New dual-arm robot achieves bimanual tasks by learning from simulation

An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions.

The new Bi-Touch system, designed by scientists at the University of Bristol and based at the Bristol Robotics Laboratory, allows robots to carry out manual tasks by sensing what to do from a digital helper., show how an AI agent interprets its environment through tactile and proprioceptive feedback, and then control the robots' behaviours, enabling precise sensing, gentle interaction, and effective object manipulation to accomplish robotic tasks.

"The tactile bimanual agent can solve tasks even under unexpected perturbations and manipulate delicate objects in a gentle way." For robotic manipulation, the robot learns to make decisions by attempting various behaviours to achieve designated tasks, for example, lifting up objects without dropping or breaking them. When it succeeds, it gets a reward, and when it fails, it learns what not to do. With time, it figures out the best ways to grab things using these rewards and punishments.

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