Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
The cerebellum implements structured representation of valence to support adaptive behavior control. [PDF]
Koyama W +7 more
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Review: "The Disappointment Dilemma: Short- and Long-Term Learning From Negative Outcomes". [PDF]
Ibañez-Tallon I +4 more
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Neuropeptide S modulation of learning and memory: a systematic review. [PDF]
Caragea VM, Jüngling K, Méndez-Couz M.
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AIS data-driven MAAC-Stackelberg multi-ship cooperative collision avoidance algorithm. [PDF]
Xu T, Wang T, Zhao J, Hu Q.
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Policy-Guided Model Predictive Path Integral for Safe Manipulator Trajectory Planning. [PDF]
Liang L, Wu C, Wang X.
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A Curriculum-Learning-Assisted MAPPO-Based Algorithm for Dynamic Spectrum Access and Anti-Jamming in UAV Swarms. [PDF]
Yuan X, Wen J.
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Obstacle Avoidance through Reinforcement Learning.
Prescott, T.J., Mayhew, J.E.W.
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