The choice of gait, that is, whether we are walking or running, is very natural for us, and we have never even thought about it. We walked slowly and ran fast. If we slowly speed up on the treadmill, we will walk slowly from the beginning and become running at a certain critical point; all this happens involuntarily, because it feels more comfortable. We are used to this, and when we see someone walking fast on the Olympic track, it will be especially interesting. Almost all animals automatically choose gait, although sometimes gait is different. For example, horses tend to walk at a slow speed, gallop at a medium speed, and gallop at high speed. What makes us feel that low speed is suitable for walking and high speed is suitable for running? How do we know that we have to change our choices, why don't we jump or gallop like a horse? What constitutes walking, running, trot, galloping and other gaits that can be found in nature? The research team led by Dr. C. David Remy of the University of Michigan Robotics and Motion Lab (RAM-Lab) is very interested in this and related issues for the simple reason that they want to build agile, fast and energy-efficient legged robots. The ability to use out-of-synchronization states may be a key factor in this task, as the benefits to humans and animals may be equally beneficial for legged robots. This is still a big "probability" because we don't currently know if using different footsteps will actually pay off, or how the gait that the robot fits looks like. Will they walk or run in some form, or something completely different? In nature, biomechanical studies have shown that the choice of gait is closely related to the energy cost of transportation. This cost indicates how many calories are needed to move a particular distance. For many animals, this is an important measure. Food is often a scarce resource, and efficient exercise may be the key to survival. To understand the impact of gait on transportation costs, researchers can estimate energy consumption by measuring the amount of oxygen that a person or animal consumes while walking in an asynchronous state. Using this technique has shown that at low speeds, less energy is required to walk, while at altitude, running uses less energy. To understand whether robots can achieve the same energy savings, Dr. Remy's team uses large-scale numerical optimization. That is, after building a computer model of a legged robot, they basically required an algorithm to automatically find the most efficient way forward. That is, they find movements that minimize costs. The computer solves this problem in a systematic way by simply trying to use any possible way of moving the model legs forward. The results of these optimizations are very significant. Even if the computer does not have the concept of walking, running, or gait, the best motion that occurs through this process is very similar to the gait and gait sequences found in nature. By changing the target speed of each movement, the best gait sequence can then be identified. The surprising discovery is that there is basically no surprise: in order to move with as little energy as possible, biped robots should walk at low speeds and at high speeds; quadruped robots must walk, gallop and gallop. It is worth noting that despite the huge differences in structure and movement between animals and robots, this result is still found. Solar Power System Accessories Solar Power System Accessories,Solar System Accessories,Solar Installation Kit,Solar Battery Kit SUZHOU DEVELPOWER ENERGY EQUIPMENT CO.,LTD , https://www.fisoph-power.com
