![]() “Cassie can perform a spectrum of different gaits but as we specialized it for speed we began to wonder, which gaits are most efficient at each speed?” Crowley said. ![]() “Completing a 5K was about reliability and endurance, which left open the question of, how fast can Cassie run? That led the research team to shift its focus to speed.”Ĭassie was trained for the equivalent of a full year in a simulation environment, compressed to a week through a computing technique known as parallelization – multiple processes and calculations happening at the same time, allowing Cassie to go through a range of training experiences simultaneously. “Cassie has been a platform for pioneering research in robot learning for locomotion,” Crowley said. Students and researchers come from a range of backgrounds including mechanical engineering, robotics and computer science. The Dynamic Robotics and AI Lab melds physics with AI approaches more commonly used with data and simulation to generate novel results in robot control, Fern said. ![]() “Machine learning approaches have long been used for pattern recognition, such as image recognition, but generating control behaviors for robots is new and different.” “We have been building the understanding to achieve this world record over the past several years, running a 5K and also going up and down stairs,” said graduate student Devin Crowley, who led the Guinness effort. Since Cassie’s introduction in 2017, in collaboration with artificial intelligence professor Alan Fern, OSU students funded by the National Science Foundation and the DARPA Machine Common Sense program have been exploring machine learning options in Oregon State’s Dynamic Robotics and AI Lab. The robot has knees that bend like an ostrich’s and operates with no cameras or external sensors, essentially as if blind. Cassie, the first bipedal robot to use machine learning to control a running gait on outdoor terrain, completed the 5K on Oregon State’s campus untethered and on a single battery charge.Ĭassie was developed under the direction of Oregon State robotics professor Jonathan Hurst with a 16-month, $1 million grant from the Defense Advanced Research Projects Agency, or DARPA. The 100-meter record builds on earlier achievements by the robot, including traversing 5 kilometers in 2021 in just over 53 minutes. – Cassie the robot, invented at the Oregon State University College of Engineering and produced by OSU spinout company Agility Robotics, has established a Guinness World Record for the fastest 100 meters by a bipedal robot.Ĭassie clocked the historic time of 24.73 seconds at OSU’s Whyte Track and Field Center, starting from a standing position and returning to that position after the sprint, with no falls. This allowed Joule to compare the heat energy change of the water to the E P of the weights, and understand how potential was related to heat energy.CORVALLIS, Ore. ![]() The moving paddles transferred the energy of the falling weight into turbulent heat in the water. In an experiment, Joule connected falling weights through a pulley system to a paddle wheel immersed in an insulated container of water. The first careful experiments to determine how much work was equivalent to a given quantity of heat were done by the English physicist James Joule (1818 to 1889) in the 1840s. Whenever there appears to be an increase in energy somewhere, like raising the center of mass of the body, there is a corresponding decrease somewhere else, like the body's kinetic energy or in chemical energy from food. When we try to understand the energetics of a race in terms of body energy, our reasoning depends on The law of conservation of energy, which states that energy cannot be created or destroyed under the usual conditions of everyday life. This energy could come at the expense of kinetic energy, requiring the runner to slow down, or it could be supplied by metabolic processes. This is 0.0041 Cal/step, of if the race is 100 steps, a total of. ![]()
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