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Robotic human control sensors that allow robotic skin to be both tactile and visual
- Categories:Technical knowledge
- Time of issue:2020-06-01 16:11
(Summary description)For humans, the "sense of touch" plays a crucial role in everyday activities. In tasks such as picking up objects, people can feel hard or soft, light or heavy, warm or cold through their sense of touch, and the combination of touch and vision allows us to avoid damaging them. In today's rapidly developing technology, robots have been created that can walk, run, see, speak, hear, and other functions. However, the study of robot haptics is still relatively backward and new technologies need to be developed to overcome some of these problems.
Robotic human control sensors that allow robotic skin to be both tactile and visual
(Summary description)For humans, the "sense of touch" plays a crucial role in everyday activities. In tasks such as picking up objects, people can feel hard or soft, light or heavy, warm or cold through their sense of touch, and the combination of touch and vision allows us to avoid damaging them. In today's rapidly developing technology, robots have been created that can walk, run, see, speak, hear, and other functions. However, the study of robot haptics is still relatively backward and new technologies need to be developed to overcome some of these problems.
- Categories:Technical knowledge
- Time of issue:2020-06-01 16:11
- Views:
For humans, the "sense of touch" plays a crucial role in everyday activities. In tasks such as picking up objects, people can feel hard or soft, light or heavy, warm or cold through their sense of touch, and the combination of touch and vision allows us to avoid damaging them. In today's rapidly developing technology, robots have been created that can walk, run, see, speak, hear, and other functions. However, the study of robot haptics is still relatively backward and new technologies need to be developed to overcome some of these problems.
The multi-camera haptic sensor consists of four cameras located beneath a soft, transparent material that contains embedded scattered spherical particles inside. The cameras track the motion of these spherical particles, which are triggered by the deformation of the material when an external force is applied to it.
The researchers also developed a machine learning (ML) architecture that analyzes the motion of the spherical particles in the material. By analyzing the motion of the spherical particles, the system can reconstruct the forces that cause the deformation of the material, also known as the contact force distribution.
The researchers explain, "We use relatively inexpensive cameras to generate a large amount of high-resolution image information, providing a total of about 65,000 pixels, which is important for a data-driven haptic sensor."
The multi-camera haptic sensor not only provides the total force value that most standard force sensors used on existing robots can, but also provides feedback on the distribution of all forces applied to its soft surface, thus decoupling the normal and tangential components. Due to its unique structural design, the new multi-camera haptic sensor has a larger contact surface and thinner structure than other camera-based haptic sensors because it does not require the addition of other reflective components, such as mirrors.
Using multiple cameras allows the use of this type of haptic sensor to cover larger areas of arbitrary shapes," the researchers said. This work also shows how data obtained on a subset of cameras can be transferred to other cameras, resulting in an efficient way to obtain a scalable data."
Robotic human control sensors could eventually be extended to larger surfaces to create soft and sensable robotic skins. In the recent paper, the researchers discuss how their machine learning architecture can be adapted and optimized to facilitate its use in robotics in the future.
For future intentions, the researchers said they now plan to extend the sensor's capabilities to reconstruct information about contact with complex and generic-shaped objects. "We believe that sensing algorithms should always be developed with a data efficiency component in mind to facilitate widespread use in robotics, and therefore we will be moving in this direction in future work as well."
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