Eureka Robotics x Bridgestone Soft Robotics: Registration-free bin picking

Generates 3D point clouds without CAD or image pre-registration, enabling robots to instantly recognize and grasp unknown objects.

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Challenge

• Bin picking with wide variation in product size, type, and shape
• Managing a large variety of SKUs typical in e-commerce fulfillment
• Difficulty handling glossy, thin, or semi-transparent objects using conventional methods

Process

• Automatic detection of object position, orientation, and gripping method
• Real-time, collision-free robot path generation
• Flexible gripping with Bridgestone Soft Robotics’ “TETOTE and” gripper (suction or four-finger grasp)

Solution

• Masterless Picking: Eureka’s 3D processing pipeline enables object picking without prior data registration or training.
• Robust Recognition: The AI-based stereo 3D camera operates without pattern projection, allowing accurate recognition of glossy, semi-transparent, and thin objects with minimal sensitivity to reflections and lighting.
• High-Precision Calibration: Integrated 3D camera and robot control simplify calibration and facilitate flexible robot/end-effector selection.
• Optimized Motion Planning: AI-generated grasping poses combined with advanced motion planning and collision avoidance ensure robust, reliable, and high-speed picking.

Outcomes

• Demonstrated the feasibility of scalable piece-picking automation for e-commerce fulfillment.
• Enabled the robotic hand to adaptively choose suction or fingers based on item characteristics.
• Achieved high reliability and speed in picking a wide variety of SKUs, expanding the scope of automation in logistics.