There is provided a mobile robot that performs the obstacle avoidance, positioning and object recognition according to image frames captured by the same optical sensor. The mobile robot includes an optical sensor, a light emitting diode, a laser diode and a processor. The processor identifies an obstacle and a distance thereof according to image frames captured by the optical sensor when the laser diode is emitting light. The processor further performs the positioning and object recognition according to image frames captured by the optical sensor when the light emitting diode is emitting light.

An operating method for navigating a device in a dynamic environment is provided. The method includes building a map based on sensor data, localizing a position of the device on the map based on the sensor data, determining a first position of a moving object on the map based on the sensor data, determining a momentum of the moving object, determining a second position of the moving object on the map based on the determined momentum, and changing the position of the device based on the determined second position of the moving object and a position of at least one obstacle.

A mobile work machine includes a frame, a material loading system having a material receiving area configured to receive material and an actuator configured to control the material loading system to move the material receiving area relative to the frame, and a control system configured to receive an indication of a detected object, determine a location of the object relative to the material loading system, and generate a control signal that controls the mobile work machine based on the determined location.

An auto clean machine comprising: a height computing device; and an obstacle determining device. The height computing device is turned on to compute a height or an overhang height of an obstacle when the obstacle determining device determines the obstacle exists in a predetermined region of the auto clean machine. The height computing device does not compute the height and the overhang height when the obstacle determining device does not determine the obstacle exists in the predetermined region.

One aspect of the invention relates to a method for signaling information to the operator of the remote control for a parking assistance system which can be controlled by remote control from outside of a motor vehicle for automatically parking the motor vehicle into a parking space. The method includes detecting surroundings information with respect to the vehicle surroundings on the motor vehicle side using a surrounding sensor system of the motor vehicle. The parking assistance system in the motor vehicle detects a parking space on the basis of the surroundings information, and information on the detection of a parking space is transmitted from the motor vehicle to the remote control via a wireless communication connection. On the basis of the received information, the remote control signals the presence of the detected parking space to the operator.

An equipment inspection system receives data captured by a sensor of an autonomous vehicle (AV). The captured data describes a current state of equipment for servicing the AV. The equipment inspection system compares the captured data to a model describing an expected state of the equipment. The equipment inspection system determines, based on the comparison, that the equipment differs from the expected state. The equipment inspection system may transmit data describing the current state of the equipment to an equipment manager. The equipment manager may schedule maintenance for the equipment based on the current state of the equipment.

This automatic travel system for a work vehicle is provided with: a position information obtaining unit; and an automatic travel control unit that causes a work vehicle to automatically travel along a target path. The automatic travel control unit sets a control target position on the target path including a plurality of work paths arranged in parallel with each other and a plurality of turning paths that connect the work paths in an order of travel of the work vehicle, to enable automatic travel of the work vehicle along the target path. The automatic travel control unit, when the work vehicle is positioned on a work path in the vicinity of a boundary with a turning path, sets the control target position on an extension of the work path. The automatic travel control unit, when the work vehicle is positioned on a turning path in the vicinity of a boundary with a work path, sets the control target position on the work path.

A forklift truck includes a main controller, a driving motor, a drive controller, and an object detector. The drive controller controls the driving motor. The object detector detects the position of an object being present in the backward direction of the forklift truck. The main controller derives an expected trajectory of the forklift truck. The main controller imposes a speed limit on the forklift truck by setting a vehicle speed upper limit when the object detected by the object detector is located within the expected trajectory and the forklift truck is traveling in the direction of approaching the object. The main controller gives commands to the drive controller to prevent the vehicle speed of the forklift truck from exceeding the vehicle speed upper limit.

An autonomous vehicle may include an autonomous driving control apparatus including a processor that is configured to request remote control of the autonomous vehicle to a control system when remote control of the autonomous vehicle is required, when receiving a remote control path and a remote control command from the control system, determines whether the remote control path and the remote control command match, and performs the remote control command depending on a result thereof.

A robot repositioning method is provided. A position deviation caused by excessive accumulation of a walking error of a robot may be corrected to implement repositioning by taking a path that the robot walks along an edge of an isolated object as a reference, so that the positioning accuracy and walking efficiency of the robot during subsequent navigation and walking are improved.