Guanda Li
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View article: Two-Stage Learning of CPG and Postural Reflex Toward Quadruped Locomotion on Uneven Terrain With Simple Reward
Two-Stage Learning of CPG and Postural Reflex Toward Quadruped Locomotion on Uneven Terrain With Simple Reward Open
Locomotion control for quadruped robots has been extensively studied through various methodologies, including model-based, learning-based, and bio-inspired approaches. The integration of these methods is increasingly recognized as a powerf…
View article: AI-CPG: Adaptive Imitated Central Pattern Generators for Bipedal Locomotion Learned Through Reinforced Reflex Neural Networks
AI-CPG: Adaptive Imitated Central Pattern Generators for Bipedal Locomotion Learned Through Reinforced Reflex Neural Networks Open
Humans have many redundancies in their bodies and can make effective use of them to adapt to changes in the environment while walking. They can also vary their walking speed in a wide range. Human-like walking in simulation or by robots ca…
View article: Self-organizing neural network for reproducing human postural mode alternation through deep reinforcement learning
Self-organizing neural network for reproducing human postural mode alternation through deep reinforcement learning Open
A self-organized phenomenon in postural coordination is essential for understanding the auto-switching mechanism of in-phase and anti-phase postural coordination modes during standing and related supra-postural activities. Previously, a mo…
View article: Soft-body dynamics induces energy efficiency in undulatory swimming: A deep learning study
Soft-body dynamics induces energy efficiency in undulatory swimming: A deep learning study Open
Recently, soft robotics has gained considerable attention as it promises numerous applications thanks to unique features originating from the physical compliance of the robots. Biomimetic underwater robots are a promising application in so…
View article: Joint elasticity produces energy efficiency in underwater locomotion: Verification with deep reinforcement learning
Joint elasticity produces energy efficiency in underwater locomotion: Verification with deep reinforcement learning Open
Underwater snake robots have received attention because of their unique mechanics and locomotion patterns. Given their highly redundant degrees of freedom, designing an energy-efficient gait has been a main challenge for the long-term auto…
View article: Physical Properties and Environmental Impact of Sound Barrier Materials Based on Fly Ash Cenosphere
Physical Properties and Environmental Impact of Sound Barrier Materials Based on Fly Ash Cenosphere Open
Traffic noise and solid waste pollution are two major problems that restrict urban development and affect urban environments. In this study, a new kind of cement-based material for sound barriers was prepared using industrial waste fly ash…