The biped robot NAO is driven to reproduce the walking action in a slope environment according to the corresponding movement strategy and the label ...
Using Kinect sensors to obtain the walking information of the human body under different slopes, and then using LSTM neural network to jointly learn the degrees ...
Using Kinect sensors to obtain the walking information of the human body under different slopes, and then using a long short-term memory neural network to ...
Limited by the structure, the walking motion of the biped robot on the slope is prone to the problem of the centroid shifting back and forth, which causes ...
The algorithm merges gait trajectory generation and control, and can be used for global control, for local control along an existing trajectory as well as for ...
Missing: Recognition. | Show results with:Recognition.
This research aims to replicate a human-like walking gait in a bipedal robot through meticulous mechanical design and engineering.
The results indicate that the fuzzy adaptation algorithms presented are successful in enabling the robot to climb slopes of 5.6 degrees (10 percent) in ...
Missing: Recognition. | Show results with:Recognition.
This work explores an innovative algorithm designed to enhance the mobility of underactuated bipedal robots across challenging terrains.
Feb 1, 2019 · Jung-Yup, Ill-Woo, and Jun-Ho [11] describe a walking control algorithm for biped humanoid robots that considers an uneven and inclined floor.
This work presents the mechanical human gait-based 3D bipedal walking robot. The robot mimics human walking through the push-off mechanism at the ankle, ...
Missing: Recognition. | Show results with:Recognition.
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