A outdoor power equipment system includes a removable rechargeable battery module, a robotic lawn mower, and a portable power equipment. The robotic lawn mower includes a receptacle configured to receive the battery module, and an electric motor electrically coupled to the receptacle to receive electricity to drive at least one of a wheel and a cutting implement. The portable power equipment includes a receptacle configured to receive the battery module, and at least one of an electric motor, a light source, and an amplification circuit coupled to the receptacle to receive electricity.

Embodiments of the present disclosure relate generally to generating and utilizing three-dimensional terrain maps for vehicular control. Other embodiments may be described and/or claimed.

The present invention provides an autonomous traveling work machine that can accurately receive positioning signals from navigation satellites and autonomously travel without deviating from a traveling path, even in the case of an inclined slope. The autonomous traveling work machine includes a traveling machine body, a positioning receiver that receives positioning signals from navigation satellites, an autonomous traveling control device that performs control for autonomous traveling along traveling paths based on the positioning signals, an inclination detection unit that detects the inclination of the traveling machine body and outputs inclination angle information, an inclination angle determination unit that determines an inclination angle based on the inclination angle information, and a rotation control mechanism that rotates the positioning receiver with one or more degrees of freedom. The rotation control mechanism keeps the positioning receiver horizontal based on the inclination angle.

A modular mobility base for a modular autonomous bot apparatus transporting an item being shipped including a mobile base platform, a component alignment interface, a mobility controller, a propulsion and steering system, and sensors. The component alignment interface provides an alignment channel into which another modular component can be placed and secured on the platform. The mobility controller generates propulsion control signals for controlling speed of the modular mobility base and steering control signals for navigation of the modular mobility base. The propulsion system is connected to the platform and responsive to the propulsion control signal. The steering system is connected to the mobile base platform and is responsive to the steering control signal to cause changes to directional movement of the modular mobility base. The sensors are disposed on the platform provide feedback sensor data to the mobility controller about a condition of the modular mobility base.

A foothold position control system and method for a biped robot are provided. 1) A feasible collision-free path is planned by using a path planning algorithm; 2) an available foothold area of a swing foot is determined according to step-length constraints, movement capabilities, foot sizes, and center offsets of a biped robot; and 3) fuzzy processing is performed to determine a specific foothold position of the biped robot. Selection of suitable foothold positions on both sides of a path when a biped robot executes specific walking actions after finishing path planning is realized. The foothold position control system and method has the advantages of being simple and easy to implement, having low computational load and high speed, being capable of exerting extreme movement capabilities of different biped robots, enabling more flexible movement of the biped robots, and so on.

Disclosed are a method and apparatus for enabling a robot to follow an object by using distance measurement data and odometry data through ultra-wideband (UWB) to estimate a relative position of a target in a robot center coordinate system. The method comprises initializing a robot's own object following algorithm according to an object following request; transmitting a single-sided two-way ranging (SS-TWR) poll message; receiving a single response message in response to the SS-TWR poll message from the object, the single response message including second odometry information of a second odometry measurement device of the object; estimating a distance to the object based on a round trip delay calculated by an SS-TWR method; predicting a position of the object based on the second odometry information and first odometry information of the first odometry measurement device; and correcting the position of the object based on the estimated distance.

The present disclosure relates to a self-propelled robotic tool (1) and a method in a self-propelled robotic tool (1), being used to detecting lifting of the self-propelled robotic device from the ground. The method includes collecting (21) driving data (31) related to the driving of a wheel (5), collecting (23) measured inertia data from an inertial measurement unit (13), IMU, in the self-propelled robotic tool, determining (25), using an estimation function (33), a residual parameter corresponding to a differential between said measured inertia data and estimated inertia data resulting from said driving data being input to said estimation function, and determining a lifting condition based on the residual parameter.

A modular control system for controlling an AGV includes an interface, a processor, a memory, and a plurality of programs. The plurality of programs include a task scheduling module, a sensor fusion module, a mapping module, and a localization module. The interface receives a command signal from an AGV management system and sensor signals from a plurality of sensors. The memory stores a surrounding map and the plurality of programs to be executed by the processor. The task scheduling module converts the command signal to generate an enabling signal. The sensor fusion module processes the received sensor signals according to the enabling signal and generates an organized sensor data. The mapping module processes the organized sensor data and the surrounding map to generate an updated surrounding map. The localization module processes the organized sensor data and the updated surrounding map to generate a location and pose signal.

This provides methods and systems for the global navigation satellite system (GNSS) combined with the dead-reckoning (DR) technique, which is expected to provide a vehicle positioning solution, but it may contain an unacceptable amount of error due to multiple causes, e.g., atmospheric effects, clock timing, and multipath effect. Particularly, the multipath effect is a major issue in the urban canyons. This invention overcomes these and other issues in the DR solution by a geofencing framework based on road geometry information and multiple supplemental kinematic filters. It guarantees a road-level accuracy and enables certain V2X applications which does not require sub-meter accuracy, e.g., signal phase timing, intersection movement assist, curve speed warning, reduced speed zone warning, and red-light violation warning. Automated vehicle is another use case. This is used for autonomous cars and vehicle safety, shown with various examples/variations.

A work vehicle comprising: a drive wheel unit that is provided in a vehicle body and is configured to be driven by a travel drive mechanism; a work unit that is provided in the vehicle body and is configured to perform work on a work target; a battery provided in the vehicle body; a motor that is configured to receive electric power from the battery and drive the work unit; an inclination sensor configured to detect an inclination of the vehicle body relative to a horizontal plane; and a first captured image acquisition unit configured to acquire a captured image that shows surroundings of the vehicle body when the work is being performed.