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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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Free membership registrationThe "TK-01" is a proximity sensor for robotic hands that enables the picking of objects that traditional camera systems and general optical sensors struggle with. It can appropriately grasp not only transparent and mirror-like objects but also irregularly shaped and soft items like vegetables, thereby expanding the potential for robot implementation in areas and applications that have not been utilized before. Additionally, robots equipped with this product can finely adjust fingertip positions based on measurement results, allowing for operation with rough teaching. 【Features】 ■ Equipped with a unique infrared mechanism and a lightweight AI model ■ Expands the potential for robot implementation in previously unutilized areas and applications ■ Capable of measuring the distance to the object and the tilt of the gripping surface with high precision ■ Simplifies teaching and increases productivity *For more details, please refer to the PDF document or feel free to contact us. (Video provided by Associate Professor Yoshisuke Koyama, Osaka University)
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Free membership registrationRealizing "grasping objects with robots" is not easy, and there are various challenges piling up on-site. Aiming to become a key player in advancing the "home appliance integration of collaborative robots," we provide core components for collaborative robots. We also promote the minimization of teaching, eliminating resistance and hurdles to the introduction of collaborative robots. Thinker challenges what has been difficult for general robots with its unique proximity sensing and actuator technology. 【Business Overview】 ■ We are commercializing robot sensors that utilize proximity sensing technology with the following features: - Significantly simplifying the teaching process - Capable of grasping difficult-to-detect objects such as transparent materials and mirrors - Able to pick items by feel from bulk materials *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registrationThe "Proximity Sensor" measures distance and tilt with high speed and high resolution. Even for objects that are difficult to recognize with image recognition or light sensors, it can be recognized with high resolution due to hardware designed with a wide light-receiving section and reinforcement from machine learning models. It measures distance and tilt with consistent accuracy, even for transparent or mirror-like objects. Additionally, it contributes to reducing the operational burden and costs for system integrators and field workers, enabling quick responses to a variety of work types by shortening setup times. 【Features】 ■ Overwhelming miniaturization allows for various designs ■ Low cost and suitable for mass production ■ Detects "surfaces" without a camera (reducing overall system costs) ■ Unique AI model enables high-speed and high-resolution processing *For more details, please refer to the PDF document or feel free to contact us. (Video provided by: Associate Professor Yoshisuke Koyama, Osaka University)
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