At first glance, a humanoid robot walking between two platforms through several pieces of coal slag may seem like a simple feat.
After all, how many times have you jumped from one stone to another, through a shallow stream, or through a narrow path while hiking without dumping, which seems rather simple to be correct, but humans navigate these obstacles through their complex joints and natural systems to create the ability to balance, and it is much more difficult to replicate in machines, especially self-operated machines.
To demonstrate this difficulty, researchers at the Human and Machine Cognition Institute in Pensacola, Florida released a video this month showing their efforts to train a 165-pound
The self-planned humanoid robot is used to walk on narrow terrain. In the three-
Minute video, robot
Build Atlas model using control, perception, and planning algorithms created by IHMC robots-
Carefully passing through a series of narrow blocks of coal slag and balance Wood reveals the level of physical control that many people have difficulty maintaining.
IHMC Robotics said in a statement accompanying the video that their robots "succeeded about 50% on this terrain.
"We plan to increase the success rate by using momentum to increase the balance and better consider the range of joint movements," the statement said . ".
"Due to the need to do some" crossover ", narrow terrain is difficult
Excessive steps, which are tricky due to the limited range of motion of the hip joint, also because there is a small support polygon when the 1 feet is directly in front of the other, the statement adds.
IHMC Robotic says their robots use lidar to sense the terrain below, a system that uses a pulse laser sensor to measure the distance between objects and is a navigation system for many autonomous vehicles
The robot also uses the path planning algorithm to track the route between the start of the journey and the target.
Jerry Pratt, a senior research scientist at Jerry mc Robotics, said researchers focused on creating humanoid robots that can walk in two feet on a variety of terrain.
He said that despite improvements, robots still cannot reach the same places as humans.
"The advantage of being a bipedal and humanoid is that your mobility is likely to be very good," Pratt said . ".
"If you think of anywhere humans can go, it's incredible.
We can climb the mountain, or go to the cave, or hike in the snow, or climb the stairs.
There are not many places we can't go.
"One of the reasons for this mobility is that human feet are only about three to 4 inch wide, while robots on wheels, such as Roomba, are about 13 inch wide," Pratt said.
Our relatively small, narrow feet can make it easy for us to bypass narrow obstacles or cross them while supporting a higher center of mass to keep us away from the ground, we can manipulate the world above.
For example, grab a branch with fruit attached).
The versatility offered by the bipedal humanoid robot is why researchers want to recreate it in the form of a robot.
At the moment, no humanoid or leg-like robot is sold to the app, except for entertainment, advertising and education, but that may change, Pratt said.
Pratt said he believes that for bomb squads, fire fighters or rescue missions, such as teams that sort out or avalanche in collapsed buildings, a two-foot humanoid robot will be immediately useful.
A difficult place for wheeled robots to reach-
Such as inside or inside a vehicle-
This, he said, provides an opportunity for a two-legged robot.
Perhaps the most interesting environment for using a two-legged humanoid robot is an alien.
When humans colonize other planets, Pratt says, there is a situation where remote-controlled robots are sent to the front to develop habitat suitable for humans.
'The ability to send robots that look and move like we do will give scientists significant advantages, 'Mr. Pratt said.
"If you have to design things on the ground for wheeled robots, it will be much more expensive," he added . ".
"We can reduce the required launch quality and even have a world designed for our bodies before we get there.
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