Abstract: A method for controlling a robotic device to perform a task may include determining a force measurement corresponding to a section of sensors coupled with a digit of a plurality of digits of a robotic device. The force measurement may include a magnitude of a force and a position of a centroid of the force in the section that are determined based on contact with an object corresponding to a time. The method may further include determining a digit position of the digit corresponding to the time, and moving the digit, based on a prediction, to stabilize the object to perform a task. A machine learning model can generate the prediction based on the force measurement and the digit position. Other aspects are also described and claimed.

Abstract: A system can receive a measurement from a sensing glove utilized to perform a task with an object. The measurement may be based on digital outputs of force sensor arrays and digital outputs of motion sensors, including a force sensor array and a motion sensor corresponding to each of a plurality of finger sections of fingers of the sensing glove. The system can generate feedback based on a comparison between the measurement and a primary measurement from a primary sensing glove utilized to perform the task with the object. The primary measurement may be based on digital outputs of force sensor arrays and digital outputs of motion sensors of the primary sensing glove that correspond to digital outputs of the sensing glove. Other aspects are also described and claimed.

Abstract: A wearable device may include an article configured to be worn by a user and a sensor array coupled with the article. The sensor array may be configured to obtain force data, among other data. A system can receive information generated by the wearable device utilized to perform a task. The information may include motion data indicating a motion of the wearable device and the force data indicating a force applied to the wearable device. The force data may be obtained from the sensor array generating digital outputs. The system can control a robotic device to perform a robotic motion based on the motion data and apply a robotic force based on the force data to repeat the task. The robotic device may include a sensor array to determine a force applied to the robotic device for controlling the robotic force. Other aspects are also described and claimed.

Abstract: Embedded sensor structures and stretchable embedded sensor films including a plurality of embedded sensor packages are described. An embedded sensor structure may include a sensor package including an integrated circuit (IC) die and sensor die bonded to a front side of the IC die, with the sensor die including a diaphragm that is deflectable toward a cavity. A planarization layer laterally surrounds the sensor package, and metal routing is formed on a top side of the sensor die and spanning over the planarization layer. Other aspects are also described and claimed.

Abstract: A wearable device may include an article configured to be worn by a user and a sensor array coupled with the article. The sensor array may be configured to obtain force data, among other data. A system can receive information generated by the wearable device utilized to perform a task. The information may include motion data indicating a motion of the wearable device and the force data indicating a force applied to the wearable device. The force data may be obtained from the sensor array generating digital outputs. The system can control a robotic device to perform a robotic motion based on the motion data and apply a robotic force based on the force data to repeat the task. The robotic device may include a sensor array to determine a force applied to the robotic device for controlling the robotic force. Other aspects are also described and claimed.