Article
Environmental Sciences
Wenju Mao, Heng Liu, Wei Hao, Fuzeng Yang, Zhijie Liu
Summary: Our research focuses on the development of an autonomous robotic navigation system for orchard harvesting. The system uses a dual master-slave mode with a navigation tractor orchard transport robot as the master and a navigation orchard picking robot as the slave. By utilizing a global positioning system (GNSS) and various algorithms, the system is able to switch navigation modes and track waypoints effectively. Experimental results show that the system meets the communication requirements in the orchard and can achieve repeated stops and joint harvesting.
Review
Chemistry, Multidisciplinary
Jinbo Pang, Songang Peng, Chongyang Hou, Hongbin Zhao, Yingju Fan, Chen Ye, Nuo Zhang, Ting Wang, Yu Cao, Weijia Zhou, Ding Sun, Kai Wang, Mark H. Rummeli, Hong Liu, Gianaurelio Cuniberti
Summary: Graphene remains of great interest in biomedical applications due to its biocompatibility. This review provides an update on the recent progress in graphene-based sensors for mimicking human senses, including artificial retina for image sensors, artificial eardrums, gas sensors, chemical sensors, and tactile sensors. It also discusses brain-like processors based on conventional transistors and memristor-related neuro-morphic computing, as well as the introduction of brain-machine interface. Additionally, the article summarizes the use of graphene-based artificial muscles as actuators to interact with the physical world. Future opportunities for improving human-like sensors and their clinical applications are highlighted.
Article
Chemistry, Multidisciplinary
Yifei Pei, Zhiqiang Li, Bin Li, Ying Zhao, Hui He, Lei Yan, Xiaoyu Li, Jingjuan Wang, Zhen Zhao, Yong Sun, Zhenyu Zhou, Jianhui Zhao, Rui Guo, Jingsheng Chen, Xiaobing Yan
Summary: More than 80% of biological learning information is received through the visual system, making artificial vision systems a subject of continuous interest in the field of artificial intelligence. The authors have developed a high-speed multifunctional artificial vision system capable of simulating various activities of human vision systems and performing functions such as recognition, memory, and self-protection.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Review
Chemistry, Multidisciplinary
Cheng Zhang, Mohan Chen, Yelong Pan, Yang Li, Kuaibing Wang, Junwei Yuan, Yanqiu Sun, Qichun Zhang
Summary: This review summarizes the recent advances and applications of carbon dot-based memristors in artificial synapses, neuromorphic computing, and human sensory perception systems. It introduces the synthetic methods and discusses the structure-property relationship and resistive switching mechanism of carbon dot-based memristors. The challenges and prospects of memristor-based artificial synapses and neuromorphic computing are presented, and promising application scenarios of carbon dot-based memristors are outlined.
Article
Automation & Control Systems
Jia Guo, Dongyu Li, Bo He, Shuzhi Sam Ge
Summary: In this article, an intelligent collaborative system for robotic navigation and control (CNaC) governed by the Euler-Lagrange equation is proposed. A state reconstruction based on neural networks navigation (SR-NNN) law is designed to estimate the current position of the robot for intelligent CNaC. The system has been demonstrated by simulation tracking sample and real experiments, which verifies its effectiveness.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Multidisciplinary
Andrea Biscarini
Summary: This passage discusses the processing of physiological parameters and their derivatives by the sensorimotor system, showcasing the use of U-expansion for fast prediction strategies. By employing this expansion method, it may offer an analytical background for the development of algorithms designed for the fast and accurate feedback control of nonlinear systems.
Article
Computer Science, Information Systems
Isanka Diddeniya, Indika Wanniarachchi, Hansi Gunasinghe, Chinthaka Premachandra, Hiroharu Kawanaka
Summary: This paper presents a service robot navigation system based on the MQTT protocol, which allows real-time updates of robot states for multiple users. The system includes a navigable structure, a mobile app, and a central control workstation, enabling wireless communication between these components. The mobile app uses voice commands for user interaction, which are processed by the workstation to assign actions to the robot. The robot can navigate and localize itself in the room using real-time maps, and it is equipped with a digital camera for identifying people in certain locations. The system provides MQTT updates to multiple users, allowing them to be notified of the robot's status in real-time. With an average accuracy of 96%, the system successfully navigates to instructed destinations and identifies target persons. Its usefulness for contactless delivery in isolated indoor environments with social distancing restrictions is particularly noteworthy.
Article
Plant Sciences
Saike Jiang, Shilin Wang, Zhongyi Yi, Meina Zhang, Xiaolan Lv
Summary: The precise positioning and navigation of mobile robots in a greenhouse environment is a complex problem. In this study, a method based on a 2D Lidar SLAM algorithm and Cartographer is proposed, which filters 3D environmental information into 2D information for accurate positioning and navigation of the robot in the greenhouse.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Automation & Control Systems
Wenzhou Chen, Jinhong Xu, Xiangrui Zhao, Yong Liu, Jian Yang
Summary: This article proposes a novel indoor localization system based on separated sonar sensors, using separated sonar receivers and transmitters for real-time distance measurements, achieving high precision positioning of a mobile robot in indoor environments using infrared synchronization.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Chemistry, Multidisciplinary
Liang Zhang, Xinghui Zhu, Jingjing Huang, Jinqi Huang, Jingxin Xie, Xu Xiao, Gang Yin, Xiayu Wang, Ming Li, Kui Fang
Summary: An integrated navigation system was developed to improve the accuracy and reliability of orchard spraying robots. Utilizing an error Kalman filter algorithm and a path-tracking control algorithm, the system successfully corrected the inertial measurement unit error and enabled the robot to smoothly track the pre-set path. Field experiments demonstrated the effectiveness of the proposed auto-navigation system.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Seyeong Im, Sungjun Kim, Joongho Yun, Jaekwang Nam
Summary: This paper proposes a novel compact magnetic navigation system, C-Mag, that consists of two electromagnets and a robotic arm for manipulating a magnetic capsule in a large 3-dimensional space. The C-Mag was optimized to generate a maximum magnetic field of 18.65 mT and successfully demonstrated effective manipulation of the magnetic capsule. This study is expected to contribute to the further development of magnetic navigation systems for the treatment of gastrointestinal problems.
Article
Environmental Sciences
Jiahao Fang, Yongliang Shi, Jianhua Cao, Yao Sun, Weimin Zhang
Summary: This paper proposes an active navigation system guided by trunk detection for a rubber-tapping robot. The pose tracking method shows better performance in accuracy and robustness compared to existing methods, and the trunk detection method achieves a precision of 93% and a recall of 87%. The proposed method can guide the rubber-tapping robot in complex forest environments and improve efficiency.
Article
Agronomy
Tengxiang Yang, Chengqian Jin, Youliang Ni, Zhen Liu, Man Chen
Summary: In response to the demand for unmanned operation in the field management process of unmanned farms, an unmanned plant protection robot was developed. This robot integrates unmanned driving technology, image recognition technology, intelligent control technology, and precision operation technology. The crop-weed recognition model developed achieved high accuracy and recall rates after 6000 rounds of training. Field experiments showed that the robot had low errors and significant herbicide savings.
Article
Automation & Control Systems
Xinqiang Pan, Jiejun Wang, Zhen Deng, Yao Shuai, Wenbo Luo, Wen Luo, Qin Xie, Yao Xiao, Song Tang, Shuwen Jiang, Chuangui Wu, Feng Zhu, Jianwei Zhang, Wanli Zhang
Summary: Sensory adaptation plays a critical role in human-environment interaction, and sensory adaptation on robots can be achieved through the use of memristor-based artificial synapses and a general excitation method for multimodal sensor signals.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Agriculture, Multidisciplinary
Yuyuan Tian, Zhenpeng Mai, Zhiwei Zeng, Yinghu Cai, Jinpeng Yang, Bo Zhao, Xuhua Zhu, Long Qi
Summary: This study proposes a map-based navigation system for a paddy field scouting robot, which corrects navigation errors caused by uneven ground and random inclination using integrated IMU and GNSS with Kalman filtering technique. Simulations and tests show that the integrated navigation system significantly reduces lateral position offset and bearing angle variation, with acceptable navigation accuracy in field validation tests.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Physics, Condensed Matter
Yunxia Hao, Ying Zhang, Zuheng Wu, Xumeng Zhang, Tuo Shi, Yongzhou Wang, Jiaxue Zhu, Rui Wang, Yan Wang, Qi Liu
Summary: This research introduces an insert TaOx layer into HfOx-based RRAM to optimize the device performance. The results show that inserting the TaOx layer significantly improves the performance parameters such as resistance window, switching speed, retention time, endurance, and uniformity of the device.
JOURNAL OF SEMICONDUCTORS
(2022)
Article
Engineering, Electrical & Electronic
Yuehua Dai, Zhe Feng, Zuheng Wu
Summary: The memristor, a nanoscale device with simple structure and excellent scalability, has been widely studied for various applications. Hewlett-Packard's memristor model, known for its simplicity and computational efficiency, is commonly used for simulation works. In this study, a novel window function is introduced into the memristor model, allowing for controlled resistance evolution speed and range. The results show that the memristor model based on this window function exhibits high flexibility and is particularly efficient for spiking neural network simulations.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Article
Physics, Applied
Xing Li, Zhe Feng, Jianxun Zou, Xu Wang, Guyue Hu, Feifei Wang, Cheng Ding, Yunlai Zhu, Fei Yang, Zuheng Wu, Yuehua Dai
Summary: In this article, the authors analyzed experimental data from TaOx memristors and found that the threshold switching characteristics of the memristors are temperature-dependent and can be described using the space charge limiting current conduction mechanism. They used this mechanism to establish a physical model and built an LTspice model based on it. The model data fitted well with the experimental data. The authors then used the threshold switching memristor to simulate a leaky integrate-and-fire neuron circuit and achieved the basic dynamics. By adjusting the external temperature of the memristor, they observed a more intense output frequency in the neuron. Finally, they built an artificial spiking neural network for MNIST recognition based on this neuron circuit, which showed improved recognition accuracy through neuromorphic multimodal preprocessing using both voltage amplitude and temperature. These findings demonstrate the reliability of the model and enhance the potential applications of TaOx-based threshold switching memristors.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Engineering, Electrical & Electronic
Yuehua Dai, Jianxun Zou, Zhe Feng, Xing Li, Xu Wang, Guyue Hu, Yunlai Zhu, Zuheng Wu
Summary: In this study, a compact model of the diffusive memristor is proposed based on the transition of electronic transmission mechanisms induced by the dynamics of the filament. The model is versatile and can be adjusted to achieve desired electrical properties.
SEMICONDUCTOR SCIENCE AND TECHNOLOGY
(2022)
Correction
Physics, Applied
Xing Li, Zhe Feng, Jianxun Zou, Xu Wang, Guyue Hu, Feifei Wang, Cheng Ding, Yunlai Zhu, Fei Yang, Zuheng Wu, Yuehua Dai
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Neurosciences
Lingli Cheng, Lili Gao, Xumeng Zhang, Zuheng Wu, Jiaxue Zhu, Zhaoan Yu, Yue Yang, Yanting Ding, Chao Li, Fangduo Zhu, Guangjian Wu, Keji Zhou, Ming Wang, Tuo Shi, Qi Liu
Summary: This study presents an artificial cochlea based on the shallen-key filter model configured with memristors. It demonstrates the frequency-selection function of multiple channels and shows the feasibility of using it for speech signal feature extraction and speech recognition. The system achieves high recognition accuracy and has the potential for use in neuromorphic robots.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Jie Qiu, Jie Cao, Xusheng Liu, Pei Chen, Guan Feng, Xumeng Zhang, Ming Wang, Qi Liu
Summary: Researchers have developed a flexible organic electrochemical transistor-based synaptic device that can directly respond to biological neurotransmitters, exhibiting both short-term and long-term synaptic behaviors. The device shows reliable synaptic response and excellent mechanical flexibility under both flat and bending conditions, providing a promising approach for direct integration with soft biological tissues.
IEEE ELECTRON DEVICE LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Guangjian Wu, Zefeng Zhang, Kun Ba, Xumeng Zhang, Jinhua Zeng, Chongyang Bai, Qi Liu, Jianlu Wang
Summary: The researchers report a hybrid MoS2/PbS quantum dots-based optoelectronic device with short-term memory properties for in-sensor reservoir computing (RC). They demonstrate that the device can effectively regulate the dynamic temporal photoresponse behavior through the photogating effect induced by incident optical intensity and time. The device shows high accuracy in image classifying and time series prediction, indicating its potential for intelligent edge computing.
IEEE ELECTRON DEVICE LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Zuheng Wu, Changwei Zhang, Jianxun Zou, Chunyu Peng, Xiulong Wu
Summary: Voltage regulative circuits, based on threshold switching (TS) memristor, provide reliable voltage regulation effect for different input signals and can achieve modulable stable output level.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Information Systems
Weishuang Liang, Qi Liu, Yebing Gan
Summary: This paper proposes a fractional frequency division phase-locked loop based on phase interpolation and implements it using the TSMC 0.11μm CMOS process. A digital time converter (DTC) module is added to reduce the fractional spurious by phase interpolation. The DTC module is calibration-free, and the error introduced by it is only related to the DAC adopted in the DTC. The proposed FNPLL achieves low power consumption, high accuracy, and low phase noise in both fractional and integer division modes.
Article
Physics, Multidisciplinary
Xing Li, Zhe Feng, Xiuquan Fang, Zuheng Wu, Yunlai Zhu, Zuyu Xu, Yuehua Dai
Summary: Lung cancer screening is crucial for diagnosis and treatment. CT scanning technology shows promise for lung cancer screening, but redundant information limits efficiency and accuracy. We designed a memristor model with habituation characteristics and incorporated it into a neural system, demonstrating reliable habituation behavior. Using this system for lung cancer screening improves performance and accuracy compared to a system without habituation behavior. This work provides a new approach for lung cancer screening implementation.
Article
Materials Science, Multidisciplinary
Shuai Yuan, Zhe Feng, Bocang Qiu, Ying Li, Peichen Zhai, Lan Li, Zuheng Wu, Shufang Ma, Bingshe Xu, Liping Ding, Guodong Wei, Guozhen Shen
Summary: In this study, silicon carbide (SiC) nanowire-based optoelectronic memristors are developed, which can achieve complex brain-like features and integrate visual function, perception, storage, and in situ computing. The constructed spike neural network using SiC NW visual synapses can accurately identify early lung cancer lesions with a detection accuracy rate exceeding 90%. This research provides a promising path for developing SiC-based integrating perception-storage-computation artificial intelligence devices for neuromorphic computing technology.
SCIENCE CHINA-MATERIALS
(2023)
Article
Chemistry, Physical
Yunlai Zhu, Zihan Qu, Xiaoteng Wang, Jishun Zhang, Zuheng Wu, Zuyu Xu, Fei Yang, Jun Wang, Yuehua Dai
Summary: In this work, the structural and electronic properties of 2D VS2/Ga2O3 vdW heterostructures under different polarizations were studied using first-principles calculations with the vdW correction of the DFT-D2 method. The results showed that the polarized direction of a 2D Ga2O3 monolayer can cause a distinct band structure reversion from a metal to a semiconductor due to the shift of band alignment induced by the interlayer charge transfer. Moreover, the VS2/P ↑ Ga2O3 heterostructures retained type-I and type-II band alignments in the majority and minority channel, respectively, under an external electric field. Interestingly, applying the external electric field for VS2/P ↓ Ga2O3 heterostructures led to a transition from type-II to type-I in the majority channel, and from type-II to type-III in the minority channel.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Chemistry, Physical
Yuehua Dai, Xiaoteng Wang, Xiuquan Fang, Zihan Qu, Jishun Zhang, Zuheng Wu, Zuyu Xu, Fei Yang, Yunlai Zhu
Summary: Ferroelectricity in low-dimensional delta-SiX (X = S and Se) materials has been predicted using first-principles method. It is found that 2D-SiS, 2D-SiSe, 1D-SiS, and 1D-SiSe exhibit intrinsic ferroelectricity with different spontaneous polarization values. Monte Carlo simulations and ab initio molecular dynamics (AIMD) simulations demonstrate room-temperature ferroelectricity in 2D-SiX and 1D-SiX. The polarization and ferroelectric switching energy barrier can be tuned by applying strain, and spontaneous spin polarization can be achieved by hole doping in 1D nanowires.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Automation & Control Systems
Yuehua Dai, Wenbin Guo, Zhe Feng, Zuyu Xu, Yunlai Zhu, Fei Yang, Zuheng Wu
Summary: A memristor-based RL system achieves efficient autonomous decision-making and edge computing. The Sarsa(?) algorithm is implemented using the topological structure of the memristor array, without complex circuits, and the critical weight decay function is realized by a TiOx-based memristor. This hardware-enabled scheme reduces energy consumption and accelerates convergence speed.
ADVANCED INTELLIGENT SYSTEMS
(2023)
