Question 1

What components does the solution consist of?

Accepted Answer

1. Gantry Robot Platform The base of the system, on which the robot arm can move flexibly and rapidly. Optimized for high speed and precision in article placement. 2. Gripper System A highly advanced, self-learning gripper capable of handling various shapes, sizes and materials. Enables safe handling of fragile and unusually shaped items. 3. AI Vision Technology Integrated 3D stereo vision cameras and RGB imaging for precise detection and measurement of articles. Identifies defective products and adjusts the gripping motion accordingly. 4. Software Platform Self-learning algorithms for continuous optimization of picking processes. Interfaces for integration into existing warehouse management systems (WMS). 5. Control Unit Monitors and coordinates all movements and processes of the GRIPP. Communicates with external systems for seamless integration. 6. User Interface Intuitive operator interface for easy configuration and control. Live monitoring and error analysis via video functionality. 7. Safety and Control Systems Sensors for obstacle detection and collision prevention. Mechanisms to ensure smooth and safe operation.

Question 2

How does the solution work in detail?

Accepted Answer

Data Collection and Analysis Input data: The GRIPP receives information about the articles to be picked via the warehouse management system (WMS), e.g. article type, position (in subdivided bins), quantity and destination. Detection via vision system: Using integrated 3D stereo vision camera technology, the GRIPP captures the dimensions (weight, height, width, length) of the article and checks its shape and condition. 2. Gripping the Article Self-learning gripper: The gripper system analyzes the properties of the article and automatically selects the optimal gripping strategy. Positioning: The gripper moves precisely and in a controlled manner to securely grip the article without damaging it. 3. Transport and Placement Movement on the gantry platform: The gripper transports the article along the gantry axes (X, Y, Z) quickly and efficiently to the destination. Precise placement: Using AI vision technology, the article is positioned at the desired point in the target bin or carton. 4. Error Detection and Optimization Quality control: The GRIPP detects defective articles or incorrect parts and automatically sorts them out. Self-learning adaptation: With each pick, the GRIPP optimizes its processes through machine learning to work with ever greater precision and efficiency. 5. User Interaction and Monitoring Intuitive operation: Via a user-friendly interface, operators can monitor the system status, adjust settings and analyze errors. Live video and remote monitoring: Integrated camera surveillance enables real-time control of the picking process and supports rapid troubleshooting. 6. Process Benefits Higher efficiency: Up to 1,200 picks per hour. Safe handling: Precise technology protects products from damage. Flexibility: Versatile use across various industries and for different product assortments.

Question 3

What are the unique selling points of this solution?

Accepted Answer

1. Self-Learning Software: Captures and processes articles of the most varied shapes, sizes and materials. Enables handling of fragile, irregularly shaped or unusually packaged products. 2. AI Vision Technology: Detects the weight, length, width and height of articles. Identifies defective parts and optimizes gripping movements to prevent damage. Uses 3D stereo vision cameras and RGB imaging for precise and controlled placements. 3. High Throughput: Processes up to 1,200 picks per hour. Increases efficiency without additional staffing requirements. 4. Flexibility: Applicable across various industries such as pharmaceuticals, e-commerce and food. Adaptable to different product assortments and requirements. 5. Intuitive User Interface: Enables easy operation and remote monitoring. Live video streaming supports rapid fault diagnosis and resolution. 6. Compact Design: Integrates seamlessly into existing intralogistics systems. 7. Reliability and Precision: Prevents product damage and errors in the picking process. Supports smooth and error-free intralogistics.

Question 4

What does your ideal customer look like?

Accepted Answer

1. Industry E-commerce: Companies with high order volumes and diverse product catalogs requiring fast and precise picking. Pharmaceutical industry: Operations that pick sensitive or high-value products with strict requirements for handling and traceability. Food industry: Companies that need to safely handle products with varying shapes, sizes or packaging. 2. Requirements High throughput: Customers processing large quantities of orders. Complex article assortments: Product ranges with various shapes, sizes and materials requiring flexible handling. Precision and quality: Customers who prioritize error-free picking and the prevention of product damage. 3. Company Size and Infrastructure Mid-sized to large enterprises: Companies with high automation potential and sufficient volume to invest in technologies such as the GRIPP. Existing logistics systems: Operations that use a warehouse management system (WMS) and are seeking seamless integration. 4. Goals and Challenges Cost reduction: Companies looking to reduce labor costs, especially in markets with labor shortages. Process optimization: Customers who want to increase efficiency and minimize picking errors. Future-proofing: Businesses investing in modern technologies to remain competitive. 5. Regionality and Growth Potential Companies in regions with growing e-commerce or increasing automation requirements. Customers looking to expand or enter new markets who need scalable solutions. The ideal customer for the GRIPP sees automation not only as a solution to current challenges, but also as an investment in long-term efficiency and competitiveness.

GRIPP - ROBOT PIECE PICKER

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