eess.SY(2024-10-28)

📊 共 4 篇论文

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支柱一:机器人控制 (Robot Control) (2) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
1 Combining Deep Reinforcement Learning with a Jerk-Bounded Trajectory Generator for Kinematically Constrained Motion Planning 结合深度强化学习与Jerk约束轨迹生成器,解决机器人运动规划中的安全性和稳定性问题 motion planning reinforcement learning deep reinforcement learning
2 User-Centered Design of Socially Assistive Robotic Combined with Non-Immersive Virtual Reality-based Dyadic Activities for Older Adults Residing in Long Term Care Facilities 面向长期照护老年人,提出基于社交辅助机器人与虚拟现实的交互活动设计 humanoid humanoid robot

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
3 Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness 提出基于量子强化学习的两阶段机组组合框架,增强电力系统鲁棒性。 reinforcement learning deep reinforcement learning DRL
4 Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement Learning 提出量子计算增强强化学习的双层模型,优化电力市场机制。 reinforcement learning PPO

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