Robots Can Now Detect The Human Touch Without Artificial Skin

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Researchers at the German Aerospace Centre just developed a system that lets robots detect the human touch without needing artificial skin to do so. Using 6 sensors, embedded within a robotic arm, that captures subtle pressure changes as a way to determine or sense exactly where and how humans would be interacting with it.

The system uses advanced algorithms to interpret these interactions for a direct way for robots to understand human commands directly from physical touch.

This new tech turns every part of the robot to a touch responsive surface, where humans can directly interact using the robot itself as the ⁘interface', the way a touch screen works, for example.

This then takes away a need for external devices to command and interact with robots. The elimination of the ⁘middle-man' makes for a smoother and more intuitive communication process.

"Human-robot interaction, where a human can closely interact with and command a robot, is still not optimal, because the human needs an input device. If you can use the robot itself as a device, the interactions will be more fluid," says lead author of this study, Maged Iskandar.

Also, users can perform actions such as drawing characters, or pressing virtual buttons directly on the robot's surface for better ease of use. Although currently, the version developed is limited to only 2 contact points being recognised, which makes it difficult to work in more complex interaction cases, this is still a great innovation.

MIT shared, ⁘In a fairly controlled setting like a factory floor that might not be an issue, but in environments where human-robot interactions are less predictable, it could present limitations.⁘ As time goes, the development will continue to become more complex. The sensors are also relatively pricey due to it still being rare.

From here, we might start to see a combination of joint-based sensors and artificial skin tech, as Calogero Maria Oddo, a lead roboticist for Neuro-Robotic Touch Laboratory at the BioRobotics Institute believes.

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