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Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning

March 17, 2020 admin

Robots can use meta-learning to quickly adapt from simulation to various real world conditions.

See paper at https://arxiv.org/abs/2003.01239

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Last Topics Posts

  • Where is an overview of Bullets approach?
    Hi, the bullet source code is viewable but I did not see any documentation that ...
    by Derk at 20:59 2021-01-21
  • calculateInverseKinematics - currentPosition
    Hi, I want to control my robot using the calculateInverseKinematics function. Since I want to ...
    by robin_rob96 at 12:48 2021-01-21
  • inertia vector from inertia tensor matrix
    Thank you both. I can't say I fully understand it all, but I will ...
    by cc9cii at 11:23 2021-01-21
  • convexSweepTest returns differently for the same position.
    I'm using convextSweepTest to simulate my character capsule (imaginary, no real rigid body involved) sliding ...
    by wren945 at 10:38 2021-01-19
  • Please Help, I have a Rogue Motor
    Hi All, I have a very sad issue that's been driving me NUTS for two weeks ...
    by adim at 04:20 2021-01-19

Home of Bullet and PyBullet: physics simulation for games, visual effects, robotics and reinforcement learning.

Recent Posts

  • PyBullet/Bullet Physics 3.05
  • Assistive gym @ ICRA, 2020
  • Learning Agile Robotic Locomotion Skills by Imitating Animals
  • Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning
  • Lumote game using Bullet

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