vehicle controls a tilt actuator to selectively tilt the chassis. Optionally, a steering actuator is coupled to the front wheels and controlled by the electronic controller to selectively steer the wheels. A sensor configured to measure orientation-dependent information may be coupled to the chassis by a gimbal configured to compensate for vehicle tilt. In some examples, the autonomous vehicle comprises an autonomous delivery robot.

An autonomous robotic exploration method based on a reduced approximated generalized Voronoi graph, the method including: 1) constructing a reduced approximated generalized Voronoi topological map based on a morphological method; 2) obtaining an Next-Best-View and planning a global path from the robot to the Next-Best-View; and 3) navigating to the Next-Best-View along the global path R={r.sub.0, r.sub.1, r.sub.2, . . . , p.sub.NBV} based on a visual force field (VFF) algorithm.

Generally, the present disclosure is directed to systems and methods for streaming processing within one or more systems of an autonomy computing system. When an update for a particular object or region of interest is received by a given system, the system can control transmission of data associated with the update as well as a determination of other aspects by the given system. For example, the system can determine based on a received update for a particular aspect and a priority classification and/or interaction classification determined for that aspect whether data associated with the update should be transmitted to a subsequent system before waiting for other updates to arrive.

Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.

A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

The disclosed subject matter includes a method and system for navigating an unmanned ground vehicle (UGV), that include: generating, based on the scanning output data, a first map comprising a first group of cells and characterized by a first size; generating, based on the scanning output data, a second map representing an area smaller than that of the first map comprising a second group of cells, which are characterized by a second size being smaller than the first size; wherein each cell in the first group of cells and the second group of cells is classified to a class selected from at least two classes, comprising traversable and non-traversable, wherein the second part at least partly overlaps the first part; navigating the UGV based on data deduced from crossing between cells in the first map and second map.

Provided herein is a system and method of a vehicle that detects a signal and reacts to the signal. The system comprises one or more sensors; one or more processors; a memory storing instructions that, when executed by the one or more processors, causes the system to perform detecting a signal from a source; determining an intended action of the vehicle based on the detected signal; sending, to the source, a response signal indicative of the intended action; determining whether the source has sent a response to the response signal; and in response to determining that the source has sent a response to the response signal, taking the intended action based on the response to the response signal.

A vehicular radar sensing system includes a radar sensor configured to be disposed at a vehicle. The radar sensor includes a plurality of antennas that include a plurality of transmitting antennas that transmit radio signals and a plurality of receiving antennas that receive radio signals. The radar sensor provides radar data to a processor that processes the provided radar data to detect an object present in the field of sensing of the radar sensor. At least some antennas of the plurality of antennas include waveguides having T-shaped slots, with each T-shaped slot having a longitudinal portion and a transverse portion that extends transverse from the longitudinal portion, and with a width of the transverse portion being less than a length of the longitudinal portion.

The present invention relates to a driverless transport system (81), comprising a plurality of driverless transport devices (10) having a support structure (12) with an outer contour (14); an undercarriage (16) which is secured to the support structure (12) and has at least one first wheel (18) and a second wheel (20), wherein the first wheel (18) is mounted in the undercarriage (16) so as to rotate about a first axis of rotation (D1) and the second wheel (20) is mounted in the undercarriage (16) so as to rotate about a second axis of rotation (D1); a drive unit (22) by means of which the first wheel (18) and the second wheel (20) can be driven independently of each other; a control unit (94) for controlling or regulating the driverless transport devices (10); and a communication device (76) by means of which information can be exchanged between the control unit (94) and the driverless transport devices (10), wherein one of the driverless transport devices (10) is designed as a master (86) and the other driverless transport devices (10) are designed as slaves (88).