Nature

Deep reinforcement learning trajectory planning for robotic manipulator based on simulation-efficient training

DRL (Deep Reinforcement Learning) has become a research hotspot in the trajectory planning of robot arms, enabling robots to show behaviors close to humans in tasks such as grasping, opening doors, ...
Nature

RETRACTED ARTICLE: Reinforcement learning-driven deep learning approaches for optimized robot trajectory planning

Trajectory planning and control of bipedal walking robots require precise joint torque computation to ensure stability and efficiency. Given the nonlinear dynamics and complex interactions of bipedal ...