An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

Aspects of the disclosure relate to stopping a vehicle. For instance, a vehicle is controlled in an autonomous driving mode by generating first commands for acceleration control and sending the first commands to an acceleration and/or steering actuator of an acceleration system of the vehicle in order to cause the vehicle to accelerate. Acceleration and/or orientation of the vehicle is monitored while the vehicle is being operated in an autonomous driving mode. The monitored acceleration and/or orientation is compared with the first commands. An error with the acceleration and/or steering system is determined based on the comparison. When the error is determined, the vehicle is controlled in the autonomous driving mode by generating second commands which do not require any acceleration and/or steering.

A UAV control method and device, a remote controller and a storage medium are provided. The method includes: obtaining UAV control mode switching request information to request to switch from a first control mode to a second control mode; in response to the switching request information, detecting whether the position of an accelerator control member in its operating range is within a region of hovering range. In the second control mode, when the accelerator control member is within the region of hovering range, the UAV maintains a hovering state in a vertical direction; if it is detected that the accelerator control member is located in the region of hovering range, the control mode of the UAV is switched from the first control mode to the second control mode, otherwise, refuse to switch the control mode of the UAV from the first control mode to the second control mode.

A system for path control for a mobile unmanned vehicle in an environment is provided. The system includes: a sensor connected to the mobile unmanned vehicle; the mobile unmanned vehicle configured to initiate a first fail-safe routine responsive to detection of an object in a first sensor region adjacent to the sensor; and a processor connected to the mobile unmanned vehicle. The processor is configured to: generate a current path based on a map of the environment; based on the current path, issue velocity commands to cause the mobile unmanned vehicle to execute the current path; responsive to detection of an obstacle in a second sensor region, initiate a second fail-safe routine in the mobile unmanned vehicle to avoid entry of the obstacle into the first sensor region and initiation of the first fail-safe routine.

An attitude control device is provided and includes a control unit that determines a gravity direction in a flying object on a basis of static acceleration components computed on a basis of a first acceleration detection signal obtained by detecting dynamic acceleration components acting on the flying object and a second acceleration detection signal obtained by detecting the dynamic acceleration components and the static acceleration components acting on the flying object, and controls an attitude of the flying object on a basis of the gravity direction.

A method for operating a materials handling vehicle is provided comprising: monitoring, by a controller, a first vehicle drive parameter corresponding to a first direction of travel of the vehicle during a first manual operation of the vehicle by an operator and concurrently monitoring, by the controller, a second vehicle drive parameter corresponding to a second direction different from the first direction of travel during the first manual operation of the vehicle by an operator. The controller receives, after the first manual operation of the vehicle, a request to implement a first semi-automated driving operation. Based on the first and second monitored vehicle drive parameters during the first manual operation, the controller controls implementation of the first semi-automated driving operation.

Methods and systems according to one or more examples are provided for controlling a multi-rotor vehicle. In one example, a multi-rotor vehicle comprises an airframe and a plurality of rotors coupled to the airframe. The multi-rotor vehicle further comprises a controller, coupled to the airframe, configured to determine a rotational speed of each of the plurality of rotors, and adjust the rotational speed of each of the plurality of rotors such that the rotors do not dwell within a no-dwell zone comprising rotational speeds associated with one or more frequency aspects of the airframe.

An autonomous mobile robot is described having a propulsion module designed to move the robot in its surroundings, a control module designed to transmit control commands to the propulsion module, the control commands being designed to control the movement of the robot, and a security module designed to detect a dangerous situation, classing an actual movement of the robot as dangerous on the basis of predetermined criteria, and to change or stop the movement of the robot when the movement is classed as dangerous.

A drive unit of a robotic vehicle including a top surface having a mounting interface to interchangeably couple with multiple different modular payload structures configured to transport items in a facility, workspace or inventory management environment. The mounting interface is configured to securely engage with a mounting portion of the variety of different payload structures to enable a versatile exchange of the payload structure for different conveyance applications. The drive unit includes an electrical interface to communicatively couple with the modular payload structures. The drive unit is configured to use data communicated via the electrical coupling and interface to identify a type of modular payload structure that is mechanically coupled to the mounting interface and implement a motion profile (e.g., speed and acceleration parameters) associated with the identified modular payload structure.

Systems and methods for controlling an autonomous vehicle steering mechanism are provided. In one example embodiment, a computer implemented method includes obtaining, by a computing system that includes one or more computing devices, data associated with a steering mechanism of an autonomous vehicle. The method includes identifying, by the computing system, a rate of change associated with the steering mechanism of the autonomous vehicle based at least in part on the data associated with the steering mechanism. The method includes determining, by the computing system, that the rate of change exceeds a rate limit associated with the steering mechanism of the autonomous vehicle. In response to determining that the rate of change exceeds the rate limit, the method includes adjusting, by the computing system, the steering mechanism of the autonomous vehicle.