An upgrade system upgrades a motorized mobile chair to a smart motorized mobile chair. The motorized mobile chair has a processing system comprising at least two processors. The upgrade system comprises a plurality of object detection sensors and at least one processing unit connected between at least a first one of the at least two processors of the processing system and at least a second one of the at least two processors of the processing system. The processing unit receives sensor data from at least one of the plurality of object detection sensors, receives at least one control signal transmitted from the first processor, the control signal comprising data, modifies or does not modify the data of the control signal based on at least the sensor data, and transmits the modified or not modified control signal, the transmitted control signal to be received by the second processor.

There is disclosed a mobility aid device including a seat arrangement upon which a user sits when the mobility device aid is in operation, a main unit that supports the seat arrangement, and a wheel arrangement that supports the main unit on a floor surface. The mobility aid device is driven in operation from a motor arrangement included in at least one of the main unit and the wheel arrangement, wherein the mobility device aid is propelled forwards or backwards and turned by the motor arrangement. The wheel arrangement includes two wheels mounted at lateral sides of main unit, wherein the two wheels are mutually independently driven in operation by the motor arrangement. The mobility aid device is self-balancing using the two wheels by employing a control module that controls an electrical signal applied to the motor arrangement, and the wheels are contained within an area that is less than 120% of a seating area of the seat arrangement.

A lift device and method of operation thereof including two vertical extendible tower members supporting a horizontal extendible transverse member, a payload lifting device and a traveler carriage configured to translate the payload between the two vertical extendible tower members along the horizontal extendible transverse member, an omnidirectional wheel assembly, a navigation control system configured to provide navigation control to the lift device via the omnidirectional wheel assembly based on a navigation path, one of a proximity sensing system and a machine vision system configured to determine one of a presence of an obstacle or an absence of a previously detected obstacle relative to the navigation path, and a motion control system configured to provide a smooth motion control signal and a retract or expand signal to the respective members of the lift device.

Provided is a robot including a main body having a traveling wheel and a traveling motor for rotating the traveling wheel, a seating body disposed above the main body, a left projector disposed at a left side of the main body to scan a beam toward a left lower direction, a right projector disposed at a right side of the main body to scan a beam toward a right lower direction, and a processor for controlling the traveling motor, the left projector, and the right projector.

The present disclosure discloses the surrounding information collection, feedback system and method of the intelligent wheelchair. The system includes a processor, a movement module, and a holder, and the processor is configured to perform operations of receiving information, constructing a map, planning a route, and generating control parameters. The movement module executes the control parameters to move around and includes one or more sensors to detect the information. The holder includes one or more sensors to sense the information.

According to embodiments, a method for operating a lifting device monitoring with a control unit, monitoring current supplied to the lift actuator when the lift actuator is actuated; discontinuing the current supplied to the lift actuator when the current exceeds a current threshold value; determining an accumulated number of overload stops based on the current supplied to the lift actuator; determining at least one operating characteristic of the lifting device and an operating time of the lifting device as the lifting device is actuated; determining an accumulated load-time parameter for the lifting device based on the at least one operating characteristic and the operating time; and uploading, with a transceiver, at least one of the accumulated number of overload stops and the accumulated load-time parameter to at least one of the computer, the network, and the data storage device.

A collision prevention system for a surgical suite includes a supply unit adjustable along a movement path from an initial position to a subsequent position within the surgical suite. A sensor is operably coupled to the supply unit. The sensor is configured to sense an object proximate to the supply unit. A controller is communicatively coupled with the sensor. The controller monitors the object sensed by the sensor. An alert device is communicatively coupled with the controller. The alert device provides a notification when the object is sensed within the movement path and provides a prevention indicator corresponding to an alternate path.

A processing system is for a motorized mobile system that provides powered mobility to one or more users. The motorized mobile system may consist, for example, of one or more of a mobile chair, a mobility scooter, an electronic conveyance vehicle, a riding lawn mower, a grocery cart, an all-terrain vehicle, an off-road vehicle, and a golf cart. The processing system comprises at least one sensor to measure one or more kinematic states of an object proximate to the motorized mobile system and at least one processor to use at least one object kinematic model as at least one state estimator. The at least one processor predicts a first kinematic state estimate of the object at a first time based on a prior knowledge of state for the object. The at least one processor uses the first kinematic state estimate of the object at the first time and a measured kinematic state observed by the sensor at a second time to determine a second kinematic state estimate of the object at the second time, wherein the first time is less than the second time. The at least one processor outputs the first kinematic state estimate at the first time from the object kinematic model for use by at least one other process of the motorized mobile system, wherein the at least one other process causes one or more actions to be taken by the motorized mobile system based on the first kinematic state estimate of the object at the first time. The at least one processor uses the second kinematic state estimate at the second time as an input to the object kinematic model to predict another kinematic state estimate of the object.

According to embodiments, a method for operating a lifting device monitoring with a control unit, monitoring current supplied to the lift actuator when the lift actuator is actuated; discontinuing the current supplied to the lift actuator when the current exceeds a current threshold value; determining an accumulated number of overload stops based on the current supplied to the lift actuator; determining at least one operating characteristic of the lifting device and an operating time of the lifting device as the lifting device is actuated; determining an accumulated load-time parameter for the lifting device based on the at least one operating characteristic and the operating time; and uploading, with a transceiver, at least one of the accumulated number of overload stops and the accumulated load-time parameter to at least one of the computer, the network, and the data storage device.

The present disclosure describes a system, device, and method for assisting a user to avoid contacting surfaces with their mobile device. An environment is sensed with one or more electronic sensors. The sensor readings are analyzed. Information is then provided to a user based on the analyzed sensor readings. The sensors may be configured so their sensor cones cross at a midpoint. Readings from the sensor(s) may be grouped according detection zone(s) corresponding to one or more areas about a mobile device. A computing module may control a feedback module according to detection zone readings. The feedback module may comprise an indicator for each detection zone. The indicator may be a vibration motor. The indicator may be a light. The computing module may set the colour of a light and/or control the vibrations based on the proximity of surfaces detected within the corresponding detection zone.