There are now even fewer obstacles class you from your unexampled machinelike overlords . researcher have created a robotic cheetah   that can — for the first clip — autonomously observe objects and jump over them without slowing down . The squad of scientist   from the Massachusetts Institute of Technology ( MIT )   havedemonstratedhow the futuristic four - legged robot is able to realise half - meter ( 18 inch )   hurdles , while move at a speed of 5 mph , in the TV below .

Before jumping over a vault , the automatic cheetah be after out its path in a like way to a human runner . It estimates the height and length of the object it ’s approaching , decide on the best office to jump and exerts the force needed to jump   over the object and land   safely .

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Image credit :   Haewon Park , Patrick Wensing , and Sangbae Kim

The squad first tested the robotic cheetah ’s jumping ability on a treadmill , where it was tethered in place . It was able to chute over 70 per centum of the hurdle . They then test the automaton on a track , where it was able to jump over 90 percent of vault . The robot cheetah was able-bodied to even realize an 18 - in - tall obstruction , which is more than half of the automaton ’s own height .

“ A track startle is a in truth dynamic conduct . You have to manage balance and energy , and be able to handle impact after landing . Our automaton is specifically designed for those highly dynamical behaviour , ” said Sangbae Kim , an adjunct professor of mechanical engineering science at MIT , in astatement .

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The belated robotic cheetah is a substantial upgrade to the last design as it now   possesses   a visual scheme that allows it to " see . "   The data point collect from this vision is eat into a three - part algorithm   that allows the robot to project out its track , gaining full independent control .

investigator will continue to do work on the cheetah golem , try out it on more complex environments like sess . It will also be entered into theDARPA Robotics Challengefor a fortune to win   the $ 3.5 million prize money .