Revolutionizing Manufacturing: How Realtime Robotics and Schaeffler are Transforming Robot Collaboration and Efficiency

Manufacturing facilities are increasingly turning to automation to improve efficiency and productivity. However, with the rise of complex environments and the addition of more robots to the factory floor, keeping operations collision-free and optimized can be a challenge. Realtime Robotics’ RapidPlan motion control and collision avoidance software provides a solution for manufacturers looking to improve productivity in these complex environments. In this article, we will explore how RapidPlan software helped Schaeffler optimize bin-picking operations with multiple robots, resulting in a significant increase in throughput.

Initial goal of the application

Schaeffler, a global supplier of bearings and automotive parts, wanted to optimize its use of robotics by having two robots pick parts from the same bin without colliding. This was a challenging task that required a solution that could accurately control the movement of the robots and prevent collisions in real-time.

Results of the Testing

Realtime Robotics’ RapidPlan software was the solution that Schaeffler turned to. The software was tested in a complex and unpredictable environment, where it was observed that running two separate robots together would dramatically improve the bin-picking time. The software exceeded expectations by improving throughput without significantly complicating the programming layers. Traditionally, to avoid collisions, each robot has to wait for the other one to complete its task before moving into its space. However, with RapidPlan, companies can truly capitalize on maximum productivity by adding additional robots to their application.

Benefits of RapidPlan

One of the primary benefits of RapidPlan is that it allows for more robots to be added to the application while capitalizing on maximum productivity. Most people would think that the addition of a second robot to operations would double throughput. However, in reality, companies typically only see about a 28-30% overall throughput increase. With RapidPlan, Schaeffler was able to improve throughput without significantly complicating the programming layers.

Results for Schaeffler

Schaeffler had set a target of a 60% increase in throughput, but the results far exceeded expectations with an almost double increase in throughput. RapidPlan significantly improved throughput for Schaeffler while eliminating the chance of time-consuming robot collisions. The test results have helped Schaeffler to further optimize its robot cells by adding more robots without slowing down operations.

Robot manufacturer-agnostic software

Another significant advantage of RapidPlan is that it is built to be robot manufacturer-agnostic, meaning that companies can use it to streamline the cell commissioning process. Companies no longer need to worry about compatibility issues with their current robots, as RapidPlan can work with any robot manufacturer.

Simulation capabilities with RapidPlan

Schaeffler used RapidPlan to quickly simulate their robot cells and gain a holistic cell simulation, which made it easy to plan out how the robots would move. Furthermore, they used the same simulation software to develop the real-life robot actions, leading to better and more efficient operations.

Realtime Robotics’ RapidPlan software is a game-changer for manufacturers looking to improve productivity in complex environments. The software optimizes robot movement in real-time while ensuring collision-free operations, leading to a significant increase in throughput. Furthermore, with RapidPlan’s robot manufacturer-agnostic and simulation capabilities, companies can streamline their cell commissioning process and optimize their operations even further. The future of robotics and manufacturing looks bright, and RapidPlan is leading the way.

Explore more

Is Fairer Car Insurance Worth Triple The Cost?

A High-Stakes Overhaul: The Push for Social Justice in Auto Insurance In Kazakhstan, a bold legislative proposal is forcing a nationwide conversation about the true cost of fairness. Lawmakers are advocating to double the financial compensation for victims of traffic accidents, a move praised as a long-overdue step toward social justice. However, this push for greater protection comes with a

Insurance Is the Key to Unlocking Climate Finance

While the global community celebrated a milestone as climate-aligned investments reached $1.9 trillion in 2023, this figure starkly contrasts with the immense financial requirements needed to address the climate crisis, particularly in the world’s most vulnerable regions. Emerging markets and developing economies (EMDEs) are on the front lines, facing the harshest impacts of climate change with the fewest financial resources

The Future of Content Is a Battle for Trust, Not Attention

In a digital landscape overflowing with algorithmically generated answers, the paradox of our time is the proliferation of information coinciding with the erosion of certainty. The foundational challenge for creators, publishers, and consumers is rapidly evolving from the frantic scramble to capture fleeting attention to the more profound and sustainable pursuit of earning and maintaining trust. As artificial intelligence becomes

Use Analytics to Prove Your Content’s ROI

In a world saturated with content, the pressure on marketers to prove their value has never been higher. It’s no longer enough to create beautiful things; you have to demonstrate their impact on the bottom line. This is where Aisha Amaira thrives. As a MarTech expert who has built a career at the intersection of customer data platforms and marketing

What Really Makes a Senior Data Scientist?

In a world where AI can write code, the true mark of a senior data scientist is no longer about syntax, but strategy. Dominic Jainy has spent his career observing the patterns that separate junior practitioners from senior architects of data-driven solutions. He argues that the most impactful work happens long before the first line of code is written and