2019/5/7 强化学习+机器人 文献检索

该博客聚焦近五年SCI文献检索,涵盖强化学习与机器人、强化学习与医疗机器人运动控制两方面。前者列出最高被引五篇文献及相关技术;后者介绍多篇文献,涉及运动控制、轨迹规划、自适应闭环反馈等内容。

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一、SCI检索近五年 reinforcemet learning + robot 最高被引五篇

1、Decoupled Visual Servoing With Fuzzy Q-Learning

image-based visual servoing (IBVS) methods、Q-learning Fuzzy、control

2、Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning

自适应轨迹跟踪

3、Data-Driven Optimal Consensus Control for Discrete-Time Multi-Agent Systems With Unknown Dynamics Using Reinforcement Learning Method

最优控制

4、End-to-End Training of Deep Visuomotor Policies

5、Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems

自适应轨迹跟踪

二、SCI检索近五年 reinforcemet learning + medical robot + motion control 

1、Online Trajectory Planning and Force Control for Automation of Surgical Tasks

运动控制与力力控制、鲁棒控制

2、Path Planning for Automation of Surgery Robot based on Probabilistic Roadmap and Reinforcement Learning

基于强化学习的轨迹规划

3、Closed-Loop Task Difficulty Adaptation during Virtual Reality Reach-to-Grasp Training Assisted with an Exoskeleton for Stroke Rehabilitation

将重力补偿辅助与虚拟现实中的自适应闭环反馈相结合

4、Towards Transferring Skills to Flexible Surgical Robots with Programming by Demonstration and Reinforcement Learning

导管插入和圆圈跟随强化学习精度提高

5、Reinforcement learning neural network (RLNN) based adaptive control of fine hand motionrehabilitation robot

强化学习神经网络(RLNN)控制方法

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