# 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](/content/vision-based-3d-bin-picking-old/index.html) 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.