A navigation system and method including an autonomous intelligent motorized audible navigation cart. The audible and intelligent features of the navigation system can be accomplished using a combination of artificial intelligence and speech recognition technology. The navigation system can be used to help the visually impaired person navigate a store for locating products.

Automatic private public transport system, comprising a plurality of vehicles, operating by optoguidance along a colored strip, each vehicle incorporating an inertial unit, capable of managing all the parameters associated with the movements of a vehicle, namely: a starting point, the direction, accelerations, durations, as well as all the successive variations of these different parameters, the processing of the aforementioned data enables the on-board computer to calculate and define the vehicle's route and to store it, the said route data reproducing a succession of points on the said route, i.e. a virtual computer image of the colored strip of the route travelled. In this way, the on-board computer uses the virtual computer strip to continue its journey if the colored strip is no longer visible.

A pallet position detection apparatus is provided. The detection apparatus and method checks information on a pallet disposed on a vehicle by recognizing an Radio Frequency Identification (RFID) tag or a Quick Response (QR) code attached to the truck, and recognizes an exact position of the pallet by detecting a reflector positioned on the pallet by a Lidar sensor, and unloads the pallet from the truck using an unmanned forklift vehicle based on the recognized position of the pallet.

An autonomous appliance configured to operate in a facility. The autonomous appliance includes a chassis including a motor configured to move the autonomous appliance within the facility and a radio frequency identification (RFID) tag reader configured to communicate with infrastructure RFID tags attached to fixed infrastructure and with product RFID tags attached to product containers. The RFID tag reader emits an RF signal that provides ambient RF power to the infrastructure RFID tags and the product RFID tags. The autonomous appliance includes at least one actuator configured to manipulate the product containers and a controller coupled to the RFID tag reader and configured to read information from the infrastructure RFID tags and the product RFID tags. The controller adapts the behavior of the autonomous appliance relative to a first product container based on the read information.

The invention suggests an impact prevention and protection system in a specific area. It includes a TAG device and/or a first sensor associated with an operator and/or with a vehicle and a second sensor connected to an anti-impact barrier in the area. The TAG devices and sensors employed use the same radio frequencies for transmitting and receiving data. The TAGs have a radio transceiver, an antenna and a controller for managing the transmission. The sensors have three radio transceivers, each with an omnidirectional antenna, and a control unit for calculating the distance and the approach angle of the other sensors and TAGs in the vicinity. This information determines the probability of impact between a moving vehicle and the barrier, and can be used to activate any safety procedures or alarms.

A precision landing system is described for an unmanned aerial vehicle (UAV). The system may include one or more anchors configured for placement in proximity to a landing zone, a tag configured for securement to the UAV where the tag wirelessly communicates with at least three or more of the anchors. A controller may be configured to fly the UAV towards a centerline axis defined through a first airspace zone at a first altitude above the landing zone while descending towards the first altitude and then fly the UAV towards the centerline axis defined through a second airspace zone at a second altitude which is below the first altitude while descending towards the second altitude, and finally to fly the UAV towards the centerline axis defined through a third airspace zone at a third altitude which is below the second altitude while descending towards the landing zone.

The present disclosure provides a method for detecting a physical forbidden zone and global relocating of a service robot, the method comprising: presetting an identification on an edge of the physical forbidden zone that the service robot cannot enter in a working scenario; constantly detecting whether there is an artificial identification in the working scenario during operations of the service robot; identifying the artificial identification and confirming a position and heading angle information of the service robot relative to the artificial identification when there is artificial identification information in the working scenario; controlling a motion trajectory of the service robot according to the position and heading angle information of the service robot relative to the artificial identification to forbid the service robot from entering a respective physical forbidden zone.

The present disclosure provides an intelligent control method performed by a self-moving device. The intelligent control method includes: after the self-moving device exits a station site, moving the self-moving device toward a first identification target; and after the self-moving device reaches the first identification target, moving the self-moving device along the first identification target to acquire a second identification target, where the second identification target is configured to determine a path position at which the self-moving device is located, and the second identification target is different from the first identification target.

A system for the remote care of an item of vegetation used as a potential source of food for an animal, to include at least one of a proximity tag, RFID tag, transponder device, a predetermined machine-readable pattern, and geo-location device associated with the item of vegetation, and an aerial drone. The aerial drone includes a microprocessor, a sensor coupled to the microprocessor and configured to detect the at least one of the proximity tag, RFID tag, transponder device, predetermined machine-readable pattern, and the geo-location device, and a carrier configured to carry a substance comprising at least one of a solid, gas, and liquid. The aerial drone is configured to act in response to instructions issued by the microprocessor.

An automated overhead follower (AOF) system for a picking process includes an overhead rail, a motorized trolley configured to engage the rail and translate along its longitudinal axis in response to position control signals, a light projector connected to the trolley that emits a light beam in response to lighting control signals, and a radio frequency (RF) transmitter connectable to a tray. An electronic control unit (ECU) receives three-dimensional (3D) position signals from the transmitter as the tray moves along a bin aisle, identifies a bin zone in the aisle using the 3D position signals, and transmits the position control signals to a motor to command the trolley to move to the identified bin zone. The ECU also transmits the lighting control signals to the projector to illuminate one of more bins in the identified bin zone.