Robotic arm learns new moves

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Getting a grip of objects of various sizes, shapes and textures is an issue that is simpler for humans, but not so straight forward for a robot. University of Cambridge scientists have produced a soft, 3Dimensional printed robotic hand unable to independently move its fingers, however may still conduct a range of complex movements.

The researchers had trained the robotic hand to grasp various objects having the ability to forecast if it would drop them by applying the information given by sensors placed on its ‘skin’.

The type of passive movement displayed made the robot much easier to control with increased energy efficiency than robots with completely motorized fingers. Researchers indicated that their adaptable design may be applied in the production of economical robots having greater ability of natural movement capable of learning to grasp a wide range of objects. The findings were published in the journal Advanced Intelligent Systems.

Researchers indicated that in nature, movements occur as a result of the interplay between the brain and the body. This paves the way for humans and animals to have complex movements in the absence of expanding needless amounts of energy. In the past several years, soft components have commenced its integration into robotics design as a result of advances in 3D printing methods, permitting researchers to add advanced features to simple, energy-efficient systems.

The extremely complex nature of the human hand, with recreations of all of its dexterity and adaptability in a robot is a huge research obstacle. A majority of the present advanced robots are unable to carry out manipulation tasks that small children could easily do. An example given was that humans instinctively aware of the amount of force to apply when gripping an egg, but for a robot, is a major obstacle, as excessive force, and the egg may result in the egg getting crushed; minimum forces, and the robot may drop it. Additionally, a fully actuated robot hand, having motors for every joint in every finger, requires a significant amount of energy.

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