The famous humanoid parkour-robot, is back like a 10- point gymnast

The famous humanoid parkour-robot, is back like a 10- point gymnast

Atlas, the famous clever humanoid, it has come again. Now, stick to a gold medal-winning parkour-style gymnastics routine. You may recall two years ago when Atlas struggled desperately to place a box on a shelf, an incomplete display full of metaphors for every Monday. Last November, when Atlas once again demonstrated his super-intelligent parkour skills, jumping from block to block and even throwing deadly back-flips made headlines again.

Atlas has been described by its creator Boston Dynamics as “the world’s most dynamic humanoid robot” and pushed the robotics research platform from its first introduction in 2013. Originally measuring about 2 meters long (over 6 feet) and weighing about 150 kilograms (330 pounds), the atlas was created for the U.S. Defense Advanced Research Projects Agency (DRPA) to use the company’s robotics challenge. At the time, Atlas was one of the most advanced humanoid robots ever built. Nearly a decade later, bilateral powerhouses have perpetuated our unusual valley fantasies.

Atlas is back in 2019, this time as a liquid 10-point gymnast, comfortably stretched out his arms, bald, and driven with ease and compassion as he settles down a bit on the path to glory. Although this little split-kick is “Weave” At the end though Nowadays, the Atlas is made of 3D-printed parts weighing only 80 kg (1 just 6 pounds) and has a “power-to-weight ratio” that allows it to jump and somersault like an Olympian with a speed of 1.5 meters (5 feet) per second. Atlas also dynamic AF.

The robot with fixed legs is made up of “custom motos, valves and compact hydraulic unit touting 28 hydraulic joints for impressive forms of mobility”. Boston Dynamics writes on its website, “Atlas’s advanced control system enables highly varied and square locomotion while adding algorithms due to the complex dynamic interactions involving the whole body and the environment, Boston Dynamics wrote on its website.

In a new introduction to mobility driving, the makers of Atlas first used an optimization algorithm to convert high-level descriptions of movement into the speed that were “dynamic-potential” for robots. Atlas then tracked the motion using a model predictive controller that allowed each movement to blend seamlessly into the next. Boston Dynamics says the approach could result in a “significantly faster” routine than before with an 80 percent success rate.

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