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Home»Business News»Inbolt Introduces Cutting-Edge Bin Picking Innovation
Business News

Inbolt Introduces Cutting-Edge Bin Picking Innovation

December 12, 20253 Mins Read
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Inbolt Unveils New Bin Picking Solution for Industrial Robots

Inbolt, a leader in advanced vision-guidance systems for robots, has introduced a cutting-edge bin picking solution aimed at enhancing adaptability in industrial robotics. Designed for unpredictable environments, this innovative technology allows robots to recognize, pick, and place items with remarkable flexibility and precision, even when objects are randomly arranged or partially obscured.

Setting a New Standard

Conventional bin picking systems typically depend on fixed high-end 3D cameras, intricate calibration, and predefined grasp points. These setups can be costly, inflexible, and prone to issues when bins shift, parts go undetected, or defined pick points are inaccessible. Inbolt’s new approach redefines this model altogether.

By utilizing a 3D camera mounted directly on the robot arm, and powered by Inbolt’s unique AI, the robots can perceive and adapt in real-time. This technology provides a multitude of grasp strategies, eliminating the need for a flawless grasp. As a result, the system can pick items in under a second, achieving success rates of up to 95% in live manufacturing settings.

How It Works

Inbolt’s bin picking solution mimics human behavior in several key ways:

  • Human-like Picking: The robot identifies any side of an object that can be picked, similar to how a person would.
  • In-hand Observation: After gripping an object, the robot assesses its position.
  • Dynamic Adjustment: The AI constantly fine-tunes the robot’s movement to ensure accurate placement, utilizing real-time feedback.

This closed-loop process enables the robot to swiftly adapt to changes in part positioning and bin movements, providing a level of adaptability previously unseen in traditional bin picking systems.

Fast, Flexible, and Cost-Effective

Inbolt’s innovative on-arm camera design removes the necessity for multiple fixed cameras and costly installations. This allows manufacturers to use the same robot across various bins and setups, drastically cutting down on hardware expenses and installation time.

Albane Dersy, COO of Inbolt, emphasized the unique flexibility of their solution, stating, “Traditional bin picking systems are too rigid for real factory conditions. Our design allows for real-time adaptability, enabling robots to see, grasp, and adjust like humans do—this is essential for achieving true autonomous production.”

Key Advantages

Some of the standout features of Inbolt’s solution are:

  • Versatility: Works with bins of any shape or size, even if they change position during operation.
  • Speed: Average picking time is less than one second.
  • Dependability: Achieves pick rates of up to 95% in active production.
  • Cost-Effectiveness: Requires one camera per robot instead of per bin, eliminating complex overhead setups.
  • Scalability: Easily integrates across various stations or manufacturing sites.

Proven in Real-World Production

Inbolt’s unstructured bin picking technology is already in use in over five factories. The system has shown high operational uptime and throughput, showcasing its reliability in real-world industrial environments.

Powered by Advanced AI and 3D Vision

The system operates on NVIDIA’s hardware platform and is enhanced by Inbolt’s unique AI for robot guidance, which supports real-time position tracking and trajectory adjustments. This architecture minimizes computational demands while ensuring robust performance across diverse applications and part shapes.

Inbolt is setting a new benchmark in industrial automation with this remarkable bin picking solution, redefining what’s possible in robotics.

3D cameras AI AI robot bin movement bin picking solution capability configurations flexibility high-resolution setups industrial conditions industrial robotics next-generation production Real Time Robots strategies Traditional bin trajectory WBO
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