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MIT vision system teaches robots to understand their bodies

Robotics Business Review

A 3D-printed robotic arm holds a pencil as it trains using random movements and a single camera — part of a new control system called Neural Jacobian Fields (NJF). This capability comes from a new system CSAIL scientists developed, offering a different perspective on robotic control.

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MIT CSAIL’s new vision system helps robots understand their bodies

Robotics Business Review

MIT tested its system on a soft robotic hand, a rigid Allegro hand, a 3D-printed arm, and a rotating platform with no sensors. It offers a different approach to robotic control. In every case, the system learned both the robot’s shape and how it responded to control signals, just from vision and random motion.