A vehicle may include a frame, a drive system coupled to the frame to propel and steer the vehicle, an energy storage device configured to provide power to the drive system, and a lift implement coupled to the frame, the lift implement comprising a cradle and a lift assembly configured to adjust a position of the cradle relative to the frame. The vehicle may further include at least one of an audio output device or a visual output device and a controller configured to: determine a condition of the vehicle and provide an alert based on the determined condition, wherein the determined condition is at least one of a plurality of conditions, and wherein each condition of the plurality of conditions is associated with a unique alert, the unique alert comprising at least one unique aspect specific to the condition relative to the other conditions of the plurality of conditions.

A vehicle system includes a vehicle, one or more input devices, and one or more memory devices storing instructions thereon. When executed by one or more processors, the instructions cause the one or more processors to retrieve, from the one or more memory devices, a floorplan of a production system, receive a current position of the vehicle, and receive, from the one or more input devices, one or more inputs. The one or more inputs include one or more of one or more locations in the production system, a footprint of the vehicle, or one or more obstacles. The instructions also cause the one or more processors to generate a route for the vehicle from the current position of the vehicle to the one or more locations based on the one or more inputs.

An autonomous vehicle system includes a vehicle and a sensor movably coupled with the vehicle. An actuator is configured to move the sensor to reposition the sensor on the vehicle. A controller is configured to detect an obstruction of the sensor and operate the actuator to reposition the sensor.

A vehicle includes a frame, a drive system coupled to the frame to propel and steer the vehicle, an energy storage device coupled to the frame and configured to provide power to the drive system, a lift implement coupled to the frame, the lift implement comprising a cradle to support a load and a lift assembly configured to adjust a position of the cradle relative to the frame, one or more sensors configured to provide sensing data indicative of an environment surrounding the vehicle, and a controller comprising one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to: operate the vehicle along a first path, determine the first path extends into a first predefined zone, generate a second path that avoids the first predefined zone; and operate the vehicle along the second path.

An autonomous vehicle system includes a vehicle including a base assembly having a front surface, a rear surface opposite the front surface, and side surfaces extending between the front surface and the rear surface. A sensor system is coupled to the base assembly and configured to detect one or more objects located in an area near the vehicle. The sensor system includes a first sensor oriented parallel with at least one of the front surface, the rear surface, or the side surfaces, and a second sensor oriented non-parallel with the front surface, the rear surface, and the side surfaces. A control system is configured to receive a communication regarding the detection of the one or more objects from the sensor system and generate one or more controls for at least one of the base assembly or one or more tractive elements.

A manufacturing system includes a vehicle configured to facilitate movement of a product throughout a manufacturing environment. The vehicle assembly includes a chassis, an interface coupled to the chassis and configured to support the product, and a sensor coupled to the interface. The sensor is operatively coupled to a controller, which is configured to receive sensor data, receive current stage of assembly of a product, determine an expected force based on the current stage of assembly, and compare the measured force and expected force. In response to a determination that the measured force differs from the expected force, the controller provides a notification to the user of the current status of the product.

A carpet recognition method for a robot cleaner and a robot cleaner are provided. The carpet recognition method is applied to a cleaning robot, the cleaning robot includes a sleeve and an ultrasonic sensor, and the recognition method includes: controlling the ultrasonic sensor to transmit an ultrasonic signal to a current ground and to receive an echo signal reflected by the current ground; recognizing the current ground as a carpet surface based on that an intensity of the echo signal is less than an intensity of a standard echo signal, wherein the echo signal is capable of exhibiting diffuse reflection within the sleeve.

A robotic dog empowered by generative artificial intelligence (Gen-AI) is disclosed, capable of autonomously performing essential tasks such as guiding visually impaired individuals, detecting drugs and arms, and providing companionship. The robotic dog's lifelike design includes a head, eyes, ears, a nose, a mouth with teeth, a neck, a body, four legs with paws, and a tail, all meticulously crafted to mimic the appearance and behavior of a real dog. A trained AI model functions as the brain, processing environmental data captured by video cameras, audio microphones, and sensors to provide guidance commands to a control system that control the movements of the robotic dog. A well-trained live dog can serve as a teacher for one or multiple robotic dogs using a generative AI-based real-time training method, enabling efficient and effective training of robotic dogs.

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.

Utility vehicles with battery management and autonomous control systems are disclosed. A utility vehicle includes driven wheels, electric motor(s), blade motor(s), at least one battery, battery management system(s), global navigation satellite system receiver(s), and controller(s) communicatively connected to memory. The controller(s) identify whether map data for a mow area is stored in the memory and perform a sparse-mow routine in response to identifying no map data in the memory. To perform the sparse-mow routine, the controller(s) autonomously steer the electric utility vehicle to travel over a sample of each portion of the mow area, collect location data, and collect current discharge data. The controller(s) generate an energy-consumption map for the mow area by correlating the current discharge data with the location data and determine an efficient-mow path for subsequent mowing events of the mow area based on the energy-consumption map.