Abstract: A system and method for incorporating gamma-frequency sound waves into a melody is described. The method includes identifying a chord sequence of the melody, the melody comprising a plurality of chord sequences, and identifying a chord of the chord sequence. A root note for the chord is identified. The method includes identifying an amplitude level of the chord sequence, and selecting a gamma wave having a selected gamma wave frequency of between 15 Hz and 80 Hz, the selected gamma wave frequency selected to correspond to the root note. The selected gamma wave is embedded over the chord sequence at a gamma wave amplitude of 0.1 to 10 decibels above the chord sequence amplitude level, and the steps are repeated for one or more additional chord sequences to produce a gamma wave embedded melody.

Abstract: According to embodiments of the present disclosure is an automatic floor preparation or maintenance system. The system uses a laser rangefinder to map a workspace, while a path planning module uses the map to determine a path for the concrete polishing vehicle to travel. A propulsion system moves the vehicle along the determined path. A user interface allows an operator to remotely monitor the autonomous operations.

Abstract: According to embodiments of the present disclosure is an automatic floor preparation or maintenance system. The system uses a laser rangefinder to map a workspace, while a path planning module uses the map to determine a path for the concrete polishing vehicle to travel. A propulsion system moves the vehicle along the determined path. A user interface allows an operator to remotely monitor the autonomous operations.

Abstract: According to embodiments of the present disclosure is an automatic floor preparation or maintenance system. The system uses a laser rangefinder to map a workspace, while a path planning module uses the map to determine a path for the concrete polishing vehicle to travel. A propulsion system moves the vehicle along the determined path. A user interface allows an operator to remotely monitor the autonomous operations.

Abstract: According to embodiments of the present disclosure is an automatic floor preparation or maintenance system. The system uses a laser rangefinder to map a workspace, while a path planning module uses the map to determine a path for the concrete polishing vehicle to travel. A propulsion system moves the vehicle along the determined path. A user interface allows an operator to remotely monitor the autonomous operations.

Abstract: According to embodiments of the present disclosure is an automatic floor preparation or maintenance system. The system uses a laser rangefinder to map a workspace, while a path planning module uses the map to determine a path for the concrete polishing vehicle to travel. A propulsion system moves the vehicle along the determined path. A user interface allows an operator to remotely monitor the autonomous operations.

Abstract: In accordance with the present invention, a system to organize and coordinate components associated with earthmoving machinery capable of performing excavating and loading tasks autonomously is disclosed. The system comprises an earthmoving machine equipped with a scanning sensor system operable to provide data regarding regions within an earthmoving environment including an excavation region and a loading region and a planning and control module operable to receive data from the scanning sensor system to plan a task associated with the control of the earthmoving machine while concurrently performing another task associated with control of the earthmoving machine. Any number and type of sensor systems, such as a laser rangefinder or a radar rangefinder, may be incorporated in the system depending on requirements and the capabilities of the system.

Abstract: In accordance with the present invention, a modular architecture to organize and coordinate components that are needed to automate earthmoving tasks, and to coordinate the flow of data between the components is disclosed. The architecture includes three main subdivisions: a sensor pipeline, sensor data consumers, and motion planners and executors. The sensor pipeline receives raw sensor data from perceptual sensors such as a laser rangefinder or radar system, and converts the data into a form which is usable by the other system components. Sensor data can also be represented in the form of an elevation map of the surrounding terrain for other software components to use. Any number and types of sensor systems may be added to the software architecture depending on requirements and the capabilities of the system. The sensor data consumers use the sensor data as input to specific algorithms to produce information regarding the machine's environment for use by other system components.