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学者姓名：陈彦杰
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PurposeThis study aims to introduce the fast reactive tree (FRT*) algorithm for enhancing replanning speed and reducing the overall cost of navigation in unknown dynamic environments.Design/methodology/approachFRT* comprises four key components: inverted tree build, convex hull construction, dead nodes inform activation and lazy-rewiring replanning. First, an initial path is found from the inverted tree where the valid structure is preserved to minimise re-exploration areas during the replanning phase. As the robot encounters environment changes, convex hulls are extracted to sparsely describe impacted areas. Next, the growth direction of the modified tree is biased by the inform activation of dead nodes to avoid unnecessary exploration. In the replanning phase, the tree structure is optimized using the proposed lazy-rewiring replanning to find a high-quality path with low computation burden.FindingsA series of comprehensive simulation experiments demonstrate that the proposed FRT* algorithm can efficiently replan short-cost feasible paths in unknown dynamic environments. The differential wheeled mobile robot with varying reference linear velocities is used to validate the effectiveness and adaptability of the proposed strategy in real word scenarios. Furthermore, ablation studies are conducted to analyze the significance of the key components of FRT*.Originality/valueThe proposed FRT* algorithm introduces a novel approach to addressing the challenges of navigation in unknown dynamic environments. This capability allows mobile robots to safely and efficiently navigate through unknown and dynamic environments, making the method highly applicable to real-world scenarios.
Keyword ：
Mobile robot Mobile robot Replanning Replanning Time efficiency and navigation cost Time efficiency and navigation cost Unknown dynamic environment Unknown dynamic environment
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| GB/T 7714 | Li, Zheng , Chen, Yanjie , Zhang, Zhixing et al. FRT*: fast reactive tree for mobile robot replanning in unknown dynamic environments [J]. | ROBOTIC INTELLIGENCE AND AUTOMATION , 2025 , 45 (2) : 173-186 . |
| MLA | Li, Zheng et al. "FRT*: fast reactive tree for mobile robot replanning in unknown dynamic environments" . | ROBOTIC INTELLIGENCE AND AUTOMATION 45 . 2 (2025) : 173-186 . |
| APA | Li, Zheng , Chen, Yanjie , Zhang, Zhixing , Zhong, Hang , Wang, Yaonan . FRT*: fast reactive tree for mobile robot replanning in unknown dynamic environments . | ROBOTIC INTELLIGENCE AND AUTOMATION , 2025 , 45 (2) , 173-186 . |
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The wheeled bipedal robots have great application potential in environments with a mixture of structured and unstructured terrain. However, wheeled bipedal robots have problems such as poor balance ability and low movement level on rough roads. In this paper, a novel and low-cost wheeled bipedal robot with an asymmetrical five-link mechanism is proposed, and the kinematics of the legs and the dynamics of the Wheeled Inverted Pendulum (WIP) are modeled. The primary balance controller of the wheeled bipedal robot is built based on the Linear Quadratic Regulator (LQR) and the compensation method of the virtual pitch angle adjusting the Center of Mass (CoM) position, then the whole-body hybrid torque-position control is established by combining attitude and leg controllers. The stability of the robot's attitude control and motion is verified with simulations and prototype experiments, which confirm the robot's ability to pass through complex terrain and resist external interference. The feasibility and reliability of the proposed control model are verified.
Keyword ：
Wheeled Robots Legged Robots Motion Control Mechanism Design Wheeled Robots Legged Robots Motion Control Mechanism Design
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| GB/T 7714 | Xiong, Yi , Liu, Haojie , Chen, Bingxing et al. Whole-Body Hybrid Torque-Position Control for Balancing with a New Wheeled Bipedal Robot [J]. | JOURNAL OF BIONIC ENGINEERING , 2025 , 22 (2) : 626-641 . |
| MLA | Xiong, Yi et al. "Whole-Body Hybrid Torque-Position Control for Balancing with a New Wheeled Bipedal Robot" . | JOURNAL OF BIONIC ENGINEERING 22 . 2 (2025) : 626-641 . |
| APA | Xiong, Yi , Liu, Haojie , Chen, Bingxing , Chen, Yanjie , Yao, Ligang , Lu, Zongxing . Whole-Body Hybrid Torque-Position Control for Balancing with a New Wheeled Bipedal Robot . | JOURNAL OF BIONIC ENGINEERING , 2025 , 22 (2) , 626-641 . |
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This study proposes an image-based visual servoing(IBVS)method based on a velocity observer for an unmanned aerial vehicle(UAV)for tracking a dynamic target in Global Positioning System(GPS)-denied environments.The proposed method derives the simplified and decoupled image dynamics of underactuated UAVs using a constructed virtual camera and then considers the uncertainties caused by the unpredictable rotations and velocities of the dynamic target.A novel image depth model that extends the IBVS method to track a rotating target with arbitrary orientations is proposed.The depth model ensures image feature accuracy and image trajectory smoothness in rotating target tracking.The relative velocities of the UAV and the dynamic target are estimated using the proposed velocity observer.Thanks to the velocity observer,translational velocity measurements are not required,and the control chatter caused by noise-containing measurements is mitigated.An integral-based filter is pro-posed to compensate for unpredictable environmental disturbances in order to improve the anti-disturbance ability.The stability of the velocity observer and IBVS controller is analyzed using the Lyapunov method.Comparative simulations and multistage experiments are conducted to illustrate the tracking stability,anti-disturbance ability,and tracking robustness of the proposed method with a dynamic rotating target.
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| GB/T 7714 | Yanjie Chen , Yangning Wu , Limin Lan et al. Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances [J]. | 工程（英文） , 2024 , 35 (4) : 74-85 . |
| MLA | Yanjie Chen et al. "Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances" . | 工程（英文） 35 . 4 (2024) : 74-85 . |
| APA | Yanjie Chen , Yangning Wu , Limin Lan , Hang Zhong , Zhiqiang Miao , Hui Zhang et al. Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances . | 工程（英文） , 2024 , 35 (4) , 74-85 . |
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This paper investigates the stable control problem of unmanned aerial manipulator (UAM) in the presence of lumped disturbance, including modelling uncertainties and external inferences. These disturbances typically involve limited prior knowledge and change rapidly, presenting considerable challenges to real-time control accuracy. To address this issue, a Takagi-Sugeno-Kang estimator (TSKE) with K-closest fuzzy rules interpolation (K-FRI) is proposed to derive an approximation for the uncertain disturbances. The incorporation of K-FRI enhances the accuracy and convergence rate of the estimation under the conditions of a sparse fuzzy rule base with an incomplete fuzzy quantity space. Subsequently, a backstepping controller with arbitrary convergence time is introduced to guarantee the rapid and precise control of the UAM. The stability of both the TSKE and the controller with arbitrary convergence time is analysed through Lyapunov theory. The feasibility and performance of the proposed control strategy are validated via comparative experimental simulations, demonstrating its ability for robust estimation capability with stable control performance, at any convergence time of the UAM working under lumped disturbance. © 2024 IEEE.
Keyword ：
arbitrary convergence time control arbitrary convergence time control fuzzy rule interpolation fuzzy rule interpolation TSK estimator TSK estimator Unmanned aerial manipulator Unmanned aerial manipulator
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| GB/T 7714 | Chen, Y. , Liu, X. , Shang, C. et al. Arbitrary Convergence Time Control for Aerial Manipulator with TSK Estimator [未知]. |
| MLA | Chen, Y. et al. "Arbitrary Convergence Time Control for Aerial Manipulator with TSK Estimator" [未知]. |
| APA | Chen, Y. , Liu, X. , Shang, C. , Chen, J. , Chang, X. , Chao, F. et al. Arbitrary Convergence Time Control for Aerial Manipulator with TSK Estimator [未知]. |
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As one of the most fundamental operations in mechanical production, hole-making plays a crucial role. However, existing hole-making sequence optimization models are not suitable for workshops with variable production parameters. To address this issue, a new model, named multi-objective multi-tool hole-making sequence optimization with precedence constraints (MO-MTpcHSO), is proposed in this paper. The model has two objectives: spindle travel distance and tool switching time. To solve MO-MTpcHSO, a customized Q-learning based genetic algorithm (QLGA) is proposed. The adaptive encoding method allows chromosomes to express feasible solutions, the population is considered as the agent, and the states are intervals of the diversity coefficient. Different insertion methods in the crossover operator are set as actions, and the reward is related to the diversity and values of objective functions of the population. The effectiveness of QLGA is validated by comparing it with other algorithms in practical workpieces. Moreover, the reasonability of actions and the necessity of the Q-learning framework in QLGA are validated.
Keyword ：
genetic algorithm genetic algorithm hole-making sequence optimization hole-making sequence optimization multi-objective problem multi-objective problem Q-learning Q-learning
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| GB/T 7714 | Zhang, Desong , Chen, Yanjie , Zhu, Guangyu . Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning [J]. | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE , 2024 , 8 (6) : 3793-3806 . |
| MLA | Zhang, Desong et al. "Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning" . | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 8 . 6 (2024) : 3793-3806 . |
| APA | Zhang, Desong , Chen, Yanjie , Zhu, Guangyu . Multi-Objective Hole-Making Sequence Optimization by Genetic Algorithm Based on Q-Learning . | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE , 2024 , 8 (6) , 3793-3806 . |
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This study proposes an image-based visual servoing (IBVS) method based on a velocity observer for an unmanned aerial vehicle (UAV) for tracking a dynamic target in Global Positioning System (GPS)denied environments. The proposed method derives the simplified and decoupled image dynamics of underactuated UAVs using a constructed virtual camera and then considers the uncertainties caused by the unpredictable rotations and velocities of the dynamic target. A novel image depth model that extends the IBVS method to track a rotating target with arbitrary orientations is proposed. The depth model ensures image feature accuracy and image trajectory smoothness in rotating target tracking. The relative velocities of the UAV and the dynamic target are estimated using the proposed velocity observer. Thanks to the velocity observer, translational velocity measurements are not required, and the control chatter caused by noise-containing measurements is mitigated. An integral-based filter is proposed to compensate for unpredictable environmental disturbances in order to improve the antidisturbance ability. The stability of the velocity observer and IBVS controller is analyzed using the Lyapunov method. Comparative simulations and multistage experiments are conducted to illustrate the tracking stability, anti-disturbance ability, and tracking robustness of the proposed method with a dynamic rotating target. (c) 2023 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keyword ：
Target tracking Target tracking Unmanned aerial vehicle Unmanned aerial vehicle Velocity observer Velocity observer Visual servoing Visual servoing
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| GB/T 7714 | Chen, Yanjie , Wu, Yangning , Lan, Limin et al. Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances [J]. | ENGINEERING , 2024 , 35 : 74-85 . |
| MLA | Chen, Yanjie et al. "Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances" . | ENGINEERING 35 (2024) : 74-85 . |
| APA | Chen, Yanjie , Wu, Yangning , Lan, Limin , Zhong, Hang , Miao, Zhiqiang , Zhang, Hui et al. Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances . | ENGINEERING , 2024 , 35 , 74-85 . |
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In this article, an robust adaptive stiffness visual servoing control method is proposed to guarantee a compliant physical interaction with a prescribed performance of the unmanned aerial manipulator (UAM) in the presence of disturbances and modeling uncertainties. First, to address the slow response speed of visual servoing control when image features change, a visual servo position controller with prescribed performance is adopted to enhance the convergence speed through the gradually convergent error boundary. Second, considering the influence of disturbances and modeling uncertainties caused by the flight platform on the admittance accuracy during physical interaction, an robust adaptive stiffness physical interaction controller is introduced, generating stable admittance command image features to ensure a reliable interaction force. Finally, physical comparative and real-world experimental studies are conducted to validate the feasibility and performance of the proposed method. The results demonstrate that the UAM under control is capable of exhibiting specified performance during contact operations, allowing smooth adaptation to changes in contact forces.
Keyword ：
Adaptive stiffness Adaptive stiffness admittance control admittance control Cameras Cameras Force Force Manipulators Manipulators prescribed performance prescribed performance Target tracking Target tracking Uncertainty Uncertainty unmanned aerial manipulator (UAM) unmanned aerial manipulator (UAM) Visualization Visualization visual servo visual servo Visual servoing Visual servoing
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| GB/T 7714 | Chen, Yanjie , Lan, Limin , Liu, Xincheng et al. Adaptive Stiffness Visual Servoing for Unmanned Aerial Manipulators With Prescribed Performance [J]. | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 , 71 (9) : 11028-11038 . |
| MLA | Chen, Yanjie et al. "Adaptive Stiffness Visual Servoing for Unmanned Aerial Manipulators With Prescribed Performance" . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 71 . 9 (2024) : 11028-11038 . |
| APA | Chen, Yanjie , Lan, Limin , Liu, Xincheng , Zeng, Guohang , Shang, Changjing , Miao, Zhiqiang et al. Adaptive Stiffness Visual Servoing for Unmanned Aerial Manipulators With Prescribed Performance . | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2024 , 71 (9) , 11028-11038 . |
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The motion planning of robots faces formidable challenges in restricted environments, particularly in the aspects of rapidly searching feasible solutions and converging toward optimal solutions. This article proposes workspace-guided informed tree (WGIT*) to improve planning efficiency and ensure high-quality solutions in restricted environments. Specifically, WGIT* preprocesses the workspace by constructing a hierarchical structure to obtain critical restricted regions and connectivity information sequentially. The refined workspace information guides the sampling and exploration of WGIT*, increasing the sample density in restricted areas and prioritizing the search tree exploration in promising directions, respectively. Furthermore, WGIT* utilizes gradually enriched configuration space information as feedback to rectify the guidance from the workspace and balance the information of the two spaces, which leads to efficient convergence toward the optimal solution. The theoretical analysis highlights the valuable properties of the proposed WGIT*. Finally, a series of simulations and experiments verify the ability of WGIT* to quickly find initial solutions and converge toward optimal solutions.
Keyword ：
Motion planning Motion planning restricted environments restricted environments workspace-guided exploration workspace-guided exploration workspace-guided sampling workspace-guided sampling
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| GB/T 7714 | Zhang, Zhixing , Chen, Yanjie , Han, Feng et al. WGIT*: Workspace-Guided Informed Tree for Motion Planning in Restricted Environments [J]. | IEEE-ASME TRANSACTIONS ON MECHATRONICS , 2024 , 29 (5) : 3821-3832 . |
| MLA | Zhang, Zhixing et al. "WGIT*: Workspace-Guided Informed Tree for Motion Planning in Restricted Environments" . | IEEE-ASME TRANSACTIONS ON MECHATRONICS 29 . 5 (2024) : 3821-3832 . |
| APA | Zhang, Zhixing , Chen, Yanjie , Han, Feng , Fan, Junwei , Yu, Hongshan , Zhang, Hui et al. WGIT*: Workspace-Guided Informed Tree for Motion Planning in Restricted Environments . | IEEE-ASME TRANSACTIONS ON MECHATRONICS , 2024 , 29 (5) , 3821-3832 . |
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This article aims to investigate the research achievements related to aerial robots with physical interaction. Various morphologies of aerial physical interaction (APhI) robot prototypes with fixed wing, flapping wing, single main rotor, conventional underactuated multirotor, fully actuated multirotor, even deformed multirotor, and multiple platforms are reviewed for different APhI tasks associated with momentary, loose, and strong interaction coupling. This review also covers APhI robot rigid dynamics and robot-environment coupled interaction dynamics modeling methods, interaction wrench measurement/estimation, decoupled and coupled control, active aerial interaction control, and task-constrained planning approaches. Finally, future development directions and prospects are initially anticipated for aerial robots with physical interaction. Note to Practitioners-Aerial physical interaction (APhI) has been a hot topic in the field of aerial robots in recent years, which is a reflection of the advanced capabilities of aerial robots. However, APhI robots face challenges such as difficulty in flight stability and weak adaptability to dynamic environments while exerting active influence on environments. Under this background, this review aims to offer a reference for researchers and practitioners engaged in the related field from the aspects of system design, modeling, control, and task-constrained planning, which hopes to help them apply APhI robots to polar scientific expeditions, complex environment sampling, infrastructure inspection and maintenance, and other application areas. Further, this review also highlights the design idea of rigid-soft integrated APhI robots from the perspective of design-mechanism-performance to enhance interaction stability and safety.
Keyword ：
active interaction control active interaction control Aerial robots with physical interaction Aerial robots with physical interaction Autonomous aerial vehicles Autonomous aerial vehicles coupled modeling coupled modeling Couplings Couplings Propellers Propellers prototype prototype Reviews Reviews Robots Robots Rotors Rotors Task analysis Task analysis
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| GB/T 7714 | Zhong, Hang , Liang, Jiacheng , Chen, Yanjie et al. Prototype, Modeling, and Control of Aerial Robots With Physical Interaction: A Review [J]. | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING , 2024 . |
| MLA | Zhong, Hang et al. "Prototype, Modeling, and Control of Aerial Robots With Physical Interaction: A Review" . | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2024) . |
| APA | Zhong, Hang , Liang, Jiacheng , Chen, Yanjie , Zhang, Hui , Mao, Jianxu , Wang, Yaonan . Prototype, Modeling, and Control of Aerial Robots With Physical Interaction: A Review . | IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING , 2024 . |
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This article proposes a reference optimization-based compliant control framework for aerial pipeline inspection using a hexacopter with a robotic contact device. The system dynamics is modeled, and the aerial interaction performance is quantified by a cost function, which is regulated by the trajectory tracking error and the interaction force. Then, the iteration-based reference learning scheme is introduced to minimize the cost function and realize the optimal interaction performance without the knowledge of the contact environment. Next, a command filter-based adaptive backstepping trajectory tracking controller is designed to avoid the complexity explosion problem as well as implement stable and accurate tracking performance under external wrenches. Simulation studies and real-world experiments illustrate the feasibility of the proposed framework and provide promising results.
Keyword ：
Aerial contact inspection Aerial contact inspection command filter-based adaptive backstepping control command filter-based adaptive backstepping control optimization-based compliant interaction control framework optimization-based compliant interaction control framework reference learning reference learning
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| GB/T 7714 | Liang, Jiacheng , Zhong, Hang , Wang, Yaonan et al. Reference Optimization-Based Compliant Control for Aerial Pipeline Inspection Using a Hexacopter With a Robotic Contact Device [J]. | IEEE-ASME TRANSACTIONS ON MECHATRONICS , 2024 . |
| MLA | Liang, Jiacheng et al. "Reference Optimization-Based Compliant Control for Aerial Pipeline Inspection Using a Hexacopter With a Robotic Contact Device" . | IEEE-ASME TRANSACTIONS ON MECHATRONICS (2024) . |
| APA | Liang, Jiacheng , Zhong, Hang , Wang, Yaonan , Chen, Yanjie , Mao, Jianxu , Wang, Wei et al. Reference Optimization-Based Compliant Control for Aerial Pipeline Inspection Using a Hexacopter With a Robotic Contact Device . | IEEE-ASME TRANSACTIONS ON MECHATRONICS , 2024 . |
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