Embodiments herein are directed to a wheelchair system that includes a wheelchair. The wheelchair includes a coupling mechanism, 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 location of an accessory, position the wheelchair with respect to the accessory, and couple the wheelchair to the accessory via the coupling mechanism. The positioning of the wheelchair is independent from a user physically controlling the positioning of the wheelchair with respect to the accessory.

A system and method for a motorized mobile chair using a plurality of sensors having a plurality of sensor types to detect a plurality of objects and generate sensor data about the detected objects, each of the detected objects being a person, the sensor data about the objects comprising a plurality of range measurements to the people and a plurality of bearing measurements to the people. The system has at least one processor to receive the sensor data about the people, group the detected people into a plurality of zones, determine a closest person in each zone, and generate one or more control signals to cause the motorized mobile chair to match a speed and a direction of the closest person in the zone corresponding to a direction of travel of the motorized mobile chair while at least approximately maintaining a selected space to the closest person in the zone corresponding to the direction of travel of the motorized mobile chair.

System and method for capturing a movement sequence of a person. The method comprises capturing a plurality of images of the person executing a movement sequence by means of a contactless sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated. In addition, vital signs and/or signal processing parameters of the person can be acquired and evaluated.

Implementations of the disclosed subject matter provide a method of moving a mobile robot within an area. The movement of the mobile robot and the emission of ultraviolet (UV) light may be stopped when a human and/or animal is determined to be within the area. Using at least one sensor, the method may be determine whether there is at least one of human identification, animal identification, motion, heat, and/or sound within the area for a predetermined period of time. When there is no human identification, animal identification, motion, heat, and/or sound within the predetermined period of time, UV light may be emitted and the drive system may be controlled to move the mobile robot within the area. When there is at least one of human identification, motion, heat, and/or sound within the predetermined period of time, a light source may be controlled to prohibit the emission of UV light.

A closestool type urine and excrement detection robot and an Internet-of Things system thereof. The closestool type urine and excrement detection robot comprises: an intelligent moving module (15), an interaction system module (32), a height adjustment module (19), a user identity identification module (28), a closestool structure module (13), a urine gross recognition detection module (11), an odor detection module (25, 33), a urine component detection module (51), an excrement gross recognition detection module (14), an excrement component detection module (108), a cleaning flushing module, a waste treatment module (21), a wireless communication module (30), a central data processing module (24), a data security module, a battery and charging module (20), and a device maintenance module. The urine and excrement detection robot can automatically reach a preset position, provide urination and defecation behavioral monitoring and urine and excrement component detection for a user, and screen urinary and digestive system diseases as soon as possible; device maintenance, data processing, and medical support are provided by means of an Internet of Things system, and the Internet of Things system can also be used in cooperation with a squatting pan or a pedestal pan of the user; a closestool structure is customized according to the individuation of the user, and therefore, efficient, convenient and intelligent urine and excrement detection experience is provided for the user.

Disclosed are a system and a method that includes a robotic unit configured to deliver items (e.g., medicine, foodstuff, linens, equipment, etc.) to sites (e.g., rooms, offices, etc.) and/or individuals (e.g., patients, pharmacists, technician, etc.) throughout a facility (e.g., hospital, office building, mailroom, manufacturing facility, etc.). The robotic unit is a mobile unit that operates autonomously to follow predetermined or programmed routes throughout the facility to deliver the items. The system is configured to maintain a chain of custody for the items. In addition, the robotic unit is configured to only allow designated items to be delivered to designated sites and/or to authorized individuals. This can be achieved by the robotic unit having a plurality of containers that are locked within a storage space of the robotic unit, and are only accessible upon successful completion of an authorization process.

A vehicle allocation service system includes an acquisition unit configured to acquire biological information and positional information of a user, a selection unit configured to select a moving object to be provided to the user based on the biological information, a decision unit configured to acquire priority added to a satisfied condition of the biological information of the user and decide an order of vehicle allocation for the selected moving object according to the priority, and an instruction unit configured to instruct the selected moving object to move according to the positional information.

A position and tracking system for radio-based localization in an operating room, includes a receiver, a mobile cart, a processor, and a memory coupled to the processor. The mobile cart includes a robotic arm and a transmitter in operable communication with the receiver. The memory has instructions stored thereon which, when executed by the processor, cause the system to receive, from the transmitter, a signal including a position of the mobile carts in a 3D space based on the signal communicated by the transmitter and determine a spatial pose of the mobile carts based on the received signal.

A telepresence robot may include a drive system, a control system, an imaging system, and a mapping module. The mapping module may access a map of an area and tags associated with the area. In various embodiments, each tag may include tag coordinates and tag information, which may include a tag annotation. A tag identification system may identify tags within a predetermined range of the current position and the control system may execute an action based on an identified tag whose tag information comprises a telepresence robot action modifier. The telepresence robot may rotate an upper portion independent from a lower portion. A remote terminal may allow an operator to control the telepresence robot using any combination of control methods, including by selecting a destination in a live video feed, by selecting a destination on a map, or by using a joystick or other peripheral device.

A method includes receiving sensor data relating to an environment from a plurality of mobility deices, determining locations of one or more points of accessibility within the environment based on the sensor data, creating an environment map based on the sensor data, and transmitting the environment map to a mobility device. The environment map includes the one or more points of accessibility.