Apparatus, systems and methods for robotics

A system comprising:

• a processing device comprising:
• image processing circuitry to generate images for display comprising a virtual body comprising one or more virtual limbs,
• image analysis circuitry to generate virtual body configuration information indicative of one or more first sets of joint positions for the virtual body in one or more of the images, and
• a machine learning model to receive the virtual body configuration information and trained to map at least one first set of joint positions for the virtual body to a second set of joint positions for a robotic device comprising a plurality of joints, wherein the processing device is configured to output control information in dependence on the second set of joint positions for controlling one or more actuators of the robotic device;
• and
• the robotic device, wherein the robotic device comprises:
• receiving circuitry to receive the control information from the processing device;
• and
• control circuitry to control one or more actuators of the robotic device in response to the control information.

A method comprising:

• generating images for display comprising a virtual body comprising one or more virtual limbs;
• generating virtual body configuration information indicative of one or more first sets of joint positions for the virtual body in one or more of the images;
• and
• inputting the virtual body configuration information to a machine learning model trained to map at least one first set of joint positions for the virtual body to a second set of joint positions for a robotic device comprising a plurality of joints;
• and
• outputting control information to the robotic device in dependence on the second set of joint positions for controlling one or more actuators of the robotic device.

A non-transitory computer-readable medium storing computer software which when, executed by a computer, causes the computer to perform a method comprising:

• generating images for display comprising a virtual body comprising one or more virtual limbs;
• generating virtual body configuration information indicative of one or more first sets of joint positions for the virtual body in one or more of the images;
• and
• inputting the virtual body configuration information to a machine learning model trained to map at least one first set of joint positions for the virtual body to a second set of joint positions for a robotic device comprising a plurality of joints;
• and
• outputting control information to the robotic device in dependence on the second set of joint positions for controlling one or more actuators of the robotic device.