Centrifugal gyroscopic devices are described herein. A representative device can include a shaft, an arm coupled to the shaft, a rotor coupled to the arm, and a control system operably coupled to the shaft, the arm, and/or the rotor. The shaft is rotatable about a first axis and the arm is configured to rotate with the shaft. The arm is pivotable about a second axis and the rotor is configured to pivot with the arm about the second axis. The rotor is further pivotable about a third axis. The control system is configured to bring the shaft, the arm, and the rotor into a resonant mode in which the shaft rotates at a rotational rate, the arm oscillates about the second axis at a first frequency substantially equal to the rotational rate, and the rotor oscillates about the third axis at a second frequency substantially equal to the first frequency.

A navigation system includes an IMU, a navigation estimator configured to estimate a current navigation solution based on (i) a last navigation solution, and (ii) a specific force vector and a n angular rate vector measured by the IMU, an RI sensor, an RI data preprocessor configured to: perform a priori transformations of last RI data and current RI data to obtain transformed last RI data and transformed current RI data based on the last navigation solution and the current navigation solution, respectively, an RI filter manager (RFM) configured to construct a delta pose registration cost gradient (DPRCG) measurement based on (i) the transformed last RI data, (ii) the transformed current RI data, (iii) the current navigation solution, and (iv) the last navigation solution. The navigation estimator is further configured to determine an absolute navigation solution based on at least (i) the current navigation solution, and (ii) the DPRCG measurement.

A navigation system includes an IMU, a navigation estimator configured to estimate a current navigation solution based on (i) a last navigation solution, and (ii) a specific force vector and a n angular rate vector measured by the IMU, an RI sensor, an RI data preprocessor configured to: perform a priori transformations of last RI data and current RI data to obtain transformed last RI data and transformed current RI data based on the last navigation solution and the current navigation solution, respectively, an RI filter manager (RFM) configured to construct a delta pose registration cost gradient (DPRCG) measurement based on (i) the transformed last RI data, (ii) the transformed current RI data, (iii) the current navigation solution, and (iv) the last navigation solution. The navigation estimator is further configured to determine an absolute navigation solution based on at least (i) the current navigation solution, and (ii) the DPRCG measurement.

The invention relates to an observation device having a location determination functionality for the high-accuracy determination of the spatial location and thus the position and orientation (for example, Euler angles: azimuth, elevation angle, and roll angle) of the observation device by analysis of a recorded camera image of the terrain surrounding the camera by means of the three-dimensional map information of a digital terrain model (DTM). For this purpose, the observation device comprises a camera having an objective lens and a camera sensor, a data memory, a sensor system, an analysis unit, and a display screen.

The invention relates to an observation device having a location determination functionality for the high-accuracy determination of the spatial location and thus the position and orientation (for example, Euler angles: azimuth, elevation angle, and roll angle) of the observation device by analysis of a recorded camera image of the terrain surrounding the camera by means of the three-dimensional map information of a digital terrain model (DTM). For this purpose, the observation device comprises a camera having an objective lens and a camera sensor, a data memory, a sensor system, an analysis unit, and a display screen.

A navigation system includes an IMU, a navigation estimator configured to estimate a current navigation solution based on (i) a last navigation solution, and (ii) a specific force vector and a n angular rate vector measured by the IMU, an RI sensor, an RI data preprocessor configured to: perform a priori transformations of last RI data and current RI data to obtain transformed last RI data and transformed current RI data based on the last navigation solution and the current navigation solution, respectively, an RI filter manager (RFM) configured to construct a delta pose registration cost gradient (DPRCG) measurement based on (i) the transformed last RI data, (ii) the transformed current RI data, (iii) the current navigation solution, and (iv) the last navigation solution. The navigation estimator is further configured to determine an absolute navigation solution based on at least (i) the current navigation solution, and (ii) the DPRCG measurement.

A navigation system includes an IMU, a navigation estimator configured to estimate a current navigation solution based on (i) a last navigation solution, and (ii) a specific force vector and a n angular rate vector measured by the IMU, an RI sensor, an RI data preprocessor configured to: perform a priori transformations of last RI data and current RI data to obtain transformed last RI data and transformed current RI data based on the last navigation solution and the current navigation solution, respectively, an RI filter manager (RFM) configured to construct a delta pose registration cost gradient (DPRCG) measurement based on (i) the transformed last RI data, (ii) the transformed current RI data, (iii) the current navigation solution, and (iv) the last navigation solution. The navigation estimator is further configured to determine an absolute navigation solution based on at least (i) the current navigation solution, and (ii) the DPRCG measurement.

A programmable data processing circuit is configured for receiving sensor signals indicative of gestures for identification by the processing circuit. The processing circuit applies to the sensor signals finite state machine processing resources to provide identification output signals indicative of gestures identified as a function of the sensor signals. A plurality of finite state machine processing programs loaded into the processing circuit include a data section and an instruction section. The data section including a fixed size part specifying respective processing resources used by the programs in the plurality of finite state machine processing programs and a variable size part with respective sizes for allocating the respective processing resources used by the programs in the plurality of finite state machine processing programs. The instruction section including conditions and commands for execution by the respective processing resources used by the programs by operating on data located in the respective data sections.

Disposed within the body of a robotic device are an output element, accelerometer, gyroscope, and processor. The accelerometer sends a signal to the processor in response to detection of a vibration external to the body. The gyroscope sends a signal to the processor in response to a detection of movement of the body. The processor then sends an action signal to the output element based on the signals received from the accelerometer and gyroscope.

Disposed within the body of a robotic device are an output element, accelerometer, gyroscope, and processor. The accelerometer sends a signal to the processor in response to detection of a vibration external to the body. The gyroscope sends a signal to the processor in response to a detection of movement of the body. The processor then sends an action signal to the output element based on the signals received from the accelerometer and gyroscope.