The new technology "proximity sensing and floating mechanism" confirms and controls finger movements, enabling bulk picking without a camera!
This is a robot hand that can accommodate various objects for "bulk picking without a camera" by changing the opening and shape of the fingers. By combining a unique "proximity sensor and floating mechanism," it inserts the fingers into a pile of workpieces and grips them through a so-called probing action. If it fails to grasp, it can immediately detect this and retry. Additionally, if the fingers collide with something, the floating mechanism allows for soft contact, enabling immediate cessation of movement to prevent damage to the robot. It can also handle soft objects gently and securely grip small or thin items. **Features** - Achieves picking without a camera - Built-in flexible joints for automatic collision avoidance - Instantly detects grasping failures and improves efficiency with quick retries *We also accept requests for online detailed explanations and gripping tests with test pieces.* *For more information, please refer to the PDF document or feel free to contact us.*
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basic information
【Demonstration videos are now available on YouTube】 ■ Screw Picking https://www.youtube.com/watch?v=vQnO19o8VaQ ■ Sausage Pick & Place https://www.youtube.com/watch?v=2bKteO4EkjU *For more details, please refer to the PDF document or feel free to contact us.
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Applications/Examples of results
In such situations at robot usage sites: ■ Many things cannot be grasped ■ It takes time to change setups ■ Teaching requires effort ■ High costs *For more details, please refer to the PDF document or feel free to contact us.
Company information
At Thinker Inc., we are commercializing robot sensors that utilize proximity sensing technology. Our "Proximity Sensor TK-01" realizes "proximity sensing," which captures the presence of objects without relying on vision or touch, through a unique sensing technology that simultaneously measures the distance and posture of the target object. This has made it possible to capture the shapes of objects, including blind spots that have been challenges in robot manipulation, as well as to recognize mirror-like and transparent materials.
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