Described is the design, implementation, and evaluation of a robotic system configured to search for and retrieve RFID-tagged items in line-of-sight, non-line-of-sight, and fully-occluded settings. The robotic system comprises a robotic arm having a camera and antenna strapped around a portion thereof (e.g. a gripper) and a controller configured to receive information from the camera and (radio frequency) RF information via the antenna and configured to use the information provided thereto to implement a method that geometrically fuses at least RF and visual information. This technique reduces uncertainty about the location of a target object even when the object is fully occluded. Also described is a reinforcement-learning network that uses fused RF-visual information to efficiently localize, maneuver toward, and grasp a target object. The systems and techniques described herein find use in many applications including robotic retrieval tasks in complex environments such as warehouses, manufacturing plants, and smart homes.

A human augmented robotics intelligence operation system can include a plurality of robots, each robot having a plurality of sensors; a robot control unit; and one or more articulating joints; a cloud-based robotic intelligence engine having; a communication module; a historical database; and a processor; and a human augmentation platform. The processor can be configured to make a probabilistic determination regarding the likelihood of successfully completing the particular user command. When the probabilistic determination is above a pre-determined threshold, the processor sends necessary executable commands to the robot control unit. Alternatively, when the probabilistic determination is below the predetermined threshold, the processor generates an alert and flags the operation for human review.

A collaborative-robot control system is provided in the invention. The collaborative-robot control system includes a plurality of test machines, a plurality of collaborative robots, a first control system and a second control system. The plurality of test machines are configured in a plurality of paths. When the second control system assigns a first collaborative robot of the plurality of collaborative robots in a waiting area to a first test machine in a first path of the plurality of paths and the first collaborative robot is being blocked by a second collaborative robot of the plurality of collaborative robots in the first path, the second control system generates a push-forward command and transmits the push-forward command to the first control system. The first control system sends the push-forward command to the second collaborative robot to order the second collaborative robot to leave the first path first.

In various embodiments, the present disclosure relates to robot systems configured to operate on a cell tower to inspect, install, reconfigure, and repair cellular equipment. The present disclosure provides a robot for performing audit tasks of cell towers. The robot includes a body portion configured to hold various electronic components of the robot including monitoring equipment disposed thereon, one or more arms extending from the body portion adapted to manipulate components of a cell tower and to facilitate movement of the robot on the cell tower, embedded systems for flight, and wireless interfaces adapted to allow wireless control of the robot. The robot is configured to be controlled by one of a user in a remote location, a user at the cell tower site, and autonomously via direct programing.

An entertainment system includes: a robot device capable of acting in an autonomous action mode in a real world; a server device configured to cause a virtual robot associated with the robot device to act in a virtual world; and a terminal device capable of displaying an image of the virtual world in which the virtual robot acts. The server device provides the image of the virtual world to the terminal device. The server device transmits a request from the virtual robot to the robot device. When the robot device acquires the request from the virtual robot, the robot device acts in a collaboration action mode in which collaboration is made with the virtual robot.

A robot-connected IoT-based sleep-caring system includes a sleep-caring robot and an IoT system. The sleep-caring robot includes environment monitoring, physiology monitoring, sleep monitoring, sound, lighting and electricity control, a smart storage compartment, central data processing, and machine arms. The IoT system senses and executes instructions from the sleep-caring robot, thereby catering to bedroom activities of the user.

Inspection robots with swappable drive modules are described. An example inspect robot may include a first removeable interface plate on the side of a robot chassis. The first removable interface plate may couple a first drive module to an electronic board, within the chassis, where the electronic board includes a drive module interface circuit communicatively coupled to the first drive module. The example inspect robot may also include a second removeable interface plate on a side of a robot chassis. The second removable interface plate may couple a second drive module to an electronic board, within the chassis, where the electronic board includes a drive module interface circuit communicatively coupled to the second drive module.

A method of compressing tissue during a surgical procedure is disclosed. The method comprises obtaining a surgical instrument comprising an end effector, wherein the end effector comprises a first jaw and a second jaw, establishing a communication pathway between the surgical instrument and a surgical hub, and inserting the surgical instrument into a surgical site. The method further comprises compressing tissue between the first jaw and the second jaw, determining a location of the compressed tissue with respect to at least one of the first jaw and the second jaw, communicating the determined location of the compressed tissue to the surgical hub, and displaying the determined location of the compressed tissue on a visual feedback device.

In one embodiment, there is disclosed a robot configured to clean a surface of a coating having a König pendulum hardness of less than 75 counts, the robot comprising: a cleaning brush assembly comprising a lamellar cleaning brush having a plurality of lamellas extending outwardly from a brush core and having a height, the lamellar cleaning brush arranged to rotate about its axis to apply a cleaning action to the surface when it is in contact with the surface; wherein the robot is configured to apply a degree of compression of the brush on the surface such that the brush is held in a position a distance, towards the surface of the coating, away from an initial position at which the brush is in contact with, but not deformed by, the surface of the coating, wherein said distance is less than 56% of the height of the plurality of lamellas.

A mobile robot, capable of communicating with neighboring devices in a 5G communication environment and capable of efficient cleaning via machine learning based on such communication, comprises a main body configured to move in the movement space, a driving unit mounted on the main body to move the main body, a receiving unit configured to receive moving history information of a user robot that has been moved by a user in the movement space, a memory in which a computer-readable program and map information of the movement space are stored, and a control unit configured to communicate with the receiving unit, the memory, and the driving unit to control the main body, wherein the control unit establishes a moving area of the mobile robot based on the moving history information of the user robot received by the receiving unit.