A response system may be provided. The response system may include a security system and an autonomous drone. The security system includes a security sensor and a controller. The drone includes a processor, a memory in communication with the processor, and a drone sensor. The processor may be programmed to receive the deployment request from the security system, navigate to the one or more zones of the coverage area included in the deployment request, collect drone sensor data of the one or more zones of the coverage area using the at least one drone sensor, determine that an incident has occurred, and/or transmit the collected drone sensor data and incident verification to the security system, wherein, in response to receiving the collected drone sensor data and incident verification, the security system is configured to generate a command for responding to the incident.

An apparatus for guiding an autonomous vehicle towards a docking station including an autonomous vehicle with a camera-based sensing system, a drive system for driving the autonomous vehicle, and a control system for controlling the drive system. The apparatus includes a docking station including a first fiducial marker and a second fiducial marker, wherein the second fiducial marker is positioned on the docking station to define a predetermined relative spacing with the first fiducial marker, wherein the control system is operable to receive an image provided by the camera-based sensing system, the image including a representation of the first and second fiducial markers, and to control the drive system so as to guide the autonomous vehicle towards the base station based on a difference between the representation of the first and second fiducial markers in the received image and the predetermined relative spacing between the first and second fiducial markers.

A vehicle includes a detection system configured to acquire data regarding operation of the vehicle, and a robotic driving device configured to provide robotic control of the vehicle. The vehicle also includes a control system configured to determine whether the robotic driving device is activated, such that the vehicle is in robotic driving mode; receive a request by a prospective operator of the vehicle to deactivate the robotic driving device to initiate a manual driving mode; determine whether the prospective operator is impaired based on the data; and selectively grant or refuse the request based on the determination.

Methods and systems for a full-scale vertical takeoff and landing manned or unmanned aircraft, having an all-electric, low-emission or zero-emission lift and propulsion system, an integrated ‘highway in the sky’ avionics system for navigation and guidance, a tablet-based motion command, or mission planning system to provide the operator with drive-by-wire style direction control, and automatic on-board-capability to provide traffic awareness, weather display and collision avoidance. Automatic computer monitoring by a programmed triple-redundant digital autopilot computer controls each motor-controller and motor to produce pitch, bank, yaw and elevation, while simultaneously restricting the flight regime that the pilot can command, to protect the pilot from inadvertent potentially harmful acts that might lead to loss of control or loss of vehicle stability. By using the results of the state measurements to inform motor control commands, the methods and systems contribute to the operational simplicity, reliability and safety of the vehicle.

An apparatus, method, and system of self-calibrating sensors and actuators for unmanned vehicles is provided, which includes an unmanned vehicle comprising: a chassis; a propulsion system; one or more sensors configured to sense features around the chassis; a memory; a communication interface; and a processor configured to: operate the propulsion system in a guided calibration mode; automatically switch operation of the propulsion system to an autonomous calibration mode when a degree of certainty on a calibration of one or more of sensor data and a position of the chassis is above a first threshold value associated with safe operation of the propulsion system in the autonomous calibration mode; thereafter, operate the propulsion system in the autonomous calibration mode; and, automatically switch operation of the propulsion system to an operational mode when the degree of certainty is above a second threshold value greater than the first threshold value.

A method for determining an energy-efficient path of an autonomous device wherein said autonomous device moves over a global grid of cells into which a given operating area has been split, the method being characterized in that determination of said energy-efficient path comprises the steps of: processing of the current cell (201); taking a measurement σ of the processing (202); classifying the measurement σ to be of a particular level Σ (203), taking into account a predefined division, of the measurements results range, into a plurality of measurements levels; storing said classified measurement in a memory of the autonomous device (204) and associating it with the current cell; selecting a reference probability grid (205); updating (207) the probabilities by applying the reference grid (100) to the global grid at its current position such that every cell on the reference grid (100) corresponds unambiguously to one cell on the global grid;

and moving the autonomous device to a next cell of the global grid (208) and setting said next cell as the current cell (201) in order to process the next cell.

The present invention is a mobile robot with an attached cleaning element and capable of autonomously seeking areas with low overhead clearance. In the preferred embodiment is a mobile robot using an array of upward facing distance sensors in communication with a controller to detect the presence of obstructions or surfaces above the apparatus. The controller directs the movements of the mobile robot through the use of a drive system, using pattern recognition to avoid becoming stuck and using random movements to increase floor coverage.

A flight management system for unmanned aerial vehicles (UAVs), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV carries on-board a 4G modem, an antenna connected to the modem for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

A method for navigating an airborne device relative to a target comprises detecting, at an optical detector on the airborne device, an optical signal generated by one or more LEDs on the target. The method also comprises comparing, by a processor on the airborne device, the detected optical signal with a previously-detected optical signal. The method further comprises determining, by the processor based on the comparison, a change in location of at least one of the airborne device or the target. The method also comprises adjusting a position of the airborne device based on the determined change in location. The method also comprises predicting, by the processor, a movement of the target based on information indicative of at least one of a position, a rotation, an orientation, an acceleration, a velocity, or an altitude of the target, wherein the position of the airborne device is adjusted based on the predicted movement of the target. The method also comprises detecting an obstacle in a flight path associated with the airborne device and adjusting a position of the airborne device is further based, at least in part, on detected obstacle information.

Disclosed are embodiments of environmental sensing devices and information acquiring methods applied to environmental sensing devices. In some embodiments, an environmental sensing device includes a camera sensor, a laser radar sensor that are integrated, and a control unit. The control unit is connected simultaneously to the camera sensor and the laser radar sensor. The control unit is used for simultaneously entering a trigger signal to the camera sensor and the laser radar sensor. The design of integrating the camera sensor and the laser radar sensor avoids the problems such as poor contact and noise generation that easily occur in a high-vibration and high-interference vehicle environment, and can precisely trigger the camera sensor and the laser radar sensor simultaneously, so as to obtain high-quality fused data, thereby improving the accuracy of environmental sensing. As a result, the camera sensor and the laser radar sensor have a consistent overlapping field of view.