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基于深度强化学习的机器人手臂控制 被引量:1
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作者 杨淑珍 韩建宇 +3 位作者 梁盼 古彭 杨发展 吕萍丽 《福建电脑》 2019年第1期28-29,共2页
基于深度强化学习策略,研究了机器人手臂控制问题。以两节机器人手臂为对象,给出奖励函数和移动方式等。结合深度学习与确定性策略梯度强化学习,设计深度确定性策略梯度(DDPG)学习步骤,使得机器人手臂经过训练学习后具有较高的环境适应... 基于深度强化学习策略,研究了机器人手臂控制问题。以两节机器人手臂为对象,给出奖励函数和移动方式等。结合深度学习与确定性策略梯度强化学习,设计深度确定性策略梯度(DDPG)学习步骤,使得机器人手臂经过训练学习后具有较高的环境适应性。实验表明基于深度强化学习机器人手臂可以快速并且准确的找到在环境中移动的目标点。 展开更多
关键词 深度强化学习 深度确定性策略梯度学习算法 机器人手臂控制
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基于A3C算法的机器人手臂控制
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作者 古彭 杨发展 +2 位作者 韩建宇 梁盼 杨淑珍 《中国科技期刊数据库 科研》 2019年第5期218-219,共2页
针对DQN、DDPG算法存在占用资源和效率低下,并且需要一个离线学习算法去更新由旧策略产生的数据的问题。本文采用一个简单、轻量级的深度强化学习算法--异步的优势行动者评论家算法(AsynchronousAdvantageActor-Critic,A3C)。A3C算法将A... 针对DQN、DDPG算法存在占用资源和效率低下,并且需要一个离线学习算法去更新由旧策略产生的数据的问题。本文采用一个简单、轻量级的深度强化学习算法--异步的优势行动者评论家算法(AsynchronousAdvantageActor-Critic,A3C)。A3C算法将Actor-Critic放在多个线程中进行同步训练神经网络控制器,有多个智能体与环境交互,并将各自信息整合到全局网络。因此,经验之间的相关性很小,甚至无相关性。在单个多核CPU运行,减少了训练时间。此外,A3C算法成功的解决了机器人手臂连续控制问题,使机械手臂更加准确的抓取物体。 展开更多
关键词 深度强化学习 A3C算法 机器人手臂控制
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基于ARM核处理器的机器人手臂控制系统 被引量:2
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作者 金一亮 陈佳品 李振波 《电子技术(上海)》 2007年第7期67-69,共3页
基于ARM内核处理器控制的机器人手臂控制系统由主控制模块、测量反馈模块和通信模块组成。本系统通过对直流减速电机的控制达到手臂伸缩控制的目的,控制精度由高减速比的减速箱保证,角度传感器通过减速齿轮与螺杆和手臂连接,并反馈手臂... 基于ARM内核处理器控制的机器人手臂控制系统由主控制模块、测量反馈模块和通信模块组成。本系统通过对直流减速电机的控制达到手臂伸缩控制的目的,控制精度由高减速比的减速箱保证,角度传感器通过减速齿轮与螺杆和手臂连接,并反馈手臂的位置量。手臂控制器与控制终端之间采用RS-422通信标准,考虑到多机器人的应用,使用拨码开关对控制器进行编号。 展开更多
关键词 ARM 机器人手臂控制 直流减速电机 角度传感器 RS-422
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机器人手臂轨迹跟踪控制算法研究现状
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作者 窦福谈 《中文科技期刊数据库(全文版)工程技术》 2016年第9期319-319,共1页
本文综合分析了机器人手臂控制常用的算法。分别从柔性机器人手臂的和刚性机器人手臂的两个类别所各自对应的不同控制算法进行分类阐述。
关键词 机器人手臂控制 控制算法 轨迹跟踪
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ADAPTIVE FUZZY CONTROL FOR ROBOT ARM MANIPULATOR WITH 5-DOF 被引量:1
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作者 Farooq M 王道波 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2007年第1期43-47,共5页
To control the robot and track the designed trajectory with uncertain disturbances in a specified precision range, an adaptive fuzzy control scheme for the robot arm manipulator is discussed. The controller output err... To control the robot and track the designed trajectory with uncertain disturbances in a specified precision range, an adaptive fuzzy control scheme for the robot arm manipulator is discussed. The controller output error method (COEM) is used to design the adaptive fuzzy controller. A few or all of the parameters of the controller are adjusted by using the gradient descent algorithm to minimize the output error. COEM is adopted in the adaptive control system for the robot arm manipulator with 5-DOF. Simulation results show the effectiveness of the method and the real time adjustment of the parameters. 展开更多
关键词 robotic arm manipulator adaptive fuzzy control controller output error method (COEM) gradient descent algorithm
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HIT anthropomorphic robotic hand and finger motion control 被引量:3
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作者 高晓辉 史士才 +4 位作者 赵大威 姜力 王智洋 蔡鹤皋 刘宏 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2006年第1期48-53,共6页
Nowadays many anthropomorphic robotic hands have been put forward. These hands emphasize different aspects according to their applications. HIT Anthropomorphic Robotic Hand (ARhand) is a simple, lightweight and dexter... Nowadays many anthropomorphic robotic hands have been put forward. These hands emphasize different aspects according to their applications. HIT Anthropomorphic Robotic Hand (ARhand) is a simple, lightweight and dexterous design per the requirements of anthropomorphic robots. Underactuated self-adaptive theory is adopted to decrease the number of motors and weight. The fingers of HIT ARhand with multi phalanges have the same size as those of an adult hand. Force control is realized with the position sensor, joint torque sensor and fingertip torque sensor. From the 3D model, the whole hand, with the low power consumption DSP control board integrated in it, will weigh only 500 g. It will be assembled on a BIT-Anthropomorphic Robot. 展开更多
关键词 anthropomorphic robotic hand under-actuated force sensor
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Mechanism Design of Palletizing Robot Based on Translating Cam Principle
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作者 李方义 马石磊 +1 位作者 何洋 徐庆钟 《Transactions of Tianjin University》 EI CAS 2012年第6期465-470,共6页
Palletizing robot technology has been applied more and more extensively in logistics automation field.But there are some limitations in the current single-arm palletizing robot that it cannot do effective work in the ... Palletizing robot technology has been applied more and more extensively in logistics automation field.But there are some limitations in the current single-arm palletizing robot that it cannot do effective work in the process of moving back to the taking-end and the mechanical arm has so many freedoms that its control system is relatively complex.Based on the translating cam principle,a novel palletizing robot is designed.The horizontal movement of the palletizing mechanical arm is controlled by changeable outer slides,and the vertical movement is controlled by partitioned up-and-down spindles.To improve palletizing efficiency,the single palletizing mechanical arm is changed into multi-arm.Moreover,to improve its kinematic properties,the acceleration operating performance,joint driving force and palletizing trajectory are optimized through the multi-objective delaminating sequence method.According to the optimization results,the 3D model of the multi-arm palletizing robot is built in Pro/E,and the kinematic simulation is made.The simulation results show that the novel mechanism and optimization parameters are rational and feasible.This novel palletizing robot has the advantages of cam mechanism,so it simplifies the driving mode of palletizing movement and can lower the requirements for controlling system.At the same time,it can increase palletizing efficiency further by adding mechanical arms. 展开更多
关键词 palletizing robot partitioned translating cam mechanism multi-objective optimization kinematic simulation multi-ann
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System design of a dexterous lightweight robot arm with remote control
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作者 Li Tian Sun Kui Jiang Zainan Xie Zongwu Liu Hong 《High Technology Letters》 EI CAS 2012年第3期248-255,共8页
This paper presents a novel remote controlled dexterous robot arm with 6 degrees of freedom (DOF). As a highly integrated mechatronics system, sensors and their signal processing system are integrated inside each jo... This paper presents a novel remote controlled dexterous robot arm with 6 degrees of freedom (DOF). As a highly integrated mechatronics system, sensors and their signal processing system are integrated inside each joint. To lighten the weight, almost all mechanical parts are made of aluminum and the robot control system is placed outside. The modular concept is adopted during the robot design process for time and cost saving. Considering the much greater torque acted on the two shoulder joints, the joint shells are strengthened in the design to increase joint stiffness and suppress system vibration. Meanwhile, to simplify the maintenance, a new spring pins electronic connector is designed to disassemble every joint, connector and link independently without cutting any cables. The teleoperation technology enables the robot to offer more convenient service definitely for people' s daily life. Virtual reality technology is used to solve the time delay problem during teleoperation. Finally, two typical daily chore experiments are implemented to prove the manipulation ability of the dexterous robot arm. 展开更多
关键词 dexterous robot arm LIGHTWEIGHT modular joint virtual reality l multisensory ca-pability
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Fuzzy Logic Control of a Robotic Manipulator for Obstacles Avoidance 被引量:1
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作者 Nabeel Kadim Abid Al-Sahib Israa Rafie Shareef 《Journal of Mechanics Engineering and Automation》 2012年第1期9-16,共8页
This work presents a Fuzzy Logic Controller (FLC) assigned to control a robotic arm motion while avoiding the obstacles that may face the robotic arm in its movement from the initial point to the final point in an o... This work presents a Fuzzy Logic Controller (FLC) assigned to control a robotic arm motion while avoiding the obstacles that may face the robotic arm in its movement from the initial point to the final point in an optimized manner, in addition to avoid the singularity phenomenon, and without any exceeding of the physical constraints of the robot arm. A real platform (5 DOF "Degree Of Freedom" Lab Volt 5150 Robotic Arm) is used to carry this work practically, in addition to providing it by a vision sensor, where a new approach is proposed to inspect the robot work environment using a designed integrated MATLAB program having the ability to recognize the changeable locations of each of the robotic arm's end-effector, the goal, and the multi existed obstacles through a recorded film taken by a webcam, then these information will be treated using the FLC where its outputs represent the values that must be delivered to the robot to adopt them in its next steps till reaching to the goal in collision-free movements. The experimental results showed that the developed robotic ann travels successfully from Start to Goal where a high percentage of accuracy in arriving to Goal was achieved, and without colliding with any obstacle ensuring the harmonization between the theoretical part and the experimental part in achieving the best results of controlling the robotic arm's motion. 展开更多
关键词 Robotic manipulator fuzzy logic controller obstacles avoidance.
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