Boston Dynamics Atlas Robot Shows Off An Impressive Gymnastics Skill Routine Unbelievable Video !!! Watch More #Atlas #Handle Etc Buy Boston Dynamics & Other Robots For Home /Office/Stores Etc ::::)
Les robots de Boston Dynamics savent désormais faire le poirier
Description : Boston Dynamics is an American engineering and robotics design company founded in 1992 as a spin-off from the Massachusetts Institute of Technology. Headquartered in Waltham, Massachusetts, Boston Dynamics is a wholly owned subsidiary of the Japanese conglomerate SoftBank Group.
Atlas, the almost 5-foot robot, completes a series of somersaults, jumps, twists and a handstand before sticking the landing. On its site, Boston Dynamics attributes Atlas' range of motion to the robot's 28 hydraulic joints.
"Then Atlas tracks the motions using a model predictive controller that smoothly blends from one maneuver to the next," Boston Dynamics said in the video description. "Using this approach, we developed the routine significantly faster than previous Atlas routines, with a performance success rate of about 80%."
Boston Dynamics didn't immediately respond to a request for comment.
Of course, Atlas isn't the only robot that Boston Dynamics makes. The Spot robot, which is now on sale for early adopters, has been adding feat after impressive feat to its resume. The little robot dog can pull a truck with its friends, and twerk
What’s most impressive is seeing Atlas tie all these moves together into one pretty cohesive routine. In the video’s description, Boston Dynamics says that it’s using a “model predictive controller” to blend from one maneuver to the next. Presumably each somersault gives the robot a fair amount of forward momentum, but at no point in the video does it seem to lose its balance as a result. Amazingly, Atlas is able to roll gracefully along its back without any of its machinery getting squashed or tangled.
Just because Boston Dynamics was able to film Atlas performing this routine, doesn’t mean it’s able to perform it flawlessly every time. The video’s description goes on to say that the robot has around an 80 percent success rate, meaning that for every five attempts the robot is likely to fail once. Still better than most meat sacks can do.
The current commercial iteration of Spot can run for 90 minutes off a single (swappable) battery charge, can carry up to 14 kg (30 lb), operate in temperatures spanning -20° C to 45° C (-4° F to 113° F), and is built to withstand dusty and wet environments.
All these relatively decent specs quite reasonably lead to the question of what commercial applications Spot could be actually used for. Boston Dynamics has been working for some time with early-adopting companies to explore possible industrial applications but practical uses do still seem relatively vague.
“Early customers are already testing Spot to monitor construction sites, provide remote inspection at gas, oil and power installations, and in public safety,” Boston Dynamics says.
Atlas is still essentially a research robot with no suggestion it will be available commercially in the near future. Nevertheless, it is worth remembering how far Boston Dynamics has come in such a short time, with its robots precariously trying to just walk only a few years ago.
Robot’s most spectacular video to date, we see Atlas perform a complex gymnastic routine demonstrating amazing balance. The dynamically swift flexibility of Atlas in this new video is simply spectacular with flawlessly smooth motions
The robot could be adapted for bomb disposal purposes. It is all very experimental at this point, however, those interested in buying a Spot can now contact a dedicated sales department to explore the possibility. Of course, no price tag has been publicly attached, so it certainly feels like a case of, if you need to ask how much it is then you can’t afford it.
Atlas uses its whole body -- legs, arms, torso -- to perform a sequence of dynamic maneuvers that form a gymnastic routine. We created the maneuvers using new techniques that streamline the development process. First, an optimization algorithm transforms high-level descriptions of each maneuver into dynamically-feasible reference motions. Then Atlas tracks the motions using a model predictive controller that smoothly blends from one maneuver to the next Source
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