Segments of daily training for robots driven by reinforcement learning. Multiple tests done in advance for friendly service humans. The training includes some extreme tests, please do not imitate!
Yang Liu
About
Robotics control engineer,with a strong foundation in Electrical Engineering and Information Technology, enriched by his education at the Technical University of Munich. At Unitree Robotics, Liu has been developing high-performance motion algorithms for quadruped robots, adeptly handling various high-difficulty and dynamic tasks. His specialized skills encompass trajectory optimization, robotic dynamics, and model predictive control. He is also proficient in various advanced robotic software and tools and well-equipped to navigate complex technical challenges.
Latest Posts
Unlock unlimited sports potential
Unitree H1 Deep Reinforcement Learning In-place Flipping Parameters: Weight: about 50kg Height: about 1.8m Actuator: electric motor
Let's step into a new era of Sci-Fi, join the fun together! Unitree will be livestreaming robot combat in about a month, stay tuned!
Single hand with 20 degrees of freedom (16 active+4 passive). Enable smooth backdrivability (direct force control). Equipped with 94 highly sensitive touch points (optional).
This fresh, newly captured video from Unitree's testing grounds showcases the breakneck speed of humanoid intelligence advancement. Every day brings something thrilling!
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