A guide system is provided that uses a plurality of sensors to identify and determine a clear path for an ambulatory vision impaired person. The system includes one or more wheels that rotate to propel the system, a platform supported by the one or more wheels and housing a processor, a rigid harness with a haptic feedback grip that is positioned to be grasped by an operator, and one or more sensors configured to sense information about the environment. In operation, the processor analyzes information sensed by the sensors to identify object in the path of the guide system and sends messages to the operator to allow the operator to avoid the identified objects. The messages may be sent to the operator via the haptic feedback grip or audibly via a speaker or via a wireless connection to a haptic or audio device being worn by the operator.

Disclosed is a cleaning robot including: a driving unit configured to move the cleaning robot; an obstacle sensor configured to sense an obstacle; and a controller configured to reduce, if a distance between the cleaning robot and the obstacle is shorter than or equal to a reference distance, a driving speed of the cleaning robot so that the driving speed of the cleaning robot is lower than a shock absorbing speed when the cleaning robot contacts the obstacle.

A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot. When the mobile unit (101) moves to the parking position, and the loading platform (103) is aligned with the photovoltaic module, the cleaning robot can move from the loading platform (103) to the photovoltaic module.

A transport apparatus and method for a cleaning robot of a photovoltaic module. The photovoltaic module comprises a plurality of solar panels and a support part (102a). The transport apparatus comprises: a mobile unit (101), an adjustment unit (102), and a loading platform (103). The mobile unit (101) is configured to move according to a first moving trajectory, and carry and automatically transport the adjustment unit (102), the loading platform (103), and a cleaning robot to a parking position corresponding to the photovoltaic module. The adjustment unit (102) is mounted above the mobile unit (101), and is configured to adjust the height and inclination angle of the loading platform (103) at the parking position to align the loading platform (103) with the photovoltaic module. The loading platform (103) is arranged above the adjustment unit (102), and is configured to carry the cleaning robot. When the mobile unit (101) moves to the parking position, and the loading platform (103) is aligned with the photovoltaic module, the cleaning robot can move from the loading platform (103) to the photovoltaic module.

A remote control device is a remote control device configured to control one or more mobile objects via a network, which includes a receiver configured to receive mobile object information including a first state quantity of a state quantity of the mobile object and surrounding information around the mobile object, a trajectory generation unit configured to generate a target trajectory of the mobile object on the basis of the surrounding information, a mobile object estimation unit configured to estimate transmission latency of the network, a gain setting unit configured to set a control gain on the basis of the transmission latency, a control amount calculation unit configured to calculate a control amount for causing the mobile object to follow the target trajectory on the basis of the mobile object information and the control gain, and a transmitter configured to transmit the control amount to the mobile object.

A remote control device is a remote control device configured to control one or more mobile objects via a network, which includes a receiver configured to receive mobile object information including a first state quantity of a state quantity of the mobile object and surrounding information around the mobile object, a trajectory generation unit configured to generate a target trajectory of the mobile object on the basis of the surrounding information, a mobile object estimation unit configured to estimate transmission latency of the network, a gain setting unit configured to set a control gain on the basis of the transmission latency, a control amount calculation unit configured to calculate a control amount for causing the mobile object to follow the target trajectory on the basis of the mobile object information and the control gain, and a transmitter configured to transmit the control amount to the mobile object.

An acquisition processing part acquires a captured image from a camera which is installed on a work vehicle. A detection processing part detects an obstacle on the basis of the captured image which is acquired by the acquisition processing part. When an obstacle is detected by the detection processing part, a reception processing part receives a traveling stop instruction for stopping automatic traveling of the work vehicle or a traveling continuation instruction for continuing automatic traveling of the work vehicle. A traveling processing part stops the automatic traveling of the work vehicle when the reception processing part receives the traveling stop instruction, and continues the automatic traveling of the work vehicle when the reception processing part receives the traveling continuation instruction.

An information generation method is performed by an information generation device which generates information for a learning model that infers whether a mobile object is movable in a predetermined region. The information generation method includes: obtaining at least (i) first information and (ii) second information when the mobile object moves in a first region, the first information being obtained from a sensor provided in the mobile object, the second information relating to movement of the mobile object; inferring whether the mobile object is movable in the first region according to the second information; and generating fourth information for a learning model, the fourth information associating the first information, the second information, and third information with one another, the third information indicating an inference result which is obtained in the inferring.

An information generation method is performed by an information generation device which generates information for a learning model that infers whether a mobile object is movable in a predetermined region. The information generation method includes: obtaining at least (i) first information and (ii) second information when the mobile object moves in a first region, the first information being obtained from a sensor provided in the mobile object, the second information relating to movement of the mobile object; inferring whether the mobile object is movable in the first region according to the second information; and generating fourth information for a learning model, the fourth information associating the first information, the second information, and third information with one another, the third information indicating an inference result which is obtained in the inferring.

Methods and apparatus for implementing a safety system for a mobile robot are described. The method comprises receiving first sensor data from one or more sensors, the first sensor data being captured at a first time, identifying, based on the first sensor data, a first unobserved portion of a safety field in an environment of a mobile robot, assigning, to each of a plurality of contiguous regions within the first unobserved portion of the safety field, an occupancy state, updating, at a second time after the first time, the occupancy state of one or more of the plurality of contiguous regions, and determining one or more operating parameters for the mobile robot, the one or more operating parameters based, at least in part, on the occupancy state of at least some regions of the plurality of contiguous regions at the second time.