Abstract:
Methods, computer readable media, and apparatuses provide robotic explosive hazard detection. A robot intelligence kernel (RIK) includes a dynamic autonomy structure with two or more autonomy levels between operator intervention and robot initiative A mine sensor and processing module (ESPM) operating separately from the RIK perceives environmental variables indicative of a mine using subsurface perceptors. The ESPM processes mine information to determine a likelihood of a presence of a mine. A robot can autonomously modify behavior responsive to an indication of a detected mine. The behavior is modified between detection of mines, detailed scanning and characterization of the mine, developing mine indication parameters, and resuming detection. Real time messages are passed between the RIK and the ESPM. A combination of ESPM bound messages and RIK bound messages cause the robot platform to switch between modes including a calibration mode, the mine detection mode, and the mine characterization mode.
Abstract:
A hand-held controller includes a controller body having right and left grips. The controller body defines a left control zone adjacent the left grip and a right control zone adjacent the right grip. A first set of input devices disposed in the left control zone includes a first analog joystick, a 4-way directional control adjacent the first analog joystick, and a left rocker control located adjacent the 4-way directional control. A second set of input devices disposed in the right control zone includes a second analog joystick, an array of at least four buttons adjacent the second analog joystick, and a right rocker control adjacent the button array. The hand-held controller also includes a display disposed on the controller body adjacent the left and right control zones.
Abstract:
An autonomous vehicle having an interface for payloads that allows integration of various payloads. A vehicle control system controls an autonomous vehicle, receives data, and transmits a control signal on at least one network. A payload is adapted to detachably connect to the autonomous vehicle and includes a network interface configured to receive the control signal from the vehicle control system over the at least one network. The vehicle control system may encapsulate payload data and transmit the payload data over the at least one network, including Ethernet or CAN networks. The payload may be a laser scanner, a radio, chemical detection system, or GPS unit. In certain embodiments, the payload is a camera mast unit, where the camera communicates with the autonomous vehicle control system to detect and avoid obstacles. The camera mast unit may be interchangeable, and may include structures for receiving additional payload components.
Abstract:
Systems and methods for virtualized computing or cloud-computing network with distributed input devices and at least one remote server computer for automatically analyzing received video, audio and/or image inputs for providing social security and/or surveillance for a surveillance environment, surveillance event, and/or surveillance target.
Abstract:
Autonomous data machines and systems may be provided, which may be deployed in an environment. The machines may roam within the environment and collect data with aid of one or more sensors. The data may be sent to a control center, which may optionally receive information from additional data sources, such as other on-site sensors, existing static data, or real-time social data. The control center may send instructions to the machines to perform one or more reaction based on the received information. The autonomous data machines may be capable of reacting autonomously to one or more detected condition. In some instances, the autonomous data machines may be employed for security or surveillance.
Abstract:
An obstacle detector for a mobile robot while the robot is in motion is disclosed. The detector preferably includes at least one light source configured to project pulsed light in the path of the robot; a visual sensor for capturing a plurality of images of light reflected from the path of the robot; a processing unit configured to extract the reflections from the images; and an obstacle detection unit configured to detect an obstacle in the path of the robot based on the extracted reflections. In the preferred embodiment, the reflections of the projected light are extracted by subtracting pairs of images in which each pair includes a first image captured with the at least one light source on and a second image captured with the at least one light source off, and then combining images of two or more extracted reflections to suppress the background.
Abstract:
An unmanned surveillance device includes a robot control terminal configured to be loaded within a remote control robot under a surveillance environment, collect state information and surrounding circumstance information, operate the remote control robot in driving mode or surveillance mode according to a remote control command corresponding to the state information and surrounding circumstance information. Further, the unmanned surveillance device includes a remote control system configured to receive the state information and the surrounding circumstance information of the remote control robot from the robot control terminal, output the received state information and surrounding circumstance information of the remote control robot, and provide the remote control command to the robot control terminal.
Abstract:
The illustrative embodiments provide a method and apparatus for controlling movement of a vehicle. Movement of an operator located at a side of the vehicle is identified with a plurality of sensors located in the vehicle and the vehicle is moved in a path that maintains the operator at the side of the vehicle while the operator is moving.
Abstract:
A hand-held controller includes a controller body having right and left grips. The controller body defines a left control zone adjacent the left grip and a right control zone adjacent the right grip. A first set of input devices disposed in the left control zone includes a first analog joystick, a 4-way directional control adjacent the first analog joystick, and a left rocker control located adjacent the 4-way directional control. A second set of input devices disposed in the right control zone includes a second analog joystick, an array of at least four buttons adjacent the second analog joystick, and a right rocker control adjacent the button array. The hand-held controller also includes a display disposed on the controller body adjacent the left and right control zones.
Abstract:
A method for improving situational awareness for teleoperation of a remote vehicle by creating a 3D map display of an area around the remote vehicle comprises: receiving an original image from a stereo vision camera and utilizing the original image to perform visual odometry to determine the x, y, z, roll, pitch, and yaw for the original image; applying a fill-in algorithm to the original image to fill in an estimated depth for areas of the original image for which no depth data is available, which creates an enhanced depth image; combining the enhanced depth image with the x, y, z, roll, pitch, and yaw for the original image to create the 3D map display of the area around the remote vehicle; and displaying the 3D map display on an operator control unit used to control the remote vehicle.