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Fuchun Sun - IEEE Xplore Author Profile
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Fuchun Sun

Also published under: Funchun Sun, Fu-chun Sun, F. C. Sun, FuChun Sun

Publications
338
Citations
7,787
Publications by Year
19962025
Co-Authors:
Show All Co-Authors (563)
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Fuchun Sun

Also published under: Funchun Sun, Fu-chun Sun, F. C. Sun, FuChun Sun

Affiliation

Department of Computer Science and Technology
Tsinghua University
Beijing, China

Publication Topics

Biography

Fuchun Sun (Fellow, IEEE) is currently a Full Professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. His current research interests include robotic perception and cognition.,Mr. Sun was a recipient of the National Science Fund for Distinguished Young Scholars. He serves as an Associate Editor of a series of international journals, including the IEEE Transactions on Fuzzy Systems, Mechatronics, and Robotics and Autonomous Systems.(Based on document published on 20 February 2023).
Publications
338
Citations
7,787
Publications by Year
19962025
Co-Authors:
Show All Co-Authors (563)
Author's Published Works

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Long-Horizon Language-Conditioned Imitation Learning for Robotic Manipulation

Xiangtong Yao;Tobias Blei;Yuan Meng;Yu Zhang;Hongkuan Zhou;Zhenshan Bing;Kai Huang;Fuchun Sun;Alois Knoll

IEEE/ASME Transactions on Mechatronics
Year: 2025 | Early Access Article |
Language-controlled policies enable robots to follow human language instructions and execute complex tasks. While language-conditioned imitation learning has proven effective in teaching robots to perform tasks guided by language instructions, it faces multiple challenges due to the multimodal nature of human demonstrations and limited training data. The variability in demonstrations can complicat...Show More

Long-Horizon Language-Conditioned Imitation Learning for Robotic Manipulation

Xiangtong Yao;Tobias Blei;Yuan Meng;Yu Zhang;Hongkuan Zhou;Zhenshan Bing;Kai Huang;Fuchun Sun;Alois Knoll

Year: 2025 | Early Access Article |

Equivariant Local Reference Frames with Optimization for Robust Non-rigid Point Cloud Correspondence

Ling Wang;Runfa Chen;Fuchun Sun;Xinzhou Wang;Kai Sun;Chengliang Zhong;Guangyuan Fu;Yikai Wang

IEEE Transactions on Image Processing
Year: 2025 | Early Access Article |
Unsupervised non-rigid point cloud shape correspondence underpins a multitude of 3D vision tasks, yet itself is non-trivial given the exponential complexity stemming from inter-point degree-of-freedom, i.e., pose transformations. Based on the assumption of local rigidity, one solution for reducing complexity is to decompose the overall shape into independent local regions using Local Reference Fra...Show More

Equivariant Local Reference Frames with Optimization for Robust Non-rigid Point Cloud Correspondence

Ling Wang;Runfa Chen;Fuchun Sun;Xinzhou Wang;Kai Sun;Chengliang Zhong;Guangyuan Fu;Yikai Wang

Year: 2025 | Early Access Article |

Manipulation Skill Representation and Knowledge Reasoning for 3C Assembly

Fuchun Sun;Shengyi Miao;Daming Zhong;Lianghong Wu;Huaidong Zhou;Na Wang;Zhenkun Wen;Haiming Huang

IEEE/ASME Transactions on Mechatronics
Year: 2025 | Early Access Article |
Traditional manufacturing in the computer, communication, and consumer electronics (3C) industries primarily relies on automation but lacks autonomous learning, decision-making, and adaptability. To address this challenge, this study introduces a multi-layer multi-level knowledge representation (MLMLKR) approach aimed at enhancing the adaptability and accuracy of assembly processes in 3C tasks. Th...Show More

Manipulation Skill Representation and Knowledge Reasoning for 3C Assembly

Fuchun Sun;Shengyi Miao;Daming Zhong;Lianghong Wu;Huaidong Zhou;Na Wang;Zhenkun Wen;Haiming Huang

Year: 2025 | Early Access Article |

Efficiently Kinematic-Constraint-Coupled State Estimation for Integrated Aerial Platforms in GPS-Denied Environments

Ganghua Lai;Yushu Yu;Fuchun Sun;Jing Qi;Vincezo Lippiello

IEEE Robotics and Automation Letters
Year: 2025 | Volume: 10, Issue: 3 | Journal Article |
Small-scale autonomous aerial vehicles (AAVs) are widely used in various fields. However, their underactuated design limits their ability to perform complex tasks that require physical interaction with environments. The fully-actuated Integrated Aerial Platforms (IAPs), where multiple AAVs are connected to a central platform via passive joints, offer a promising solution. However, achieving accura...Show More

Efficiently Kinematic-Constraint-Coupled State Estimation for Integrated Aerial Platforms in GPS-Denied Environments

Ganghua Lai;Yushu Yu;Fuchun Sun;Jing Qi;Vincezo Lippiello

Year: 2025 | Volume: 10, Issue: 3 | Journal Article |

Phys-Field: Physics-Enhanced Neural Surfaces for Sim(3) Estimation in Robotic Assembly Using a Single RGB Sensor

Xinzhou Wang;Fuchun Sun;Ling Wang;Kai Sun;Xudong Zhang;Xintong Wang;Bin He;Huaidong Zhou

IEEE Sensors Journal
Year: 2025 | Early Access Article |
6D pose estimation from a monocular RGB sensor is essential for robotic assembly. While deep learning approaches leverage priors from synthetic and labeled real-world data to estimate 6D poses, their generalizability is often constrained by the limited scale and realism of training datasets. Moreover, scale ambiguity is an inherent issue when image datasets are captured without calibration or dept...Show More

Phys-Field: Physics-Enhanced Neural Surfaces for Sim(3) Estimation in Robotic Assembly Using a Single RGB Sensor

Xinzhou Wang;Fuchun Sun;Ling Wang;Kai Sun;Xudong Zhang;Xintong Wang;Bin He;Huaidong Zhou

Year: 2025 | Early Access Article |

ADG-Net: A Sim2Real Multimodal Learning Framework for Adaptive Dexterous Grasping

Hui Zhang;Jianzhi Lyu;Chuangchuang Zhou;Hongzhuo Liang;Yuyang Tu;Fuchun Sun;Jianwei Zhang

IEEE Transactions on Cybernetics
Year: 2025 | Volume: 55, Issue: 2 | Journal Article |
In this article, a novel simulation-to-real (sim2real) multimodal learning framework is proposed for adaptive dexterous grasping and grasp status prediction. A two-stage approach is built upon the Isaac Gym and several proposed pluggable modules, which can effectively simulate dexterous grasps with multimodal sensing data, including RGB-D images of grasping scenarios, joint angles, 3-D tactile for...Show More

ADG-Net: A Sim2Real Multimodal Learning Framework for Adaptive Dexterous Grasping

Hui Zhang;Jianzhi Lyu;Chuangchuang Zhou;Hongzhuo Liang;Yuyang Tu;Fuchun Sun;Jianwei Zhang

Year: 2025 | Volume: 55, Issue: 2 | Journal Article |

Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation

Yu Luo;Tianying Ji;Fuchun Sun;Huaping Liu;Jianwei Zhang;Mingxuan Jing;Wenbing Huang

IEEE Transactions on Neural Networks and Learning Systems
Year: 2025 | Volume: 36, Issue: 2 | Journal Article |
Cited by: Papers (1)
Hierarchical reinforcement learning (HRL) exhibits remarkable potential in addressing large-scale and long-horizon complex tasks. However, a fundamental challenge, which arises from the inherently entangled nature of hierarchical policies, has not been understood well, consequently compromising the training stability and exploration efficiency of HRL. In this article, we propose a novel HRL algori...Show More

Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation

Yu Luo;Tianying Ji;Fuchun Sun;Huaping Liu;Jianwei Zhang;Mingxuan Jing;Wenbing Huang

Year: 2025 | Volume: 36, Issue: 2 | Journal Article |

Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation

Ruiheng Zhang;Zhe Cao;Shuo Yang;Lingyu Si;Haoyang Sun;Lixin Xu;Fuchun Sun

IEEE Transactions on Neural Networks and Learning Systems
Year: 2025 | Volume: 36, Issue: 2 | Journal Article |
Cited by: Papers (26)
The label transition matrix has emerged as a widely accepted method for mitigating label noise in machine learning. In recent years, numerous studies have centered on leveraging deep neural networks to estimate the label transition matrix for individual instances within the context of instance-dependent noise. However, these methods suffer from low search efficiency due to the large space of feasi...Show More

Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation

Ruiheng Zhang;Zhe Cao;Shuo Yang;Lingyu Si;Haoyang Sun;Lixin Xu;Fuchun Sun

Year: 2025 | Volume: 36, Issue: 2 | Journal Article |

Finite-time Adaptive Control of Flexible Hypersonic Flight Vehicle under Measurement Noise

Yingxin Shou;Tao Zhan;Bin Xu;Fuchun Sun

IEEE Transactions on Aerospace and Electronic Systems
Year: 2024 | Early Access Article |
This paper investigates a finite-time composite adaptive control strategy for hypersonic vehicles under model uncertainties and measurement noise, employing state observers. To mitigate the impact of stochastic uncertainties and measurement noise, a nonlinear observer with exponential convergence characteristics is designed to filter noise and generate state estimates. As the observer gain increas...Show More

Finite-time Adaptive Control of Flexible Hypersonic Flight Vehicle under Measurement Noise

Yingxin Shou;Tao Zhan;Bin Xu;Fuchun Sun

Year: 2024 | Early Access Article |

Soft Magnetic Skin With Motion and Contact Sensing for Anthropomorphic Robotic Finger

Xingyu Ding;Xiangbo Wang;Yaqi Zhang;Shuntian Yao;Yu Zheng;Fuchun Sun;Jianhua Shan;Bin Fang

IEEE Robotics and Automation Letters
Year: 2024 | Volume: 9, Issue: 12 | Journal Article |
Drawing inspiration from human fine tactile and proprioceptive kinaesthetic sensing pathways, we propose a soft magnetic skin (m-skin) with multimodal sensing functions integrated into the anthropomorphic robotic finger. This paper mainly explores the magnetic tactile sensor's structural design, performance analysis, and bimodal sensing. The realization recognizes the contact information and the s...Show More

Soft Magnetic Skin With Motion and Contact Sensing for Anthropomorphic Robotic Finger

Xingyu Ding;Xiangbo Wang;Yaqi Zhang;Shuntian Yao;Yu Zheng;Fuchun Sun;Jianhua Shan;Bin Fang

Year: 2024 | Volume: 9, Issue: 12 | Journal Article |

Simulation of Optical Tactile Sensors Supporting Slip and Rotation Using Path Tracing and IMPM

Zirong Shen;Yuhao Sun;Shixin Zhang;Zixi Chen;Heyi Sun;Fuchun Sun;Bin Fang

IEEE Robotics and Automation Letters
Year: 2024 | Volume: 9, Issue: 12 | Journal Article |
Optical tactile sensors are extensively utilized in intelligent robot manipulation due to their ability to acquire high-resolution tactile information at a lower cost. However, achieving adequate reality and versatility in simulating optical tactile sensors is challenging. In this letter, we propose a simulation method and validate its effectiveness through experiments. We utilize path tracing for...Show More

Simulation of Optical Tactile Sensors Supporting Slip and Rotation Using Path Tracing and IMPM

Zirong Shen;Yuhao Sun;Shixin Zhang;Zixi Chen;Heyi Sun;Fuchun Sun;Bin Fang

Year: 2024 | Volume: 9, Issue: 12 | Journal Article |

InstanceVO: Self-Supervised Semantic Visual Odometry by Using Metric Learning to Incorporate Geometrical Priors in Instance Objects

Yuanyan Xie;Junzhe Yang;Huaidong Zhou;Fuchun Sun

IEEE Robotics and Automation Letters
Year: 2024 | Volume: 9, Issue: 11 | Journal Article |
Visual odometry is one of the key technologies for unmanned ground vehicles. To improve the robustness of the systems and enable intelligent tasks, researchers introduced learning-based recognition modules into visual odometry systems, but didn't realize tight coupling between visual odometry systems and recognition modules. This letter proposes a self-supervised semantic visual odometry method, w...Show More

InstanceVO: Self-Supervised Semantic Visual Odometry by Using Metric Learning to Incorporate Geometrical Priors in Instance Objects

Yuanyan Xie;Junzhe Yang;Huaidong Zhou;Fuchun Sun

Year: 2024 | Volume: 9, Issue: 11 | Journal Article |

AvTF: A visual-tactile fingertip with active sensing and manipulation

Jie Zhao;Sicheng Wang;Jianhua Shan;Yuhao Sun;Shixin Zhang;Fuchun Sun;Bin Fang

2024 WRC Symposium on Advanced Robotics and Automation (WRC SARA)
Year: 2024 | Conference Paper |
In the interaction between dexterous hands and the environment, perception and operation are inseparable. Perception provides information and feedback for operations, and operations in turn affect the perception. Current VTS(visual-tactile sensors) lack initiative and cannot sense the state of the operated object in the world coordinate system. The AvTF(Active visual-tactile Fingertip) introduced ...Show More

AvTF: A visual-tactile fingertip with active sensing and manipulation

Jie Zhao;Sicheng Wang;Jianhua Shan;Yuhao Sun;Shixin Zhang;Fuchun Sun;Bin Fang

Year: 2024 | Conference Paper |

Small Scale Data-Free Knowledge Distillation

He Liu;Yikai Wang;Huaping Liu;Fuchun Sun;Anbang Yao

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Data-free knowledge distillation is able to utilize the knowledge learned by a large teacher network to augment the training of a smaller student network without accessing the original training data, avoiding privacy, security, and proprietary risks in real applications. In this line of research, existing methods typically follow an inversion-and-distillation paradigm in which a generative adversa...Show More

Small Scale Data-Free Knowledge Distillation

He Liu;Yikai Wang;Huaping Liu;Fuchun Sun;Anbang Yao

Year: 2024 | Conference Paper |

Development of a Miniature Photometric Vision-Based Tactile Sensor

Yuan Gao;Shixin Zhang;Weiwei Wan;Bin Fang;Fuchun Sun;Kensuke Harada

IEEE Sensors Journal
Year: 2024 | Volume: 24, Issue: 20 | Journal Article |
This study presents the design of a miniature vision-based tactile sensor (VTS) for compact integration with robotic grippers. VTSs have become a significant research area in the past decade known for their high-resolution capabilities. However, a common challenge faced by the VTS is their large size, which significantly limits the application scenarios. To solve this problem, in this article, we ...Show More

Development of a Miniature Photometric Vision-Based Tactile Sensor

Yuan Gao;Shixin Zhang;Weiwei Wan;Bin Fang;Fuchun Sun;Kensuke Harada

Year: 2024 | Volume: 24, Issue: 20 | Journal Article |

Manifold Constraint Regularization for Remote Sensing Image Generation

Xingzhe Su;Changwen Zheng;Wenwen Qiang;Fengge Wu;Junsuo Zhao;Fuchun Sun;Hui Xiong

IEEE Transactions on Geoscience and Remote Sensing
Year: 2024 | Volume: 62 | Journal Article |
Generative adversarial networks (GANs) have shown notable accomplishments in remote sensing (RS) domain. However, this article reveals that their performance on RS images falls short when compared to their impressive results with natural images. This study identifies a previously overlooked issue: GANs exhibit a heightened susceptibility to overfitting on RS images. To address this challenge, this...Show More

Manifold Constraint Regularization for Remote Sensing Image Generation

Xingzhe Su;Changwen Zheng;Wenwen Qiang;Fengge Wu;Junsuo Zhao;Fuchun Sun;Hui Xiong

Year: 2024 | Volume: 62 | Journal Article |

Modeling and Control of PADUAV: a Passively Articulated Dual UAVs Platform for Aerial Manipulation*

Jiali Sun;Kaidi Wang;Chuanbeibei Shi;Xiujia Li;Xiaojian Yi;Yushu Yu;Fuchun Sun;Yiqun Dong

2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
In this paper, we introduce PADUAV, a novel 5-DOF aerial platform designed to overcome the limitations of traditional tiltrotor vehicles. PADUAV features a unique mechanical design that incorporates two off-the-shelf quadrotors passively articulated to a rigid frame. This innovation enables free pitch rotation without mechanical constraints like cable winding, significantly enhancing its capabilit...Show More

Modeling and Control of PADUAV: a Passively Articulated Dual UAVs Platform for Aerial Manipulation*

Jiali Sun;Kaidi Wang;Chuanbeibei Shi;Xiujia Li;Xiaojian Yi;Yushu Yu;Fuchun Sun;Yiqun Dong

Year: 2024 | Conference Paper |

Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection

Yingjun Fan;Chuanbeibei Shi;Ganghua Lai;Ruiheng Zhang;Yushu Yu;Fuchun Sun;Yiqun Dong

2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Integrated aerial Platforms (IAPs), comprising multiple aircrafts, are typically fully actuated and hold significant potential for aerial manipulation tasks. Differing from a multiple aerial swarm, the aircrafts within the IAP are interconnected, presenting promising opportunities for enhancing localization. Incorporating the physical constraints of these multiple aircrafts to improve the accuracy...Show More

Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection

Yingjun Fan;Chuanbeibei Shi;Ganghua Lai;Ruiheng Zhang;Yushu Yu;Fuchun Sun;Yiqun Dong

Year: 2024 | Conference Paper |

Smooth Computation without Input Delay: Robust Tube-Based Model Predictive Control for Robot Manipulator Planning

Yu Luo;Qie Sima;Tianying Ji;Fuchun Sun;Huaping Liu;Jianwei Zhang

2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
Model Predictive Control (MPC) has exhibited remarkable capabilities in optimizing objectives and meeting constraints. However, the substantial computational burden associated with solving the Optimal Control Problem (OCP) at each triggering instant introduces significant delays between state sampling and control application. These delays limit the practicality of MPC in resource-constrained syste...Show More

Smooth Computation without Input Delay: Robust Tube-Based Model Predictive Control for Robot Manipulator Planning

Yu Luo;Qie Sima;Tianying Ji;Fuchun Sun;Huaping Liu;Jianwei Zhang

Year: 2024 | Conference Paper |

Hybrid Robot for Percutaneous Needle Intervention Procedures: Mechanism Design and Experiment Verification

Hanyi Zhang;Guocai Yao;Feifan Zhang;Fanchuan Lin;Fuchun Sun

2024 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2024 | Conference Paper |
This paper presents a 6-DOF hybrid robot for percutaneous needle intervention procedures. The new robot combines the advantages of both serial robots and parallel robots, featuring compactness, high accuracy, and small footprint while overcoming the problems of the high cost of serial robots and the small workspace and singularity issue of parallel robots. Besides, by analyzing the workspace of th...Show More

Hybrid Robot for Percutaneous Needle Intervention Procedures: Mechanism Design and Experiment Verification

Hanyi Zhang;Guocai Yao;Feifan Zhang;Fanchuan Lin;Fuchun Sun

Year: 2024 | Conference Paper |

Improved Dual Correlation Reduction Network With Affinity Recovery

Yue Liu;Sihang Zhou;Xihong Yang;Xinwang Liu;Wenxuan Tu;Liang Li;Xin Xu;Fuchun Sun

IEEE Transactions on Neural Networks and Learning Systems
Year: 2024 | Early Access Article |
Deep graph clustering, which aims to reveal the underlying graph structure and divide the nodes into different clusters without human annotations, is a fundamental yet challenging task. However, we observe that the existing methods suffer from the representation collapse problem and tend to encode samples with different classes into the same latent embedding. Consequently, the discriminative capab...Show More

Improved Dual Correlation Reduction Network With Affinity Recovery

Yue Liu;Sihang Zhou;Xihong Yang;Xinwang Liu;Wenxuan Tu;Liang Li;Xin Xu;Fuchun Sun

Year: 2024 | Early Access Article |

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal

Ke Liang;Lingyuan Meng;Meng Liu;Yue Liu;Wenxuan Tu;Siwei Wang;Sihang Zhou;Xinwang Liu;Fuchun Sun;Kunlun He

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2024 | Volume: 46, Issue: 12 | Journal Article |
Cited by: Papers (19)
Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research direction. It has been proven to significantly benefit the usage of KGs in many AI applications, such as question answering, recommendation systems, and etc. According to the graph types, existing KGR models can be roughly ...Show More

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal

Ke Liang;Lingyuan Meng;Meng Liu;Yue Liu;Wenxuan Tu;Siwei Wang;Sihang Zhou;Xinwang Liu;Fuchun Sun;Kunlun He

Year: 2024 | Volume: 46, Issue: 12 | Journal Article |

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors From the Signal Processing Perspective

Shoujie Li;Zihan Wang;Changsheng Wu;Xiang Li;Shan Luo;Bin Fang;Fuchun Sun;Xiao-Ping Zhang;Wenbo Ding

IEEE Journal of Selected Topics in Signal Processing
Year: 2024 | Volume: 18, Issue: 3 | Journal Article |
Cited by: Papers (4)
Tactile sensors, which provide information about the physical properties of objects, are an essential component of robotic systems. The visuotactile sensing technology with the merits of high resolution and low cost has facilitated the development of robotics from environment exploration to dexterous operation. Over the years, several reviews on visuotactile sensors for robots have been presented,...Show More

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors From the Signal Processing Perspective

Shoujie Li;Zihan Wang;Changsheng Wu;Xiang Li;Shan Luo;Bin Fang;Fuchun Sun;Xiao-Ping Zhang;Wenbo Ding

Year: 2024 | Volume: 18, Issue: 3 | Journal Article |

Accurate Flexible Printed Circuit (FPC) Position Identification Using Haptic Information in Industrial Robotic Mobile Phone Assembly

Minghao Yang;Yongjia Zhao;Jiaxin Li;Wei Tang;Hang Pan;Jinlong Chen;Fuchun Sun

IEEE Transactions on Industrial Electronics
Year: 2024 | Volume: 71, Issue: 12 | Journal Article |
In the industrial assembly of flexible printed circuits (FPCs), the FPC connectors and receivers are required to connect successfully with the least possible buckling times. However, precise and autonomous positioning of the FPC connectors is still a great challenge, as they are very small and visually blocked during assembly. This article proposes a strategy for the industrial assembly of FPC by:...Show More

Accurate Flexible Printed Circuit (FPC) Position Identification Using Haptic Information in Industrial Robotic Mobile Phone Assembly

Minghao Yang;Yongjia Zhao;Jiaxin Li;Wei Tang;Hang Pan;Jinlong Chen;Fuchun Sun

Year: 2024 | Volume: 71, Issue: 12 | Journal Article |

Dynamic Modeling of Robotic Manipulator via an Augmented Deep Lagrangian Network

Shuangshuang Wu;Zhiming Li;Wenbai Chen;Fuchun Sun

Tsinghua Science and Technology
Year: 2024 | Volume: 29, Issue: 5 | Journal Article |
Cited by: Papers (1)
Learning the accurate dynamics of robotic systems directly from the trajectory data is currently a prominent research focus. Recent physics-enforced networks, exemplified by Hamiltonian neural networks and Lagrangian neural networks, demonstrate proficiency in modeling ideal physical systems, but face limitations when applied to systems with uncertain non-conservative dynamics due to the inherent ...Show More

Dynamic Modeling of Robotic Manipulator via an Augmented Deep Lagrangian Network

Shuangshuang Wu;Zhiming Li;Wenbai Chen;Fuchun Sun

Year: 2024 | Volume: 29, Issue: 5 | Journal Article |

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