X Development LLC

Google Inc.

Alex Shafer

Jeffrey Bingham

Bianca Homberg

Taylor Alexander

Joseph DelPreto

Emily B Cooper

Justine Rembisz

Adam Reich

Bruce M Schena

Mitchell Barham

Joseph Delpreto

A robotic gripping device is provided. The robotic gripping device includes a palm and a plurality of digits coupled to the palm. The robotic gripping device also includes a time-of-flight sensor arranged on the palm such that the time-of-flight sensor is configured to generate time-of-flight distance data in a direction between the plurality of digits. The robotic gripping device additionally includes an infrared camera, including an infrared illumination source, where the infrared camera is arranged on the palm such that the infrared camera is configured to generate grayscale image data in the direction between the plurality of digits.

Sensorized robotic gripping device

A mobile robotic device is disclosed which includes a plurality of one-dimensional (1D) time-of-flight (ToF) sensors. Each 1D ToF sensor of the plurality of 1D ToF sensors may be mounted at a fixed position and orientation on the mobile robotic device. Each pair of 1D ToF sensors of the plurality of 1D ToF sensors may be fixed at respective positions and orientations relative to each other such that respective cones of coverage of the pair of 1D ToF sensors are non-overlapping.

Mobile robot sensor configuration

Grasping of an object, by an end effector of a robot, based on a final grasp pose, of the end effector, that is determined after the end effector has been traversed to a pre-grasp pose. An end effector vision component can be utilized to capture instance(s) of end effector vision data after the end effector has been traversed to the pre-grasp pose, and the final grasp pose can be determined based on the end effector vision data. For example, the final grasp pose can be determined based on selecting instance(s) of pre-stored visual features(s) that satisfy similarity condition(s) relative to current visual features of the instance(s) of end effector vision data, and determining the final grasp pose based on pre-stored grasp criteria stored in association with the selected instance(s) of pre-stored visual feature(s).

Determining final grasp pose of robot end effector after traversing to pre-grasp pose

The present application discloses implementations that relate to devices and techniques for sensing position, force, and torque. Devices described herein may include a light emitter, photodetectors, and a curved reflector. The light emitter may project light onto the curved reflector, which may reflect portions of that projected light onto one or more of the photodetectors. Based on the illuminances measured at the photodetectors, the position of the curved reflector may be determined. In some implementations, the curved reflector and the light emitter may be elastically coupled via one or more spring elements; in these implementations, a force vector representing a magnitude and direction of a force applied against the curved reflector may be determined based on the position of the curved reflector.

Retroreflective multi-axis force torque sensor

A robotic arm system is provided. The system includes a one or more roll and/or angle actuators driven by a unidirectional drive. One or more clutches allow the actuators to engage and disengage with a drive shaft or a reverser assembly or angle drive coupled to the drive shaft, thereby permitting changes in rotational direction for the actuators without a change in the rotational direction of the drive.

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San Francisco, CA, United States of America

Alex Shafer