Shimano, a leading manufacturer in the cycling industry, has recently made headlines with their patent application for a trainable machine learning program that revolutionizes the way mountain bike suspension and dropper seat posts are controlled. This groundbreaking technology allows for automatic adjustment of suspension behavior and seatpost position, with the added capability of being trained by the rider to perform optimally for different tracks.
The system incorporates a comprehensive data acquisition system that utilizes various sensors to measure parameters such as speed, cadence, torque, accelerations, tire pressure, and brake usage. Additionally, sensors on the suspension record information about its absorption capabilities, while a front-facing camera captures valuable visual data. All this information is fed into a control unit, connected to electric motors and solenoid valves that can adjust spring rate, damper position, stroke length, lock-out, seat post height, and saddle position.
Where Shimano’s patent truly shines is its ability to learn and adapt based on the data it collects. This kind of machine learning, commonly used in AI, allows the program to constantly improve its performance. Riders can provide direct feedback on suspension and seatpost adjustments made during the ride, helping the system learn the rider’s preferences and make better decisions in the future.
The system also shows potential for creating highly specialized suspension settings tailored to specific tracks and individual rider preferences. By collecting data and feedback during practice sessions, the program can fine-tune suspension behavior to maximize performance on different courses. While the current patent application does not mention actual racing applications, it raises interesting possibilities for professional athletes who have the opportunity to train on specific tracks before competitions.
It is worth noting that Shimano does not currently produce suspension components, which raises questions about the practicality of this technology coming to market. It is possible that Shimano is utilizing this system as an R&D tool to support their race teams rather than commercializing the technology.
While there are still many unknowns surrounding the implementation of this technology, Shimano’s patent application marks an exciting step forward in the world of bicycle suspension control. As the cycling industry continues to embrace advancements in AI and machine learning, we can expect to see further innovations that enhance the riding experience and push the boundaries of performance.
The source of the article is from the blog elektrischnederland.nl