Aspects described herein include an autonomous surface vehicle (ASV) for operation within an inventory system of an environment. The ASV includes a drive system, a docking system, a plurality of sensors, and a memory storing a map of the environment. The ASV further includes one or more computer processors configured to (i) detect, using a location sensor, a location of the ASV within the environment; (ii) control the drive system to actuate the ASV toward a corridor defined in the map at a first speed setting; and control the drive system to actuate the ASV through the corridor along at least one barrier defined in the map. A second, greater speed setting is applied when (i) the location sensor indicates that the ASV is within the corridor and (ii) one or more fiducials along the at least one barrier are visually detected by one or more proximity sensors.

While operating a host vehicle in a lane, a target vehicle is detected entering the lane in front of the vehicle. A trajectory of the target vehicle is predicted based on sensor data. Upon determining that the target vehicle will pass through the lane based on the predicted trajectory, the host vehicle is operated based on determining a presence or an absence of a lead vehicle. Upon determining that the target vehicle will remain in the lane based on the predicted trajectory, the host vehicle is operated with the target vehicle as the lead vehicle.

Aspects of the technology relate to exception handling for a vehicle. For instance, a current trajectory for the vehicle and sensor data corresponding to one or more objects may be received. Based on the received sensor data, projected trajectories of the one or more objects may be determined. Potential collisions with the one or more objects may be determined based on the projected trajectories and the current trajectory. One of the potential collisions that is earliest in time may be identified. Based on the one of the potential collisions, a safety-time-horizon (STH) may be identified. When a runtime exception occurs, before performing a precautionary maneuver to avoid a collision, waiting no longer than the STH for the runtime exception to resolve.

A control device includes a direction identifying data generator that generates direction identifying data including at least a portion of acquired point group data indicating a position of a region including the ridge in front of an agricultural vehicle in a traveling direction, a direction identification part that identifies a direction of the ridge on the basis of the direction identifying data, and a travel control part that controls the agricultural vehicle such that the agricultural vehicle travels in the direction of the ridge identified by the direction identification part.

In various examples, a path perception ensemble is used to produce a more accurate and reliable understanding of a driving surface and/or a path there through. For example, an analysis of a plurality of path perception inputs provides testability and reliability for accurate and redundant lane mapping and/or path planning in real-time or near real-time. By incorporating a plurality of separate path perception computations, a means of metricizing path perception correctness, quality, and reliability is provided by analyzing whether and how much the individual path perception signals agree or disagree. By implementing this approach—where individual path perception inputs fail in almost independent ways—a system failure is less statistically likely. In addition, with diversity and redundancy in path perception, comfortable lane keeping on high curvature roads, under severe road conditions, and/or at complex intersections, as well as autonomous negotiation of turns at intersections, may be enabled.

Embodiments of present disclosure relate to a receiving station, an automatic guided vehicle (AGV), a pallet for use therewith, a conveying system, and a method for conveyance control. The receiving station comprises a carriage adapted to hook a pallet. The receiving station further comprises linear drive equipment operable to move the carriage in a first direction away from an AGV to load the pallet from the AGV or move the carriage in a second direction opposite to the first direction towards the AGV to unload the pallet onto the AGV, wherein the AGV stops near the receiving station, and wherein the carriage hooks the pallet during the movement of the carriage such that the pallet is moved along with the carriage.

An information processing apparatus, an information processing method, and an information medium control motion of a moving body according to position information corresponding to a predetermined array pattern. An information processing apparatus includes an information acquisition unit acquires position information from a sensor configured to read a predetermined array pattern, and a motion control unit controls motion of a first moving body including movement in a real space based on the position information.

Disclosed is a transporting robot which executes a mounted artificial intelligence (AI) algorithm and/or machine learning algorithm and communicates with different electronic devices and external servers in a 5G communication environment. The transporting robot includes a wheel driver, a loading box, and a robot controller. The transporting robot is provided such that a transporting service using an autonomous robot may be provided.

Systems, methods, tangible, non-transitory computer-readable media, and devices for configuration of a vehicle compartment are provided. For example, a method can include receiving, by a computing system, occupancy data based in part on one or more states of one or more objects. Based in part on the occupancy data and compartment data, a compartment configuration can be determined for one or more compartments of an autonomous vehicle. The compartment data can be based in part on a state of the one or more compartments. The compartment configuration can specify one or more spatial relations of one or more compartment components associated with the one or more compartments. One or more configuration signals can be generated based in part on the compartment configuration to control the one or more compartments of the autonomous vehicle.

Process for clearing an autonomous machine including first evaluating operation at a high curvature offline location. Following acceptable operation, the machine is placed into service and evaluated at a worksite. Following acceptable worksite operation, online operating speed of the machine is increased incrementally, and performance reevaluated. Following acceptable performance characteristics, online operating speed of the machine continues to be increased and revaluated until the machine reaches maximum designated operating speed, or is evaluated as unacceptable, in which case the machine continues to operate at the last acceptable online operating speed and identifies the unacceptable performance characteristic for further evaluation.