Far there have been the times in which the maximum technology in the world of motorcycling had to do with the compound on the wheels. Now the motorcycle and the pilot are a part of a huge set of data and it is obvious that not only the fuel drives the races.
Currently, motorcycles competing in the MotoGP World Championship have dozens of sensors that measure all possible parameters: From temperature and individual wheel pressure, to the optimal degree of inclination for each curveof each circuit, depending on the conditions of the pilot, but also of the meteorology. And now robotics and artificial intelligence take another step.
In high performance races, where every millisecond counts, Lenovo and Ducati have joined to develop a robot, which visited the MWC and is promoted by the Lenovo ThinkStation P360 ultra workstation. But it is not a new collaboration.
A five years behind, both developed the Lenovo Remote Garage. A Remote enclosure that allows engineers who are outside the circuit facilities offer real -time assistance through live track data analysiswhich helps adjust motorcycles, predict performance results and quickly solve any problem that arises during the race weekend.
The last advance in this section is The AI Ducati Robot, a small autonomous vehicle capable of traveling the track at a speed of 6 km/h While obtaining information from 200 meters around, to guarantee cover the entire circuit.
Thanks to this robot of about 30 kilos, The equipment can create a digital twin of the circuit: A detailed virtual model that precisely draws every millimeter using 200 GB of data per circuit, the equivalent of a thousand hours of video.
The results to date show that Have very realistic data to feed simulation algorithmscombined with high performance technology to boost complex data analysis, you can save between two and a half seconds and three seconds per race, which is equivalent to an advantage of 300 meters at the output.
The small robot travels the circuit at a step similar to the engineers, but Analyze each surface, each change with respect to last year and compare it with previous races to suggest from the type of tire, to the most efficient traced for each type of pilot.
The simulations created with This technology constitutes a “technological crystal ball” that allows you to approach the future of the race and know at what time and place it is more advisable to be conservative and where to risk, depending on factors such as grip, outflow and the acceleration capacity of the motorcycle.