Google Inc.

Waymo LLC

Ekso Bionics, Inc.

Alec Berg

Choon Ping Chng

Rachel Nancollas

Craig Lewin Robinson

Alexandra Levich

Alexander Zbrozek

Mark Hayter

Tim Swift

Adam Zoss

Katherine Strausser

Damien Dusha

Erick Brendan St John

Shawn Nematbakhsh

Jose Melendez

One example system for determining the orientation of a rotating platform comprises a rotating platform, a first magnetic field sensor configured to sense a magnetic field pointing in a first direction, a second magnetic field sensor configured to sense a magnetic field pointing in a second direction, wherein the second direction is different than the first direction (e.g., opposite the first direction), and at least one magnet producing a local magnetic field. The first magnetic field sensor, the second magnetic field sensor, and the at least one magnet are positioned relative to the rotating platform such that rotation of the rotating platform causes a change in the orientation of the local magnetic field relative to the first magnetic field sensor and the second magnetic field sensor.

Mitigating external magnetic fields on magnetic angle sensors

One example method involves generating a calibration control signal that causes an actuator to rotate a first platform at least one complete rotation about an axis. The method also involves receiving encoder output signals. The encoder output signals are indicative of angular positions of the first platform about the axis. The method also involves receiving sensor output signals from an orientation sensor mounted on the first platform. The sensor output signals are indicative of a rate of change to an orientation of the orientation sensor. The method also involves determining calibration data based on given sensor output signals received from the orientation sensor during the at least one complete rotation. The calibration data is for mapping the encoder output signals to calibrated measurements of the angular positions of the first platform about the axis.

Devices and methods for rotary encoder calibration

Systems and methods for estimating sensor timestamps by oversampling are provided. One example method involves observing, at a sampling frequency, sensor data from a register of a sensor. The sensor updates the register with sensor data at as sensor update frequency. The sampling frequency is different from the sensor update frequency. The method also involves generating, based on the sensor update frequency and the sampling frequency, an observed sequence representing the sensor data. The observed sequence indicates whether the register is observed to be updated or not updated. The method also involves estimating, from the observed sequence, the sensor update frequency and a sensor update phase. The method also involves determining, based on the sensor update frequency as estimated and the sensor update phase as estimated, a timestamp corresponding to an update of the register.

Estimating sensor timestamps by oversampling

In one general aspect, a method can include determining that a computing device is in a stationary position for a predetermined time, placing the computing device in a first power mode, detecting input from at least one sensor included in the computing device, identifying at least one application to launch on the computing device based on the detected input and on a heuristic-based usage pattern for the computing device, and transitioning the computing device from the first power mode to a second power mode based on the detected input. The transitioning can include automatically launching the at least one application on the computing device. The at least one application can provide content for display on a display device included in the computing device.

Intelligent device wakeup

A powered orthotic system, such as an exoskeleton, is employed for overground rehabilitation purposes by adapting and adjusting to real-time needs in a rehabilitation situation whereby the system can be initially controlled to perform gait functions for a wearer based on a predetermined level of assistance but the predetermined level of assistance can be varied, based on one or more rehabilitation parameters or specific needs of the wearer undergoing therapy, through the application and adjustment of appropriate variables associated with operation of the system.

Powered orthotic system for cooperative overground rehabilitation

In one general aspect, a method can include obtaining, by a computing device, a lid accelerometer vector for a lid accelerometer included in a lid portion of the computing device, and obtaining, by the computing device, a base accelerometer vector for a base accelerometer included in a base portion of the computing device. The method can include calculating a value for a lid angle based on the lid accelerometer vector and the base accelerometer vector, and identifying an operating mode for the computing device based on the calculated value of the lid angle, the operating mode being one of a laptop mode and a tablet mode.

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San Mateo, CA, United States of America

Alec Berg