The systems and methods provided herein are directed to navigating an automated mobility device for docking and undocking with a vehicle. The position and orientation of the mobility device relative to the vehicle are determined based on real-time images of the vehicle. Based on the position and orientation of the mobility device, the system determines a control command for automatically navigating the mobility device from its determined position to a docking position within the vehicle. The system subsequently determines a control command for automatically navigating the mobility device from the docking position within the vehicle to a position outside the vehicle.

A movable object includes a sensing device for detecting traveling-route reflector on a travel surface so that a region outside a floor projection region of the movable object, in particular the traveling-route reflector forward, can be detected. Detecting the traveling-route reflector across a wide range of areas allows traveling control, such as gradual deceleration before entering a curve, speed regulation based on a turning radius at the curve so that centrifugal force on a rider or load is not too great. Also the movable object can detect a branch point or an intersection beforehand, decelerate, and notify the user for user's instruction regarding the traveling direction. Furthermore, for a movable object autonomously traveling with an item mounted thereon, a single sensing device detects the traveling-route reflector and also serves as a safety sensor for avoiding collision with any other objects therearound.

An autonomously moveable storage unit includes one or more processors, a storage container configured to contain a stored item, a moveable base coupled to the storage container and communicatively coupled to the one or more processors, and one or more memory modules communicatively coupled to the one or more processors. The one or more memory modules store logic that, when executed by the one or more processors, cause the autonomously moveable storage unit to actuate the moveable base to automatically move the autonomously moveable storage unit from a docked position coupled to the wheelchair to an undocked position uncoupled from the wheelchair, and actuate the moveable base to automatically move the autonomously moveable storage unit from the undocked position to the docked position.

An apparatus includes a drive mechanism, a patient support mechanism, and an electronic system. The drive mechanism is included in a trolley and is configured to suspend the trolley from a support track. The drive mechanism includes a first sensor configured to sense an operating condition of the drive mechanism. The patient support mechanism couples to the trolley and includes a tether and a second sensor. The tether can be operatively coupled to a patient such that the patient support mechanism supports the patient. The second sensor is configured to sense an operating condition of the patient support mechanism. The electronic system is included in the trolley and has at least a processor and a memory. The processor is configured to define a gait characteristic of the patient based at least in part on a signal received from the first sensor and a signal received from the second sensor.

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.

Provided is an autonomous wheeled device. A first sensor obtains first data indicative of distances to objects within an environment of the autonomous wheeled device and a second sensor obtains second data indicative of movement of the autonomous wheeled device. A processor generates at least a portion of a map of the environment using at least one of the first data and the second data and a first path of the autonomous wheeled device. The processor transmits first information to an application of a communication device paired with the autonomous wheeled device and receives second information from the application.

Systems and methods of wheelchair systems having a companion control mode are disclosed. The wheelchair system includes a companion and a wheelchair. The wheelchair includes one or more wheels, at least one actuator coupled to the one or more wheels, a processing device, and a non-transitory, processor-readable storage medium in communication with the processing device. The non-transitory, processor-readable storage medium includes one or more programming instructions that, when executed, cause the processing device to determine the companion, generate a companion profile based on the determined companion, determine a movement of the companion, and actuate the at least one actuator to drive the one or more wheels to follow the movement of the companion. The actuation of the at least one actuator to drive the one or more wheels to follow the movement of the companion is an autonomous control.

Patient support apparatuses, such as beds, cots, stretchers, recliners, or the like, include control systems with one or more image, radar, and/or laser sensors to detect objects and determine if a likelihood of collision exists. If so, the control system controls the speed and steering of the patient support apparatus in order to reduce the likelihood of collision. The control system may be adapted to autonomously drive the patient support apparatus, to transmit a message to a remote device indicating whether it is occupied by a patient or not, and/or to transmit its route to the remote device. The remote device may determine an estimate of a time of arrival of the patient support apparatus at a particular destination and/or determine a distance of the patient support apparatus from the particular destination.

The present disclosure discloses an intelligent wheelchair system and method based on big data and artificial intelligence. The intelligent wheelchair system may include a processor (210), a movement module (920), and a holder (930). The processor (210) may be configured to implement operations such as receiving information, constructing a map, planning a route, and generating control parameters. The movement module (920) may execute the control parameters to move around and include sensors (1220) to sense information. The holder may include sensors (1240) to sense information.

A physical assistive robotic device may include a frame including an upright support member, a lateral member slidably engaged with the upright support member, a handle slidably engaged with the lateral member, an elevation actuator coupled to the upright support member and the lateral member, and a lateral actuator coupled to the lateral member and the handle. The elevation actuator translates the lateral member and the lateral actuator translates the handle to transition a user between a standing position and a non-standing position.