A device converting instructions and commands from an autonomous mobile robot into protocols compatible with different external tools comprises a robot body and a conversion device. The conversion device comprises a signal receiver, a signal converter, and a signal output device. The signal receiver receives a first operation signal outputted by the robot body, the signal converter converts the first operation signal to a second operation signal recognizable by the external tool, and the signal output device outputs the second operation signal to the external tool to achieve the desired operation by the external tool. The conversion device and a communication method of translating between robots and tools are also disclosed.

A mobile assembly apparatus and a method of assembling a retail product utilizing a retail assembly are discussed. The mobile assembly apparatus may include a cabinet structure, an expandable work surface, a frame, wheels, an articulated arm, outrigger supports, a power supply, sensors, a hardware dispenser, and a computing device. The mobile assembly apparatus scans a machine readable identifier and retrieves assembly instructions for an item associated with the identifier. The computing device controls the outrigger supports and extendable surface based on the instructions. The computing device monitors the progress of the assembly of the time and validates the assembly based on assembly data from the sensors.

A surface evaluation system that includes one or more vision systems that generate target surface data during evaluation of a surface, the one or more vision systems comprising two or more of: at least one light, a camera, a structured light camera, a laser scanner and a 3D scanner.

The disclosure discloses a method for building a local point cloud map and a visual robot. According to the method for building the local point cloud map, point clouds which reflect a position of a large-range region around a robot are sampled according to a preset salient pose change condition; point clouds at different height positions are described in the form of a 3d histogram.

An output control apparatus is communicable with a communication apparatus through a communication network. The communication apparatus includes a first image capturing device configured to capture a subject at a remote site to acquire a first image and a second image capturing device configure to capture a part of the subject to acquire a second image. The output control apparatus includes circuitry to: receive the first image transmitted from the communication apparatus; output the received first image so as to be displayed on a display; receive, from the communication apparatus, the second image acquired by capturing a part of the subject corresponding to a display position of the first image displayed on the display; output the received second image so as to be displayed on the display; and control the display to display the first image and the second image that are output.

A robot system includes: an upper body section including one or more end-effectors; a lower body section including one or more legs; and an intermediate body section coupling the upper and lower body sections. An upper body control system operates at least one of the end-effectors. The intermediate body section experiences a first intermediate body linear force and/or moment based on an end-effector force acting on the at least one end-effector. A lower body control system operates the one or more legs. The one or more legs experience respective surface reaction forces. The intermediate body section experiences a second intermediate body linear force and/or moment based on the surface reaction forces. The lower body control system operates the one or more legs so that the second intermediate body linear force balances the first intermediate linear force and the second intermediate body moment balances the first intermediate body moment.

Provided are robotic systems and methods for identifying a particular type of tree or plant (e.g., slash pine trees), for tapping them and collect their oleoresin for processing using an autonomous, long-range robotic forest rover. One aspect of the system comprises an autonomous vehicle equipped with an industrial robot, automated tool changer, a plurality of tools required for robotic operations, vision and navigation systems and powertrain for long-range operation. The rover identifies healthy, mature trees or plants, approaches them and performs the robotic operations required for tapping the trees or plants. In addition to these tasks, the Global Navigation Satellite System (GNSS) coordinates of the tree or plant is recorded along with its diameter, and a digital image of the tree or plant. This information is communicated to a base station for creating and updating a tree farm database.

The mobile manipulation device includes a base, a lift, an arm, and a manipulator. The base is able to move across a surface underneath the base. The lift is coupled to the base. The lift moves the arm vertically. The arm moves the manipulator horizontally along one direction. The base is able to move perpendicular to the one direction.

The present disclosure provides a method and system by which a precise amount of a viscous fluid sealing compound can be dispensed at required locations through computer vision-based observation of the fluid deposited, its rate and amount of deposition and location; and that the dispensed fluid may be accurately shaped through robotic or other special purpose mechanism motion. The invention enables instant quality inspection of the dispensing process in terms of the locations, amounts and shapes of newly created seals.

A mobile epidemic prevention and disinfection robot includes a body and a control system installed on the body. The body includes a mobile base, a dust collection module, a disinfection system, a temperature detection system, and a delivery system. The delivery system includes two robot arms and a storage box. The control system includes a control module, a path planning module, and an obstacle dodge module. The control module is used to control the movement of the mobile epidemic prevention and disinfection robot, and the two robot arms to perform corresponding actions. The path planning module plans the optimal movement information of the mobile epidemic prevention and disinfection robot from the current position to a destination according to a three-dimensional map. The obstacle dodge module controls the mobile epidemic prevention and disinfection robot to dodge obstacles.