Provided is a robot that includes: a first sensor having a first output and configured to sense state of a robot or an environment of the robot; a first hardware machine-learning accelerator coupled to the first output of the first sensor and configured to transform information sensed by the first sensor into a first latent-space representation; a second sensor having a second output and configured to sense state of the robot or the environment of the robot; a second hardware machine-learning accelerator configured to transform information sensed by the second sensor into a second latent-space representation; and a processor configured to control the robot based on both the first latent-space representation and the second latent-space representation.

Provided herein are systems and methods for magnetically gripping an object. A magnetic gripping system may comprise a gripper having different, tunable gripping states that are associated with different magnetic field strengths.

A robotic assistance device includes a robotic arm configured assist a human being and one or more sensors configured to receive input data. The input data includes information related to one or more activities being performed by the human being. The robotic assistance device further includes a processor operatively connected to the one or more sensors and the first robotic arm. The processor is configured to process data received from the sensor, and to determine, based on the processed data, that a task should be performed by the robotic assistance device based at least in part on the activities being performed by the human being. The processor is further configured cause the operative piece to perform the task.

A cleaning robot is provided. The cleaning robot includes a body, a light detection and ranging (LiDAR) module having a LiDAR sensor rotatably supported by the body, a light-emitting display module mounted on the LiDAR module, wherein the light-emitting display module is configured to display an image based on an afterimage effect according to a rotation of the LiDAR module.

A grinding or polishing device and a method for treating a workpiece are provided. The grinding or polishing device includes a tool holder for holding a grinding or polishing tool and a mounting head for mounting the tool holder to a multi-axis manipulator. The tool holder is rotatable with respect to the mounting head about a pivot axis. The grinding or polishing device further includes a sensor for converting at least one parameter indicative of an angular position of the tool holder about the pivot axis into an output signal that can be used for determining a control signal for controlling the multi-axis manipulator.

A surgical robotic system including a surgical table, a surgical robotic manipulator coupled to the surgical table and comprising a plurality of links coupled together by a plurality of joints that are operable to move with respect to one another to move the surgical robotic manipulator, at least one of the plurality of links or the plurality of joints having a portion that faces another of the plurality of links or the plurality of joints, a proximity sensing assembly coupled to the portion of the at least one of the plurality of links or the plurality of joints, the proximity sensing assembly operable to detect an object prior to the surgical robotic manipulator colliding with the object and to output a corresponding detection signal, and a processor operable to receive the corresponding detecting signal and cause the manipulator or the object to engage in a collision avoidance operation.

A mechanical hand mimics a human hand having similar degrees of freedom and sensory abilities while appearing visually similar to human hand. The mechanical hand comprises a mechanical hand skeleton and resilient elastomer (e.g., silicone) skin that fully encloses the mechanical hand skeleton. The mechanical hand skeleton may advantageously be molded directly into the resilient elastomer (e.g., silicone) skin such that the hand appears, moves, and feels very similar to a real human hand. The mechanical hand may have applications in robotics, for example as an end-of-arm tool or end effector, or may have other applications. Robotic applications may include prosthetics applications.

A robotic system for inspecting a part comprises a robot comprising an articulating arm and an end effector, coupled to the articulating arm. The robotic system further includes three or more proximity sensors on the end effector and spaced apart from each other. Each of the proximity sensors is configured to detect a measured distance from the proximity sensor to a surface, such that the end effector is displaced from the surface. The robotic system includes a controller configured to receive measured distances from the proximity sensors. The controller is also configured to orient the end effector to a predetermined orientation based on the measured distances. The controller is further configured to calculate an average of the measured distances. Additionally, the controller is configured to move the end effector to a predetermined operating distance from the surface based on the average of the measured distance.

A conveyance robot system according to the present disclosure includes a conveyance robot, and a robot control unit configured to control an operation of picking up an object performed by the conveyance robot, wherein the robot control unit determines that a movable range area, which is an area outside a safety cover where a robot arm is operated, satisfies a safety ensuring condition that can regard safety of the movable range area as equivalent to the safety inside the safety cover and allow the robot arm to perform a work while projecting toward the shelf.

A gripping system for an autonomous guided vehicle (AGV) and such AGV are disclosed herein. The gripping system for automated gripping and pulling/pushing a cart comprises a unique gripping end effector ensuring controlled steering of the cart while allowing rolling of the cart relative to the body of the AGV. The end effector comprises means for indication of state of connection between the cart and the gripping system, ensuring a reliable, safe and efficient cart gripping and pulling operation.