Oleg Zabluda's blog
Saturday, June 03, 2017
 
Alex Honnold has become the first climber to free solo Yosemite’s 3,000-foot El Capitan wall.
Alex Honnold has become the first climber to free solo Yosemite’s 3,000-foot El Capitan wall.
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He ascended the peak in 3 hours, 56 minutes, taking the final moderate pitch at a near run. At 9:28 a.m. PDT, under a blue sky and few wisps of cloud, he pulled his body over the rocky lip of summit and stood on a sandy ledge the size of a child’s bedroom.

Honnold began his historic rope-less climb—a style known as “free soloing”—in the pink light of dawn at 5:32 a.m.
[...]
The route Honnold chose to reach the top of El Capitan, known as Freerider, is one of the most prized big wall climbs in Yosemite. The route has 30 sections—or pitches—and is so difficult that even in the last few years, it was newsworthy when a climber was able to summit using ropes for safety.
[...]
There are other climbers in Honnold’s league physically, but no one else has matched his mental ability to control fear. His tolerance for scary situations is so remarkable that neuroscientists have studied the parts of his brain related to fear to see how they might differ from the norm.

Honnold sees it in more pragmatic terms. “With free-soloing, obviously I know that I’m in danger, but feeling fearful while I’m up there is not helping me in any way,” he said. “It’s only hindering my performance, so I just set it aside and leave it be.”
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http://www.nationalgeographic.com/adventure/features/athletes/alex-honnold/most-dangerous-free-solo-climb-yosemite-national-park-el-capitan/
http://www.nationalgeographic.com/adventure/features/athletes/alex-honnold/most-dangerous-free-solo-climb-yosemite-national-park-el-capitan/

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Fetching Omnicopter
Fetching Omnicopter
"""
We have developed a computationally efficient trajectory generator for six degrees-of-freedom multirotor vehicles, i.e. vehicles that can independently control their position and attitude. The trajectory generator is capable of generating approximately 500'000 trajectories per second that guide the multirotor vehicle from any initial state, i.e. position, velocity and attitude, to any desired final state in a given time. In this video, we show an example application that requires the evaluation of a large number of trajectories in real time.
"""
https://www.youtube.com/watch?v=0gR1ekapOAE
https://www.youtube.com/watch?v=0gR1ekapOAE

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