A remote control vehicle includes a vehicle body and an acoustic vibration detection device. The vehicle body includes a protection cover. The acoustic vibration detection device is located at a side of the protection cover away from an external surface of the protection cover and configured to detect acoustic vibration generated when the protection cover is hit by an external object. The acoustic vibration detection device includes a housing body, a damping assembly, and an acoustic sensor. The housing body includes a chamber. The acoustic sensor includes a microphone arranged in the chamber through the damping assembly.

Methods, systems, and apparatus for receiving a command for controlling a robot, the command referencing an object, receiving sensor data for a portion of an environment of the robot, identifying, from the sensor data, a gesture of a human that indicates a spatial region located outside of the portion of the environment described by the sensor data, searching map data for the object, determining, based at least on searching the map data for the object referenced in the command, that the object referenced in the command is present in the spatial region, and in response to determining that the object referenced in the command is present in the spatial region, controlling the robot to perform an action with respect to the object referenced in the command.

Real-time images of individuals and items on shelves of a store are analyzed for behaviors of the individuals and stocking levels of the items on the shelves. An autonomous Collaborative Robot (COBOT) is dispatched to aid the individuals based on the behaviors. The COBOT also restocks the shelves with the items when the stocking levels fall below predefined thresholds. The COBOT may be dispatched remotely or activated autonomously based on the behaviors or the stocking levels. In an embodiment, the COBOT aids individuals by retrieving items from shelves that are unable to be reached by the individuals.

A moving robot includes a main body which forms a space therein, a noise generating member which is disposed inside the main body and generates a noise, an inner housing and an outer housing which surround the main body, and two or voice recognition members which are disposed in the housing and are disposed to be separated from each other, and a noise recognition member which recognizes a noise. The voice recognition members are disposed on a side opposite to the noise generating member based on a central point and disposed to be separated from each other along an outer peripheral surface of the housing. Accordingly, a voice command is determined by a difference of the voice data acquired by the two voice recognition members separated from each other and noise data recognized by the noise recognition member to improve voice recognition efficiency.

An articulating robotic manipulator for underwater wood harvesting having a mechanical articulating arm that folds onto of itself and sits on a floating barge used for cutting under water trees that have been flooded. The ARM is controlled by an operator who is placed in a cabin on the barge above. The barge is a horseshoe cape and the folding arm deploys down the center of the barge and into the water. The barge contains side thrusters and trees can be seen under water using side scan sonar units. The arm consists of five booms and three cylinders. The ARM is 120-feet with a single ballast/tank. It can drop down and swivel 180-degrees. The ARM includes an air delivery system enclosed in the arm from the barge to the cutting head. The cutting head uses a custom cutting head that can open to 10-feet wide. The barge comprises eight ballasts.

An automatic ultrasonic scanning system includes a robotic arm with a camera, an ultrasonic probe mounted at an end of the robotic arm, a six-dimension force sensor, and a host computer. The six-dimension force sensor is fixed at the end of the robotic arm, and the ultrasonic probe is fixed on the six-dimension force sensor via a clamp. The six-dimension force sensor can detect a reactive force generated when the ultrasonic probe is in contact with a body surface of a person. The host computer is connected with each of the six-dimension force sensor, the camera and an image collection card via a data line. A controller of the robotic arm is connected to the host computer via an Ethernet communication bus. The ultrasonic machine is connected to the image collection card via a data line.

A robot and operation method is disclosed. The robot according to the present disclosure may include a sensor, a microphone, and a controller. The robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and may communicate with other electronic devices in a 5G communication environment. An embodiment may include detecting a movement of the robot to a location; detecting an obstacle within a predetermined range from the robot; estimating an occupation area of the obstacle in space; and identifying a sound signal received from the estimated occupation area of the obstacle from among a plurality of sound signals received by a plurality of microphones of the robot at the location.

For a simple monitoring of a robotic system that is configured for robot-assisted actuation of a movement of a medical object in a hollow organ of a patient, the robotic system includes at least one drive system, a robot control unit, and an acoustic sensor. A method is provided and includes receiving, by the acoustic sensor, acoustic signals of the robotic system during the operation of the robotic system for moving the medical object. At least one signal pattern is recognized in the received acoustic signals. The at least one recognized signal pattern is evaluated with respect to an associated action flow of at least one component of the robotic system. The method includes checking whether the action flow is an intended action flow, and actuating an action if the action flow is unintended.

Method for cleaning a vulcanization mould for tyres in a curing press, using a device (1) comprising a collaborative mobile robot (10), incorporating a computer program, said robot comprising an autonomous mobile platform (2) mounted on drive wheels and comprising batteries supplying electricity, a dry ice dispenser (6), sensors for identifying the location of the mould to be cleaned and motors ensuring its displacement between a storage location of the device and the mould to be cleaned and the displacement of an articulated mobile arm (3) of said robot, said robot bearing a nozzle (4) for spraying dry ice from said dispenser, wherein the device comprises means for communication with a control unit.

According to the invention, the control unit sends a mission instruction to said device, which navigates between a storage location and the location of the mould and automatically cleans the vulcanization mould.

Embodiments of systems and methods for remotely controlling a robotic welding system over a long distance in real time are disclosed. One embodiment is a method that includes tracking movements and control of a mock welding tool operated by a human welder at a local site and generating control parameters corresponding to the movements and control. The control parameters are transmitted from the local site to a robotic welding system at a remote welding site over an ultra-low-latency communication network. The round-trip communication latency over the ultra-low-latency communication network is between 0.5 milliseconds and 20 milliseconds, and a distance between the local site and the remote welding site is at least 50 kilometers. An actual welding operation of the robotic welding system is controlled to form a weld at the remote welding site via remote robotic control of the robotic welding system in response to the control parameters.