AutoStore vs Fetch Robotics

May 8, 2023
by Anthony Robinson
AutoStore vs Fetch Robotics

AutoStore vs Fetch Robotics

In today's highly competitive world of warehousing and logistics, companies are turning to automation technology to improve the efficiency and speed of their operations. Two of the leading players in the field of autonomous mobile robots (AMRs) are AutoStore and Fetch Robotics. In this article, we'll take an in-depth look at both companies and their respective technologies, comparing their advantages, drawbacks, and suitability for different businesses.

Introduction: A Brief Overview of AutoStore and Fetch Robotics

AutoStore is a Norwegian company that specializes in designing and manufacturing robotic fulfillment systems. Founded in 1996, it has established itself as a leader in AMRs with its flagship cube-based storage and retrieval system. This system utilizes a grid of bins and robots to efficiently move products around a warehouse.

Fetch Robotics, based in California, is a startup focusing on collaborative robots that work alongside human workers. Founded in 2014, Fetch Robotics has quickly gained popularity through its innovative approach. Their robots perform a variety of tasks, from fetching and transporting objects to assisting with inventory management and inspection.

AutoStore’s cube-based system is praised for its efficiency and space-saving design, capable of storing up to four times more products than traditional shelving systems. Its robots can move at speeds of up to 4 meters per second, making it a preferred choice for major retailers like ASOS and Best Buy, as well as logistics companies such as DHL and Swisslog.

Fetch Robotics' collaborative robots are versatile, catering to industries including manufacturing, logistics, and healthcare. Equipped with sensors and cameras, these robots navigate complex environments, avoid obstacles, and perform tasks like transporting medical supplies in hospitals, assisting with order picking in warehouses, and even serving as receptionists in office buildings.

Understanding Autonomous Mobile Robots (AMRs)

AMRs are self-guided mobile robot systems that autonomously navigate warehouses or manufacturing facilities without human intervention. Utilizing a combination of sensors, cameras, and mapping software, they efficiently navigate their surroundings, avoiding obstacles and selecting optimal routes.

Both AutoStore and Fetch Robotics leverage AMR technology. AutoStore’s robots operate within a grid of bins, using lifts to access different levels, whereas Fetch Robotics’ robots navigate freely across the warehouse floor, detecting objects and people to prevent collisions.

One key benefit of AMRs is their adaptability to changing environments. They can update their maps and routes in real-time to accommodate new obstacles or layout changes, making them ideal for dynamic settings where traditional fixed automation systems fall short.

Additionally, AMRs offer significant flexibility. They can be programmed for a wide range of tasks, from simple material handling and transportation to complex operations like picking and packing, making them suitable for various industries including e-commerce, manufacturing, and logistics.

AutoStore: Technology and Features

AutoStore’s primary advantage lies in its highly efficient storage and retrieval system. Products are stored in cube-shaped bins that stack vertically, maximizing space utilization. The grid layout allows robots to move between bins and retrieve items swiftly, bringing them to designated picking areas.

  • High Density: AutoStore can store up to four times the quantity of products compared to traditional shelving systems. Robots navigate between levels without consuming floor space, enhancing storage capacity.
  • 24/7 Operations: The robots are designed to operate continuously without breaks, significantly boosting warehouse speed and efficiency.
  • Customization: The system can be tailored with different bin sizes and configurations to meet specific warehouse needs, optimizing space usage and storage for diverse products.
  • Real-Time Inventory Tracking: Integrated sensors monitor the location and quantity of each product, providing accurate, up-to-date inventory data for efficient management and order fulfillment.

These features have made AutoStore a preferred choice for companies seeking high-density storage solutions with reliable, round-the-clock operations.

Fetch Robotics: Technology and Features

Fetch Robotics excels in flexibility and collaboration with human workers. Designed to work alongside people, their robots support various tasks, such as fetching items and delivering them to specific areas where human workers can perform quality checks or packing.

  • Versatility: Fetch’s robots handle tasks including inventory management, utilizing sensors to scan barcodes and RFID tags, and uploading data to inventory management systems for real-time stock updates.
  • Advanced Safety Features: Equipped with sensors and cameras, Fetch robots detect obstacles and avoid collisions, ensuring safe interactions with human workers. They also feature emergency stop buttons and automated shutdown protocols in case of safety hazards.
  • Collaborative Design: These robots are designed to integrate seamlessly with human workflows, enhancing productivity without replacing human roles.

Fetch Robotics’ focus on collaboration and safety makes their robots ideal for environments where human and robot interactions are frequent and essential.

Design and Functionality Differences Between AutoStore and Fetch Robotics

A primary distinction between AutoStore and Fetch Robotics is their storage approach. AutoStore employs a fixed grid of stacked bins, optimizing for high-density storage but with less flexibility in warehouse layout. Conversely, Fetch Robotics’ robots move freely across the warehouse floor, allowing for more adaptable and dynamic layouts.

Another difference lies in human collaboration. AutoStore’s robots operate independently within their grid system, whereas Fetch Robotics’ robots work alongside human workers, supporting tasks that require human oversight or intervention.

Additionally, AutoStore’s high-density storage is advantageous for storing large volumes of small items but may result in longer retrieval times for specific products. Fetch Robotics, with their free-moving robots, can offer quicker access to items, enhancing retrieval speed.

Cost considerations also differentiate the two systems. AutoStore typically requires a substantial upfront investment for specialized bins and shelving. In contrast, Fetch Robotics may present a more cost-effective solution for smaller or more flexible warehouses, as it demands less infrastructure.

Evaluating Cost-Effectiveness of AutoStore vs Fetch Robotics

The cost-effectiveness of AutoStore and Fetch Robotics varies based on factors like warehouse size, product volume, and desired automation level. Generally, AutoStore demands a higher initial investment due to its structured grid system and specialized components. However, it may offer long-term savings through increased storage capacity and operational efficiency.

Fetch Robotics offers a more flexible and potentially lower-cost implementation, especially suitable for smaller warehouses or those requiring adaptable layouts. The collaborative nature of their robots may also reduce labor costs by enhancing productivity without significant workforce reductions.

Ultimately, the specific needs and goals of a warehouse will dictate which system offers better cost-effectiveness. For instance, warehouses requiring high accuracy and dense storage might find AutoStore more economical in the long run, while those needing easy adaptability may benefit more from Fetch Robotics.

Comparing Speed and Efficiency of AutoStore vs Fetch Robotics

Both AutoStore and Fetch Robotics enhance warehouse speed and efficiency, albeit in different ways. AutoStore’s grid system allows rapid movement of items within a structured environment, suitable for high-speed item retrieval and storage. Fetch Robotics’ ability to navigate complex environments enables them to perform diverse tasks efficiently, particularly in dynamic settings.

Key factors influencing speed and efficiency include:

  • Item Size and Weight: AutoStore is ideal for smaller items, facilitating quick storage and retrieval. Fetch Robotics can handle larger and heavier items, providing versatility in operations.
  • Warehouse Layout: AutoStore requires a predefined grid layout, optimizing speed within that structure. Fetch Robotics adapts to more open and flexible layouts, enhancing efficiency in varied environments.
  • System Integration: AutoStore integrates seamlessly with warehouse management systems for real-time tracking, while Fetch Robotics offers customization options for specific tasks and workflows, potentially increasing overall efficiency.

The optimal choice between the two depends on the warehouse’s specific operational requirements and product characteristics.

Use Cases for AutoStore and Fetch Robotics Across Industries

Both AutoStore and Fetch Robotics cater to a diverse range of industries, each excelling in different applications:

  • E-Commerce: AutoStore’s high-density storage is perfect for managing vast inventories, enabling rapid order fulfillment. Fetch Robotics aids in flexible order processing and inventory management.
  • Retail: AutoStore enhances stock management and shelf replenishment, while Fetch Robotics supports tasks like inventory audits and customer service assistance.
  • Healthcare: Fetch Robotics is particularly beneficial for transporting medical supplies and equipment within hospital settings, ensuring timely availability and reducing manual handling.
  • Manufacturing: Both systems support material handling, with AutoStore optimizing storage of components and Fetch Robotics facilitating assembly line support and material transport.

Potential Drawbacks and Reliability Comparison

While both systems offer significant advantages, they also have potential drawbacks:

  • AutoStore: Its reliance on a fixed grid system can limit flexibility and may require more maintenance. The high-density storage can also lead to longer retrieval times for specific items.
  • Fetch Robotics: The need for human-robot collaboration may necessitate additional training and supervision. Ensuring seamless interaction between humans and robots can pose challenges.

In terms of reliability, both AutoStore and Fetch Robotics have proven track records with successful deployments worldwide. However, as with any technology, there is potential for downtime due to software updates or hardware issues. Regular maintenance and updates are essential to maintaining optimal performance.

Suitability for Small to Medium-Sized Businesses

For small to medium-sized businesses, Fetch Robotics may offer a more affordable and flexible solution. Its collaborative design allows easy integration into existing workflows without significant infrastructure changes. This makes it ideal for businesses looking to scale their operations without substantial upfront investments.

AutoStore might be better suited for businesses with high volumes of small products that require rapid picking and packing. While the initial investment is higher, the efficiency gains can justify the cost for businesses with substantial inventory needs.

Suitability for Large-Scale Fulfillment Centers

Large-scale fulfillment centers may benefit more from AutoStore due to its high-density storage capabilities and fast item retrieval times. The ability to store a vast number of products in a compact space can significantly enhance operational efficiency in large facilities.

However, depending on specific requirements, such as the need for flexible layouts or diverse product handling, Fetch Robotics might still present a viable alternative. Its adaptability and collaborative features can cater to unique operational demands within large-scale environments.

The Future of AMRs: Implications for AutoStore and Fetch Robotics

The future of AMRs is promising, with increasing adoption across various industries seeking to enhance operational efficiency through automation. Advancements in AI, machine learning, and sensor technologies are set to make AMRs even more intelligent and adaptable.

For AutoStore and Fetch Robotics, this evolution means continued growth and the opportunity to integrate more sophisticated features into their systems. Enhanced data analytics, improved machine learning capabilities, and greater interoperability with other warehouse systems will likely define the next generation of AMRs.

As businesses continue to prioritize automation, both AutoStore and Fetch Robotics are well-positioned to lead the market. Their ongoing innovation and ability to adapt to changing industry needs will be crucial in shaping the future landscape of warehouse and logistics automation.

References

About the Author

Anthony Robinson is the CEO of ShipScience, a pioneering company dedicated to helping e-commerce leaders optimize their shipping decisions, reduce costs, and automate tedious processes. With a Bachelors Degree in Economics from Stanford University, Anthony brings over two decades of expertise in logistics, business development, and operational efficiency to the table.
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