Inspection robots and methods for inspection of curved surfaces with sensors at selected horizontal distances are described. An example of such an inspection robot includes a housing; a drive module with a wheel and a motor operatively linked to the housing, a plurality of sensor sleds, and a payload. The payload, which is coupled to the housing, may include a first and a second rail component, each with at least one connector, where the rail components are connectable at a first selected position of a plurality of discrete engagement positions. Each of the rail components may be structured to support at least one of the plurality of sleds where each of the plurality of sleds is coupled to the payload at a respective selected horizontal position such that the plurality of sleds are at selected horizontal distances from each other.

An unmanned ground vehicle includes a main body, a drive system supported by the main body, a manipulator arm pivotally coupled to the main body, and a sensor module. The drive system includes right and left driven track assemblies mounted on right and left sides of the main body. The manipulator arm includes a first link coupled to the main body, an elbow coupled to the first link, and a second link coupled to the elbow. The elbow is configured to rotate independently of the first and second links. The sensor module is mounted on the elbow.

A tree and shrub cutting and trimming device having multiple robotic arms FIG. 2B and M for gross and fine movements, a wheeled movable base FIG. 3 and an electric cutting or trimming tool. This device allows the operator to be on the ground level, a substantial distance from the cutting surface and will not be holding the cutting or trimming device FIG. 6. This device drastically reduces insurance costs and labor cost, thus a less expensive much safer device to perform these tasks is provided in this field of endeavor.

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 tasks on 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, a tethering system adapted to prevent the robot from falling off of the cell tower, 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.

A building monitoring system includes a first sensor configured to detect a first condition in the space, a second sensor configured to detect a second condition in the space, and a robotic sentinel. The robotic sentinel includes a memory for storing one or more rules each configured to identify an alert condition for the space based on the first and/or second conditions in the space, a communications module configured to communicate with a remote device over a network, and a controller operatively coupled to the sensors, the memory, and the communications module. The controller is configured to apply the one or more rules to the first and second detected conditions in the space to identify one or more alert conditions and determine what action is required by the robotic sentinel, and if action is required, command the robotic sentinel to travel to a location of the alert condition.

According to one embodiment, a wireless device comprises circuitry configured to generate a control signal of a control target, generate transfer necessity indicating whether transfer of the control signal is necessary or unnecessary, generate control information including the control signal and the transfer necessity, and transmit a wireless signal corresponding to the control information.

An autonomous companion mobile robot and system may complement the intelligence possessed by a user with machine learned intelligence to make a user's life more fulfilling. The robot and system includes a mobile robotic device and a mobile robotic docking station. Either or both of the mobile robotic device and the mobile robotic docking station may operate independently, as well as operating together as a team, as a system. The mobile robotic device may have an external form of a three-dimensional shape, a humanoid, a present or historical person, some fictional character, or some animal. The mobile robotic device and/or the mobile robotic docking station may each include a fog Internet of Things (IoT) gateway processor and a plurality of sensors and input/output devices. The autonomous companion mobile robot and system may collect data from and observe its users and offer suggestions, perform tasks, and present information to its users.

A UV based surface disinfection system that consists of the UV light source, a robot arm, and an omni directional mobile base. The mobile robot can be programmed autonomously and be able to bring the UV light source to the centimeters away from surfaces to achieve effective and efficient surface disinfection. The mobile robot can navigate autonomously in a complicated environment to perform disinfection operation in a large area.

Techniques are described to implement a probe sensor that improves data capture and data analysis. A probe sensor can be emulated in a virtual environment. A robot simulation session is initialized. The session includes a virtual environment with several objects and a set of robots. Each robot has a virtual sensor. A separate client controls each robot. Data perceived by the virtual sensor is provided to the client for controlling the robot. To capture the data the virtual sensor emits a plurality of rays, each ray transmitted in a stochastically selected direction, and performs raytracing to determine an object(s) in the virtual environment on which each ray is incident. The stochastic data capture can also be performed by a sensor in a real world scenario. Further, in some cases, the data captured by a sensor is stochastically sampled to improve the computing.

Systems, methods, and related technologies are disclosed for multi-device robot control. In one implementation, input(s) are received and provided to a personal assistant or another application or service. In response, command(s) directed to an external device are received, e.g., from the personal assistant. Based on the command(s), a robot is maneuvered in relation to a location associated with the external device. Transmission of instruction(s) from the robot to the external device is initiated.