Time-of-flight sensors for wearable robotic training devices

A method of collecting training data using a wearable data collection device, the method comprising:

• emitting light from at least one time-of-flight sensor mounted on the wearable data collection device;
• detecting reflections of the light at a grid of light receivers of the at least one time-of-flight sensor;
• collecting time-of-flight data representing time between emission of the light and detection of the reflections at the grid of light receivers;
• and
• processing and transmitting the time-of-flight data via a processing circuit operatively coupled to the at least one time-of-flight sensor.

A method of training a robotic control model, the method comprising:

• receiving time-of-flight data captured during a recording session by at least one time-of-flight sensor mounted on a wearable data collection device, wherein:
• the wearable data collection device comprises a hand element configured to receive a hand of a user and a plurality of finger elements extending from the hand element;
• and
• the at least one time-of-flight sensor comprises a light emitter, a grid of light receivers, and circuitry configured to collect the time-of-flight data representing time between emission of light and detection of reflections at the grid of light receivers;
• processing the time-of-flight data to generate training data for a neural network;
• and
• training the neural network using the training data to generate a trained neural network model, wherein the trained neural network model is configured to control a robotic counterpart device having a sensor configuration that includes at least one time-of-flight sensor corresponding to the at least one time-of-flight sensor of the wearable data collection device.