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浏览/检索结果: 共340条，第1-10条

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	Neural Dynamics for Cooperative Motion Control of Omnidirectional Mobile Manipulators in the Presence of Noises: A Distributed Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1605-1620 作者: Yufeng Lian; Xingtian Xiao; Jiliang Zhang; Long Jin; Junzhi Yu 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/06/07 Cooperative motion control noise-tolerant zeroing neural network (NTZNN) omnidirectional mobile manipulator (OMM) repetitive motion planning
	Four-Criterion-Optimization-Based Coordination Motion Control of Dual-Arm Robots 期刊论文 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 794-807 作者: Tong, Yuchuang; Liu, Jinguo; Zhang, Xin; Ju, Zhaojie 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/11/22 Coordination motion control dual-arm robot motion planning recurrent neural network (RNN) redundant manipulator
	基于视觉的服务机器人智能抓取研究学位论文 2023 作者: 耿文杰收藏 \| 浏览/下载：13/0 \| 提交时间：2023/06/20 Service robot, Instance segmentation network, Elliptical cone potential field, Grasping task planning, Grasp detection network.
	Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831 作者: Lu, Jingwei; Han, Liyuan; Wei, Qinglai; Wang, Xiao; Dai, Xingyuan 收藏 \| 浏览/下载：3/0 \| 提交时间：2023/11/17 Autonomous vehicles Decision making Path planning Training Optimal control Deep learning Complex systems Autonomous driving deep reinforcement learning deep Q-network event-triggered control parallel control
	Generative Adversarial Network Based Heuristics for Sampling-Based Path Planning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 64-74 作者: Tianyi Zhang; Jiankun Wang; Max Q.-H. Meng 收藏 \| 浏览/下载：133/0 \| 提交时间：2021/11/03 Generative adversarial network (GAN) optimal path planning robot path planning sampling-based path planning
	Four-Criterion-Optimization Based Coordination Motion Control of Dual-arm Robots 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2022, 页码: Early Access 作者: Yuchuang Tong; Jinguo Liu; Xin Zhang; Zhaojie Ju 收藏 \| 浏览/下载：43/0 \| 提交时间：2022/09/20 Coordination motion control Motion planning Dual-arm robot Recurrent neural network (RNN) Redundant manipulator
	Novel power-exponent-type modified RNN for RMP scheme of redundant manipulators with noise and physical constraints 期刊论文 Neurocomputing, 2022, 卷号: 467, 页码: 266-281 作者: Tong YC(佟玉闯); Liu JG(刘金国) 收藏 \| 浏览/下载：31/0 \| 提交时间：2021/10/30 Redundant manipulator Repetitive motion planning Recurrent neural network Noise Physical constraint
	Application of Circular Economy and Uncertainty Planning in Analyzing the Sustainable Closed-Loop Supply Chain Network Design 期刊论文 Mathematical Problems in Engineering, 2022, 卷号: 2022 作者: Zhang, Yuchun; Wang, Yanan; Yadav, Bharosh Kumar 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/04/21 Sensitivity analysis Supply chain management Uncertainty analysis Circular economy Closed-loop networks Closed-loop supply chain network designs Closed-loop supply chain networks Customer demands Effective approaches Materials and products Supply chain network design Uncertainty Uncertainty planning
	Real-time path planning and following of a gliding robotic dolphin within a hierarchical framework 期刊论文 IEEE Transactions on Vehicular Technology, 2021, 卷号: 70, 期号: 4, 页码: 3243-3255 作者: Wang Jian(王健); Wu Zhengxing; Yan Shuaizheng; Tan Min; Yu Junzhi 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/06/04 Adaptive backstepping hierarchical deep q-network path following path planning underwater robot
	Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 5005-5013 作者: Chai, Runqi; Tsourdos, Antonios; Savvaris, Al; Chai, Senchun; Xia, Yuanqing 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/01/06 Attitude control Real-time systems Trajectory optimization Trajectory planning Attitude control bilevel structure deep neural network (DNN) six-degree-of-freedom (6-DOF) hypersonic vehicle (HV) trajectory planning

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