A vehicle includes a sensor configured to provide sensor data indicative of an environment outside the vehicle; a transceiver configured to communicate with a server; and a controller configured to, responsive to the sensor data indicative of a predefined trigger event, send a request for remote guidance to the server, receive an instruction from the server indicative of a first trajectory having a first priority and a second trajectory having a second priority, and perform a driving maneuver to implement one of the first trajectory or the second trajectory.

A vehicle includes a sensor configured to provide sensor data indicative of an environment outside the vehicle; one or more transceivers configured to communicate with a server; and one or more controllers configured to, responsive to the sensor data indicative of a predefined trigger event, send a request for remote guidance to the server via the transceiver, receive an instruction including a plurality of waypoints from the server, determine a first section of a trajectory along a route defined by the waypoints, and perform a driving maneuver to implement the trajectory.

A method for controlling a mobile vehicle comprises the steps of selecting a control mode for autonomous driving of the mobile vehicle and transmitting information on the selected control mode to the mobile vehicle. The control mode includes a first mode and a second mode of which a restriction on a driving safety is stricter than that of the first mode. The step of selecting the control mode comprises the steps of determining whether a remote support for the mobile vehicle is required, and selecting the first mode as the control mode when it is determined that the remote support is not required whereas selecting the second mode as the control mode when it is determined that the remote support is required.

The present disclosure provides to an apparatus for managing travel of a vehicle having an autonomous travel function. The apparatus executes the following steps. The apparatus sequentially acquires sensor information from a recognition sensor mounted on the vehicle. The apparatus sequentially generates prediction information showing a position of an object at a future time point based on the sensor information acquired sequentially. The apparatus transmits a remote support request to a remote support operator. The apparatus receives a remote support given in response to the remote support request by the remote support operator. The apparatus makes the vehicle autonomously travel in accordance with the remote support in response to confirming that an actual position of an object obtained from sensor information and a predicted position of an object obtained from prediction information correspond.

An apparatus including an indicator and a video sensor arranged to generate sensor data dependent on a state of the indicator, control circuitry configured to select the state of the indicator, to process instructions received in the apparatus from a remote driving station, to provide to the remote driving station the sensor data and to at least one of: provide to the remote driving station an indication of the indicator's selected state to enable the remote driving station to detect a malfunction in the sensor data, and obtain an observation of the state of the indicator, based on the sensor data, and determine whether the observation and the selected state of the indicator are consistent, to detect a malfunction in the sensor data, wherein the apparatus is a remotely operated vehicle, or configured to be installed in one.

An apparatus including an indicator and a video sensor arranged to generate sensor data dependent on a state of the indicator, control circuitry configured to select the state of the indicator, to process instructions received in the apparatus from a remote driving station, to provide to the remote driving station the sensor data and to at least one of: provide to the remote driving station an indication of the indicator's selected state to enable the remote driving station to detect a malfunction in the sensor data, and obtain an observation of the state of the indicator, based on the sensor data, and determine whether the observation and the selected state of the indicator are consistent, to detect a malfunction in the sensor data, wherein the apparatus is a remotely operated vehicle, or configured to be installed in one.

An example method to control an autonomous vehicle includes receiving a first signal and receiving a second signal. The first signal includes a first set of parameters that define a planned trajectory for the autonomous vehicle. The second signal includes a second set of parameters that define a planned trajectory for the autonomous vehicle. The method also includes generating a third signal by modifying the first set of parameters of the first signal to include the second set of parameters of the second signal. The method also includes outputting the third signal.

Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

The present disclosure generally relates to autonomous operation of material handling vehicles within a facility, such as a factory or warehouse. An unmanned, autonomous material handling vehicle can encounter a variety of issues operating within the facility, and may need assistance to resolve such issues. The unmanned, autonomous material handling vehicle can transmit a request for assistance to a manned, non-autonomous material handling vehicle, and a human operating the manned, non-autonomous material handling vehicle can assist the unmanned, autonomous material handling vehicle.

This disclosure introduces methods and devices for robotic police officer assistance, incorporating an articulating spotlight, removable camera, spike strip delivery, and chemical agent dispenser, aiming to enhance officer safety during common police activities by allowing remote operation and minimizing the need for officers to be physically present in dangerous situations. Presented herein are methods and devices for robotic police officer assistance. The device comprises an articulating spotlight, a removeable camera, a spike strip delivery mechanism, and a chemical agent dispenser. The robot is controlled by a police officer so that the actions of the robot can be controlled from a position that is safe for the officer. By directing the robotic device, it is not necessary for an officer to be placed in in a dangerous position to conduct some of the most common police activities. When an officer is not required to put their personal safety on the line during common police activities, serious injury to police officers can be avoided. Also disclosed herein are methods of using the robotic device during police activities or emergencies that would otherwise require an officer to be put in harm's way.