Clinical Application of a Neurosurgical Robot in Intracranial Ommaya Reservoir Implantation [0.03%]
神经外科机器人辅助脑室内Ommaya储液囊植入术的临床应用研究
Huan-Guang Liu,De-Feng Liu,Kai Zhang et al.
Huan-Guang Liu et al.
Background: The Ommaya reservoir implantation technique allows for bypass of the blood-brain barrier. It can be continuously administered locally and be used to repeatedly flush the intracranial cavity to achieve the purpose of treatment. A...
Editorial: Advances in Robots Trajectories Learning via Fast Neural Networks [0.03%]
评论：基于快速神经网络的机器人轨迹学习研究进展
Jose de Jesus Rubio,Yongping Pan,Jeff Pieper et al.
Jose de Jesus Rubio et al.
The Analysis of Trajectory Control of Non-holonomic Mobile Robots Based on Internet of Things Target Image Enhancement Technology and Backpropagation Neural Network [0.03%]
基于物联网目标图像增强技术和反向传播神经网络的非完整移动机器人轨迹控制分析
Lanfei Zhao,Ganlin Wang,Xiaosong Fan et al.
Lanfei Zhao et al.
The trajectory tracking and control of incomplete mobile robots are explored to improve the accuracy of the trajectory tracking of the robot controller. First, the mathematical kinematics model of the non-holonomic mobile robot is studied. ...
Savva Pronin,Liam Wellacott,Jhielson Pimentel et al.
Savva Pronin et al.
Modeling is widely used in biomedical research to gain insights into pathophysiology and treatment of neurological disorders but existing models, such as animal models and computational models, are limited in generalizability to humans and ...
A Socially Assistive Robot for Long-Term Cardiac Rehabilitation in the Real World [0.03%]
一种面向长期心血管疾病康复的社交助手机器人
Nathalia Céspedes,Bahar Irfan,Emmanuel Senft et al.
Nathalia Céspedes et al.
What are the benefits of using a socially assistive robot for long-term cardiac rehabilitation? To answer this question we designed and conducted a real-world long-term study, in collaboration with medical specialists, at the Fundación Car...
Robot Communication: Network Traffic Classification Based on Deep Neural Network [0.03%]
基于深度神经网络的机器人通信：基于深度神经网络的网络流量分类
Mengmeng Ge,Xiangzhan Yu,Likun Liu
Mengmeng Ge
With the rapid popularization of robots, the risks brought by robot communication have also attracted the attention of researchers. Because current traffic classification methods based on plaintext cannot classify encrypted traffic, other m...
Motor Training Using Mental Workload (MWL) With an Assistive Soft Exoskeleton System: A Functional Near-Infrared Spectroscopy (fNIRS) Study for Brain-Machine Interface (BMI) [0.03%]
基于脑机接口的助力外骨骼系统中的大脑负荷介导的运动训练：近红外成像研究
Umer Asgher,Muhammad Jawad Khan,Muhammad Hamza Asif Nizami et al.
Umer Asgher et al.
Mental workload is a neuroergonomic human factor, which is widely used in planning a system's safety and areas like brain-machine interface (BMI), neurofeedback, and assistive technologies. Robotic prosthetics methodologies are employed for...
A Relational Adaptive Neural Model for Joint Entity and Relation Extraction [0.03%]
一种用于联合实体和关系抽取的适应性神经模型
Guiduo Duan,Jiayu Miao,Tianxi Huang et al.
Guiduo Duan et al.
Relation extraction is a popular subtask in natural language processing (NLP). In the task of entity relation joint extraction, overlapping entities and multi-type relation extraction in overlapping triplets remain a challenging problem. Th...
Intelligent Badminton Training Robot in Athlete Injury Prevention Under Machine Learning [0.03%]
基于机器学习的智能羽毛球训练机器人在运动员损伤预防中的应用研究
Jun Xie,Guohua Chen,Shuang Liu
Jun Xie
This study was developed to explore the role of the intelligent badminton training robot (IBTR) to prevent badminton player injuries based on the machine learning algorithm. An IBTR is designed from the perspectives of hardware and software...
Modeling and Simulation of a Human Knee Exoskeleton's Assistive Strategies and Interaction [0.03%]
人膝部外骨骼辅助策略及相互作用的建模与仿真
Longbin Zhang,Yixing Liu,Ruoli Wang et al.
Longbin Zhang et al.
Exoskeletons are increasingly used in rehabilitation and daily life in patients with motor disorders after neurological injuries. In this paper, a realistic human knee exoskeleton model based on a physical system was generated, a human-mach...