Motorcycles have come a long way over the past five years. At this point, Motorcycle AI is a great candidate for the next big innovation for futuristic motorcycles, as bikes are using machine learning models. Self-learning technology is already a big part of our lives. Industries like healthcare and e-commerce to a large extent. Take advantage of this technology, and the motorcycle industry is no exception.
Thanks to machine learning, electric motorcycles can now learn and adapt to each individual rider to improve the riding experience on every trip. From the 100% electric powertrain HyperDrive to the award-winning CoPilot, Advanced Warning System for Motorcycles (AWSM), its technology is helping to achieve the goal of zero fatalities on every HyperSport motorcycle by 2030.
Gigi Dall ‘Igna, General Manager of the Ducati circuit, which has won two Superbike world titles, among others, has been tasked with the challenging task of getting the Ducati racing boat back on track after their efforts in both factory races in MotoGP and in World Superbike are beginning to decline.
According to sportrider.com, in addition to Lorenzo, he also turned to big data (not a big twist) and implemented the first IoT, ML and AI technologies on Ducati motorcycles for the MotoGP competition.
Every year, MotoGP bikes need to be set up for 18 tracks, and each time the possibilities are endless. The learning algorithms come into play and, according to Ducati’s statements, made the difference in making the right choice in bike setup.
To make big data big, they implemented an AI and IoT project to simulate the behavior and performance of the bike in different conditions. The bike’s sensors, which range from 40 to 100, collect data such as speed, engine operating parameters, RPM, tire and brake temperature, acceleration, oscillation, vibration and grip.
Once the data is collected, AI is applied to determine the right settings. According to the company, around 4,000 track sectors and 20 different racing scenarios were analyzed, and a broader rollout of the solution is to be expected.
When it comes to bicycles, Ducati isn’t the only manufacturer using big data to get information, competed with the time of Valentino Rossi. Equipped with a humanoid robot, the MOTOBOT managed to complete a complete lap on the track without coming close to Rossi’s time. Yamaha boldly predicts the robot will overtake Rossi in two years and that scares us even more, but the purpose of the project is not to build a motorcycle that is in MotoGP can keep up, but rather to improve existing road bikes and make them safer for cyclists.
