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Dynamic modelling and PFL-based trajectory tracking control for underactuated cable-driven truss-like manipulator

Journal of Central South University 2021年第10期28卷 3127-3146页

作者： DING Shu-chen PENG Li QIAO Shang-ling LIU Rong-qiang JOSEPHAT Bundi School of IoT Engineering Jiangnan UniversityWuxi 214122China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001China

In recent years,an innovative underactuated robot was developed,named as underactuated cable-driven trusslike manipulator(UCTM),to be suitable in aerospace ***,there has been strong consensus that the stabilization of planar underactuated manipulators without gravity is a great challenge since the system includes a second order nonholonomic constraint and most classical control methods are not suitable for this kind of ***,the complexity of the truss-like structure results in tremendous difficulty of computational complicacy and high nonlinearity during dynamic modelling in addition to controller *** is paramount to solve these difficulties for UCTM's future *** solve the above difficulties,this paper presents a dynamic modelling method for UCTM and a trajectory tracking control method based on partial feedback linearization(PFL)that fulfills the control goal of moving UCTM from its original position to a desired position by tracking a given trajectory of the joint *** achieve this,a model equivalent method is proposed to make UCTM equivalent with a three-link manipulator in the sense of dynamic *** the Lagrangian equation combined with complex vector method is proposed in the dynamic modelling process of UCTM,which simplifies the derivation *** on the established dynamic model,a coordinate transformation method is proposed to transform the control force matrix into the conventional form of an underactuated system,so that the control force can be separated from the unactuated *** PFL method in combination with the LQR control method is then proposed to realize the targets that the joint angles can track given desired *** experiments are conducted to verify the correctness and effectiveness of the proposed methods.

关键词： underactuated robot trajectory tracking control partial feedback linearization non-linear control

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MQADet: A Plug-and-Play Paradigm for Enhancing Open-Vocabulary Object Detection via Multimodal Question Answering

arXiv

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arXiv 2025年

作者： Li, Caixiong Zhao, Xiongwei Zhang, Jinhang Zhang, Xing Sun, Qihao Wu, Zhou School of Computer and Information Science Qinghai Institute of Technology China School of Information Science and Technology Harbin Institute of Technology Shen Zhen China The State Key Laboratory of Robotics and System Harbin Institute of Technology China School of Computer Science and Technology Qinghai University China Eryuan Digital Technology Co. Ltd. China

Open-vocabulary detection (OVD) is a challenging task to detect and classify objects from an unrestricted set of categories, including those unseen during training. Existing open-vocabulary detectors are limited by complex visual-textual misalignment and long-tailed category imbalances, leading to suboptimal performance in challenging scenarios. To address these limitations, we introduce MQADet, a universal paradigm for enhancing existing open-vocabulary detectors by leveraging the cross-modal reasoning capabilities of multimodal large language models (MLLMs). MQADet functions as a plug-and-play solution that integrates seamlessly with pre-trained object detectors without substantial additional training costs. Specifically, we design a novel three-stage Multimodal Question Answering (MQA) pipeline to guide the MLLMs to precisely localize complex textual and visual targets while effectively enhancing the focus of existing object detectors on relevant objects. To validate our approach, we present a new benchmark for evaluating our paradigm on four challenging open-vocabulary datasets, employing three state-of-the-art object detectors as baselines. Experimental results demonstrate that our proposed paradigm significantly improves the performance of existing detectors, particularly in unseen complex categories, across diverse and challenging scenarios. To facilitate future research, we will publicly release our code. © 2025, CC BY.

关键词： Object detection

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Fast automatic docking control for electric tractors

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Fundamental Research 2024年

作者： Li, Pengpeng Bai, Yu Li, Weihua Chen, Bowen You, Bindi Zhuang, Hongchao Wang, Jianfeng Gao, Haibo Deng, Zongquan School of Astronautics Harbin Institute of Technology Harbin 150001 China School of Automotive Engineering Harbin Institute of Technology (Weihai) Weihai 264201 China Yangtze River Delta HIT robot technology research institute Wuhu 241060 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 China Tianjin University of Technology and Education Tianjin 300222 China

In this study, we investigate the automatic docking of an electric tractor with a semi-trailer in narrow and long-distance scenarios. We propose an automatic docking method based on a multi-sensor fusion high-precision positioning algorithm and a multi-strategy docking control algorithm. To solve the heading-angle error of the involved camera due to mechanical errors, a compensation value in the form of angle deviation is introduced. To alleviate the increase in the camera detection error with longitudinal distance, a piecewise coordinate compensation function is proposed. Repositioning is performed using light detection and ranging (Lidar) to improve the pose-perception accuracy to the millimeter level. To avoid the interference of point clouds on the relocation accuracy of Lidar, a search-and-location method that combines both small and large neighborhoods is proposed. To achieve the desired docking success rate, a multi-strategy-adjustment control algorithm is used to enable comprehensive adjustment, including approximate control of the maximum angle based on lateral deviation and fine proportional-integral-differential (PID) control based on lateral deviation and longitudinal distance, security check cycle and premature warning mechanism, and risk avoidance control. Finally, the reliability and stability of the design scheme are verified by conducting multiple experiments involving actual vehicles. © 2024

关键词： Automatic docking Electric tractor Fusion positioning Piecewise proportional-integral-differential

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Iterative learning control of trajectory tracking of robot manipulator based the SoC platform integrated motor drive and motion control 10

Iterative learning control of trajectory tracking of robot m...

引用

10th International Conference on Power Electronics, Machines and Drives, PEMD 2020

作者： Sun, Yongping Yang, Ming Chen, Yangyang Ni, Qinan Xu, Dianguo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (纸本)9781839535635

With the development of SoC technology, the integration of FPGA+ARM has become the development direction of SoC. For the characteristics of integrated multi-axis motion control and motor drive, this paper selects Xilinx ZYNQ-7020 system-on-chip (SOC) with integrated dual-core ARM CPU and FPGA as the hardware platform control chip, an arm core motor drive algorithm. Another ARM core completes the interactive function and motion control, and the FPGA to complete the multi-axis hardware current loop and improve the system bandwidth. The iterative learning control (ILC) technology is widely used in robots to reduce the trajectory error of robots performing repetitive tasks. Using P-type iterative learning ILC combined with feedback control, which can compensate for nonrepeating disturbance. Finally, analysis of experimental results shows that iterative learning control combined with feedback control can significantly improve tracking accuracy. © PEMD *** right reserved.

关键词： Two term control systems

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Moobot: a miniature origami omnidirectional jumping robot with high trajectory accuracy

TechRxiv

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TechRxiv 2022年

作者： Tang, Lingqi Li, Yao Li, Bing School of Mechanical Engineering and Automation Harbin Institute of Technology Shenzhen Shenzhen518055 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

The jumping trajectory control is important for the jumping robots to overcome different obstacles. However, the trajectory control of a micro jumping robot is not easy. No insect-scale jumping robots have demonstrated the precise trajectory following yet. We proposed a miniature origami omnidirectional jumping robot (Moobot) that achieved the feedback control of jumping trajectory. The jumping of the robot is based on a four-bar origami structure and the SMA actuators. Unlike the tethered micro robots that powered externally, we integrated a miniature control board with LiPo battery on the robot for remote control. The overall system measured 6 g in mass, 5.5 cm in length and 2cm in height. Two strain gauges and an IMU sensor were used on the robot for the feedback control of the jumping force and take-off angle, respectively. Meanwhile, a reliable jumping mechanism and a novel supporting leg were designed to improve the jumping stability and trajectory accuracy. The standard deviation of the jumping distances was less than 1.4 cm, which is greatly improved from all previous micro jumping robots. Furthermore, we integrated the yaw control and conducted the omnidirectional jumping experiments. The results revealed that Moobot could climb different platforms from all directions precisely. © 2022, CC BY.

关键词： Feedback control

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Comparative study of voltage source inverter nonlinearity compensation using different signal information for table look up in PMSM drives 10

Comparative study of voltage source inverter nonlinearity co...

引用

10th International Conference on Power Electronics, Machines and Drives, PEMD 2020

作者： Long, Jiang Yang, Ming Chen, Yangyang Ni, Qinan Xu, Dianguo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China

ISBN: (纸本)9781839535635

The inverter nonlinearity compensation has been studied by the researchers widely, however, due to the poor polarity detection ability of the discrete control system and unavoidable noises from current feedback, unideal compensation happens when the motor speed is low and the load is small. In order to tackle with this problem. This paper presents an inverter nonlinearity compensation method in permanent magnet synchronous motor (PMSM) drives. The overall process is achieved by voltage signal injection, the only requirements are stator resistance and the maximum current of a given motor. The corresponding voltage errors are saved in look up table (LUT) and being used together with field-oriented control (FOC). In addition, a comparative study when using phase current feedback, phase current reference and phase voltage reference for compensation voltages look-up in the already established LUT is conducted. A 750-W voltage-source inverter PMSM drive controlled by the FOC algorithm is used for experiment verification, the results show that the phase current reference is the most proper signal for compensation voltages look-up, especially around the current zero-crossing condition. The comparative study in this paper can be easily applied in the real industrial application with no hardware introduction and very little algorithm change. © PEMD *** right reserved.

关键词： Table lookup

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Dynamic Visual SLAM Based on Semantic Information and Multi-View Geometry 5

Dynamic Visual SLAM Based on Semantic Information and Multi-...

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5th International Conference on Automation, Control and robotics Engineering, CACRE 2020

作者： Shi, Junyi Zha, Fusheng Guo, Wei Wang, Pengfei Li, Mantian Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781728198880

Visual Simultaneous Localization and Mapping (Visual SLAM) is considered to be one of the important foundations for mobile robots to move toward intelligence, which gives robots the ability to autonomously locate and construct maps in an unknown environment. In the past decades, great progress has been made in the field of visual SLAM, relatively mature algorithm system and program architecture are gradually developed. However, the current researches on visual SLAM mostly assume that the surrounding environment is static, which greatly limits the application of SLAM systems in real world. Aiming at the urgent need of mobile robots for precise localization and map construction in dynamic environment, methods are proposed in this paper. Image semantic segmentation based on deep learning and multi-view geometry methods are combined to recognize and segment moving objects. Only background features are used for camera tracking to avoid the impact of moving objects. Furthermore, an experimental platform is built using RGB-D camera and motion capture device, the effectiveness of the algorithm is verified by public datasets and real scene data. © 2020 IEEE.

关键词： Semantics

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Imitation of Manipulation Skills Using Multiple Geometries

arXiv

引用

arXiv 2022年

作者： Ti, Boyang Gao, Yongsheng Zhao, Jie Calinon, Sylvain State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Idiap Research Institute MartignyCH-1920 Switzerland

Daily manipulation tasks are characterized by geometric primitives related to actions and object shapes. Such geometric descriptors are poorly represented by only using Cartesian coordinate systems. In this paper, we propose a learning approach to extract the optimal representation from a dictionary of coordinate systems to encode an observed movement/behavior. This is achieved by using an extension of Gaussian distributions on Riemannian manifolds, which is used to analyse a set of user demonstrations statistically, by considering multiple geometries as candidate representations of the task. We formulate the reproduction problem as a general optimal control problem based on an iterative linear quadratic regulator (iLQR), where the Gaussian distribution in the extracted coordinate systems are used to define the cost function. We apply our approach to object grasping and box opening tasks in simulation and on a 7-axis Franka Emika robot. The results show that the robot can exploit several geometries to execute the manipulation task and generalize it to new situations, by maintaining the invariant characteristics of the task in the coordinate system(s) of interest. Copyright © 2022, The Authors. All rights reserved.

关键词： Geometry

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A Kind of Kinematics Modeling of 2 DOFs Notched Continuum Manipulator 7

A Kind of Kinematics Modeling of 2 DOFs Notched Continuum Ma...

引用

7th International Conference on Information Science and Control Engineering, ICISCE 2020

作者： Wang, Xiaolong Yan, Zhiyuan Wang, Haodong Gao, Yongzhuo Du, Zhijiang Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9781728164069

It's difficult for traditional rigid manipulators to complete relevant operations in the single port laparoscopic. The notched continuum manipulator owns the features of flexibility and biocompatibility which can make it possible applied in the single port laparoscopic. A kinematics modeling similar to the constant-curvature approximations is proposed in this paper. It can be utilized to describe the mapping relationship between the length change value of two driven wires and the end position. This method simplifies the complexity of kinematic modeling. And it makes the control method of the continuum manipulator easier to achieve as well. The accuracy of the model has been verified by the prototype. © 2020 IEEE.

关键词： Manipulators

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Combined studies of surface evolution and crack healing for the suppression of negative factors during CO_(2) laser repairing of fused silica

引用

Chinese Optics Letters 2021年第4期19卷 44-49页

作者： Chao Tan Linjie Zhao Mingjun Chen Jian Cheng Zhaoyang Yin Qi Liu Hao Yang Wei Liao State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Research Center of Laser Fusion China Academy of Engineering PhysicsMianyang 621900China

In order to reveal the evolution mechanism of repaired morphology and the material's migration mechanism on the crack surface in the process of CO_(2) laser repairing surface damage of fused silica optics, two multi-physics coupling mathematical models with different scales are developed, respectively. The physical problems, such as heat and mass transfer,material phase transition, melt flow, evaporation removal, and crack healing, are analyzed. Studies show that material ablation and the gasification recoil pressure accompanying the material splash are the leading factors in forming the Gaussian crater with a raised rim feature. The use of low-power lasers for a long time can fully melt the material around the crack before healing, which can greatly reduce the size of the residual air layer. Combined with the experimental research, the methods to suppress the negative factors(e.g., raised rim, deposited debris, air bubbles) in the CO_(2) laser repairing process are proposed.

关键词： CO_(2)laser repairing fused silica crack healing surface evolution

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