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arXiv 2025年

作者： Hu, Songqiao Liu, Zeyi He, Xiao Shen, Zhen Department of Automation Tsinghua University Beijing100084 China State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences China

control barrier functions (CBFs) play a crucial role in achieving the safety-critical control of robotic systems theoretically. However, most existing methods rely on the analytical expressions of unsafe state regions, which is often impractical for irregular and dynamic unsafe regions. In this paper, a novel CBF construction approach, called CoIn-SafeLink, is proposed based on cost-sensitive incremental random vector functional-link (RVFL) neural networks. By designing an appropriate cost function, CoIn-SafeLink achieves differentiated sensitivities to safe and unsafe samples, effectively achieving zero false-negative risk in unsafe sample classification. Additionally, an incremental update theorem for CoIn-SafeLink is proposed, enabling precise adjustments in response to changes in the unsafe region. Finally, the gradient analytical expression of the CoIn-SafeLink is provided to calculate the control input. The proposed method is validated on a 3-degree-of-freedom drone attitude control system. Experimental results demonstrate that the method can effectively learn the unsafe region boundaries and rapidly adapt as these regions evolve, with an update speed approximately five times faster than comparison methods. The source code is available at https://***/songqiaohu/CoIn-SafeLink. Copyright © 2025, The Authors. All rights reserved.

关键词： Aircraft control

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A novel robotic visual perception framework for underwater operation

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Frontiers of Information technology & Electronic engineering 2022年第11期23卷 1602-1619页

作者： Yue LU Xingyu CHEN Zhengxing WU Junzhi YU Li WEN State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Ytech Kuaishou TechnologyBeijing 100085China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China

Underwater robotic operation usually requires visual perception(e.g.,object detection and tracking),but underwater scenes have poor visual quality and represent a special domain which can affect the accuracy of visual *** addition,detection continuity and stability are important for robotic perception,but the commonly used static accuracy based evaluation(i.e.,average precision)is insufficient to reflect detector performance across *** response to these two problems,we present a design for a novel robotic visual perception ***,we generally investigate the relationship between a quality-diverse data domain and visual restoration in detection *** a result,although domain quality has an ignorable effect on within-domain detection accuracy,visual restoration is beneficial to detection in real sea scenarios by reducing the domain ***,non-reference assessments are proposed for detection continuity and stability based on object ***,online tracklet refinement is developed to improve the temporal performance of ***,combined with visual restoration,an accurate and stable underwater robotic visual perception framework is ***-overlap suppression is proposed to extend video object detection(VID)methods to a single-object tracking task,leading to the flexibility to switch between detection and *** experiments were conducted on the ImageNet VID dataset and real-world robotic tasks to verify the correctness of our analysis and the superiority of our proposed *** codes are available at https://***/yrqs/VisPerception.

关键词： Underwater operation Robotic perception Visual restoration Video object detection

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Point-voxel dual transformer for LiDAR 3D object detection

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Optoelectronics Letters 2025年

作者： Tong Jigang Yang Fanhang Yang Sen Du Shengzhi Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot La-boratory， Tianjin University of Technology， 391 Binshui West Road Department of Electrical Engineering， Tshwane University of Technology

Deep learning for point clouds faces the challenge of their inherent unordered nature， which makes traditional CNN-like methods not directly applicable. However， due to the inherent permutation invariance， transformers provide solutions to unordered points problems faced in LiDAR-based object detection. In this paper， a two-stage LiDAR 3D object detection framework is presented， namely Point-Voxel Dual Transformer (PV-DT3D)， which is a transformer-based method. In the proposed PV-DT3D， point-voxel fusion features are used for proposal refinement. Specifically， in the PV-DT3D， keypoints are sampled from entire point cloud scene and used to encode representative scene features via a proposal-aware voxel set abstraction module. Subsequently， following the generation of proposals by the region proposal networks (RPN)， the internal encoded keypoints are fed into dual transformer encoder-decoder architecture. In 3D object detection， the proposed PV-DT3D is the first to take advantage of both pointwise transformer and channel-wise architecture to capture contextual information from the perspective of spatial and channel dimensions. Experiments conducted on the highly competitive KITTI 3D car detection leaderboard show that， the PV-DT3D achieves superior detection accuracy among state-of-the-art point-voxel-based methods.

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A Novel Trajectory Tracking controller for UAV with Uncertainty Based on RBF and Prescribed Performance Function 3rd

A Novel Trajectory Tracking Controller for UAV with Uncert...

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3rd International Conference on Neural Computing for Advanced Applications, NCAA 2022

作者： Qi, Xuelei Li, Chen Ma, Hongjun College of Information Science and Engineering Northeastern University Shenyang110819 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong Guangzhou China

ISBN: (纸本)9789811961410

This paper proposes a novel trajectory tracking controller based on RBF neural network and fractional-order sliding mode control (FO-SMC). First, the prescribed performance control (PPC) is introduced into the system to make the tracking error converge to the predefined set. Then, the fractional-order calculus is introduced into SMC to alleviate the chattering of the system. Considering that RBF neural network can compensate for the uncertainty of the UAV motion model, RBF is introduced into the design of the controller. Besides, the Lyapunov theorem proves the stability of the system, and all signals in the closed-loop system are stable. Finally, a case study is carried out through simulation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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THE PARAMETER SENSITIVITY ANALYSIS ON THE DYNAMIC STIFFNESS OF THE ELECTRO-HYDROSTATIC ACTUATOR

THE PARAMETER SENSITIVITY ANALYSIS ON THE DYNAMIC STIFFNESS ...

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2024 CSAA/IET International Conference on Aircraft Utility systems, AUS 2024

作者： Renlei, Wei Shuai, Wu Bing, Chu Yuliang, Yang Jianing, Luo School of Automation Science and Electrical Engineering Beihang University Beijing100191 China National Key Laboratory of Aircraft Integrated Flight Control Beihang University Beijing100191 China Key Laboratory of Advanced Aircraft Systems Beihang University Ministry of Industry and Information Technology Beijing100191 China Ningbo Institute of Technology Beihang University Ningbo315800 China Tianmushan Laboratory Hangzhou310023 China AVIC Shenyang Aircraft Design and Research Institute Shenyang110035 China

The electro-hydrostatic actuator (EHA) has the advantage of high power weight ratio, less leakage and the absence of throttle loss. It's used on the multi-electric aircraft and the all-electric aircraft. However, it will be affected by the aerodynamic load and the rudder flutter will occur if the dynamic stiffness of the EHA is low. As a result, it's significant to analyse the sensitivity of the EHA's parameters on the dynamic stiffness. The article builds a linear model of the EHA considering the leakage in the system. What's more, the local parameter sensitivity for the dynamic stiffness is calculated when the frequency is between 0.01 Hz and 1000 Hz. © The Institution of engineering & technology 2024.

关键词： Sensitivity analysis

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A Finite-Time Posture control Strategy for the Swarm Underactuated Robots 5th

A Finite-Time Posture Control Strategy for the Swarm Under...

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Huang, Zixin Qin, Xiangyu Wei, Shaoqi Wang, Lejun Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Digital Textile Equipment Wuhan Textile University Wuhan430200 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9789811939976

Under the background of industrial machinery automation. The swarm robots are required to cooperate to complete complex and accurate works in finite-time and create more relative residual value. Based on the inherent advantages of underactuated robot, the research of finite time posture control strategy has higher theoretical and practical value. Firstly, the dynamic model of a single Pendubot of planar swarm underactuated robots was built. However, the robots reach to the same objective from different initial states and keep being at the same posture, so it was necessary to plan a feasible trajectory. Then, the planned trajectory parameters are optimized to make the underactuated robots relized the objectives in finite time. Finally, an unified tracking controller is designed for the underactuated robots. Simulation results of the swarm underactuated robots demonstrated the effectiveness of the proposed control strategy. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robots

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Distributed Coordinated Optimal control for Synchronous Operation of Virtually Coupled Train Set 27

Distributed Coordinated Optimal Control for Synchronous Oper...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Luo, Xiaolin Wang, Dongming Wang, Wei Ji, Yindong Liu, Hongjie Beijing Jiaotong University State Key Laboratory of Advanced Rail Autonomous Operation Beijing100044 China University of California Department of Electrical and Computer Engineering RiversideCA92521 United States Traffic Control Technology Co. Ltd Beijing100070 China Tsinghua University Department of Automation Beijing100084 China School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798331505929

Virtual coupling technologies have been widely studied in recent years, due to their merits of flexibility and efficiency. However, to operate a virtually coupled train set (VCTS) as a single train, the synchronous operation is still a critical problem to be addressed, especially in arriving. To this end, we propose a distributed coordinated optimal control (DCOC) approach integrated with distributed optimization and model predictive control. First, we formulate a globally coordinated optimal control problem for VCTS, where the states of units in VCTS are coupled in the cost and constraints. Then, we design a distributed algorithm to solve the global problem, where local problems are decoupled into ones with fewer dimensions. Next, we employ distributed model predictive control to guarantee the satisfaction of safety constraints before the convergence of the distributed algorithm. Finally, experimental results demonstrate that our approach can achieve stable and synchronous operation for VCTS and save by 90% computation time than existing centralized approaches. © 2024 IEEE.

关键词： Predictive control systems

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Semantic Segmentation of Indoor Point Clouds with the Channel Attention Mechanism

Semantic Segmentation of Indoor Point Clouds with the Channe...

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2022 Chinese automation Congress, CAC 2022

作者： Liu, Wei Lu, Yisheng Zhang, Tao Chen, Jun School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geoexploration Ministry of Education Wuhan430074 China

ISBN: (纸本)9781665465335

In recent years, the semantic segmentation of 3D point cloud has received increasing attention the field of computer vision, because 3D point cloud can better reflect our 3D space. Because of the unstructured and disordered characteristics of 3D point cloud data, semantic segmentation of point cloud is still a difficult task. Our network automatically learns the importance of feature channels by adding a channel attention module, which enables the network to obtain better training results. After the channel attention module is fused, the important channels in the features are enhanced, and the unimportant channels are suppressed, making the network training more efficient. In this paper, we propose an indoor point cloud semantic segmentation method combined with channel attention mechanism. The experimental results show that our method achieves better results than other methods. © 2022 IEEE.

关键词： Semantic Segmentation

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Sliding Mode control for Air-Land Amphibious Unmanned Aerial Vehicle in Land Mode

Sliding Mode Control for Air-Land Amphibious Unmanned Aerial...

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第43届中国控制会议

作者： Huayang Huang Wei Liu Dabo Xu Key Laboratory of Autonomous Systems and Networked Control of Ministry of Education School of Automation Science and Engineering South China University of Technology Shien-Ming Wu School of Intelligent Engineering South China University of Technology

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This paper investigates the control problem of a novel air-land amphibious unmanned aerial vehicle(NALAUAV) in the land mode by the sliding mode control approach. Firstly, considering the body height and moment of inertia of the NALAUAV in the land mode can be changed, we derive the accurate dynamics model based on the mobile wheeled inverted pendulum system and obtain real-time body height calculation through the analysis of the kinematics of the parallel robotic legs. Secondly, we design a novel sliding surface that incorporates body height estimation to ensure rapid stabilization of the body at various body height. Thirdly, we introduce a new segmented power reaching law to further improve the system performance. Theoretical proofs for the algorithm are provided, and its effectiveness is verified by numerical simulations and virtual physical simulations.

关键词： Air-land amphibious unmanned aerial vehicle Sliding mode control Segmented power reaching law

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Robust Replanning for Multi-Agent SmallSat Inspection in Failure Scenarios

Robust Replanning for Multi-Agent SmallSat Inspection in Fai...

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AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Iversflaten, Markus H. Hansson, Alexander Sternberg, David C. Jia-Richards, Oliver Albee, Keenan Department of Engineering Cybernetics Norwegian University of Science and Technology 7034 Trondheim Trondheim7034 Norway ETH Zürich Rämistrasse 101 Zürich8092 Switzerland Payload/Instrument Pointing Control Systems Engineering Group Jet Propulsion Laboratory California Institute of Technology PasadenaCA United States Department of Aerospace Engineering University of Michigan Ann ArborMI United States Maritime and Multi-Agent Autonomy Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Drive PasadenaCA United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Future space structures like the proposed Lunar Gateway may benefit from autonomous inspection and maintenance, especially during extended uncrewed periods. Small satellites (SmallSats) offer a low-cost alternative to human extravehicular activities (EVAs) for performing these tasks. However, SmallSats have a high failure rate, particularly with propulsion systems, often causing mission failures. This work is motivated by this failure rate and considers a multi-agent approach to SmallSat inspection as a way of increasing mission success through redundancy. The added risk of the multi-agent approach, namely collision risk during thruster or other system failures, is addressed. We propose a collision-aware path-planning strategy based on the Anytime Dynamic A* (AD*) algorithm, enabling efficient initial path generation and dynamic replanning in response to failures. Implementation considerations like collisionchecking in a high-fidelity simulation environment are discussed. The proposed strategy is demonstrated in a case study multi-agent inspection scenario around simulated Lunar Gateway geometry, where one SmallSat experiences a thruster failure, prompting other agents to replan their paths. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Small Satellites Extravehicular Activity Motion Planning Propulsion System Space Structures Space Infrastructure control Moment Gyroscope International Space Station Astronaut Clohessy Wiltshire Equation

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