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International Conference on Communications, Information system and Computer Engineering (CISCE)

作者： Jubo Yang Minxiu Kong Rundong Wang School of Mechatronics Engineering Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

The following topics are dealt with: learning (artificial intelligence); feature extraction; neural nets; diseases; convolutional neural nets; computer aided instruction; power engineering computing; teaching; educati... 详细信息

ISBN: (数字)9781728197616

ISBN: (纸本)9781728197623

关键词： Three-dimensional displays Spraying Robot sensing systems Robots Robot kinematics Covariance matrices Gravity

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Using permanent magnetic array device to detumble and despin defunct spacecraft 5

Using permanent magnetic array device to detumble and despin...

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2019 5th International Conference on Applied Materials and Manufacturing Technology, ICAMMT 2019

作者： Xie, Zongwu Gong, Pixu Liang, Mengde Zhang, Qi Liu, Hong State Key Laboratory of Robotics and System Harbin Institute of Technology Heilongjiang Province Harbin150001 China

For the mission of detumbling and despinning the space debris, like defunct satellites, it is highly reliable and safe to use the permanent magnetic array device (PMAD). Based on the electromagnetic principle, the target's attitude dynamics is analysed, the electromagnetic torque is studied, the formula of electromagnetic force is simplified, and the stability of the nutation Angle is obtained. The rotation speed and attitude of PMAD are controlled by a dual-manipulator space robot to ensure that the component of the torque on the spin axis is zero. So the target will be only affected by the transverse component of the torque, and then the nutation angle decreases gradually to zero. When mission completed, the dual-manipulator space robot can deorbit or maintain on-orbit servicing, which is a significant exploration. © Published under licence by IOP Publishing Ltd.

关键词： Space debris

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Compliance control of the hydraulic-driven single legged robot

Compliance control of the hydraulic-driven single legged rob...

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2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Fan, Yixiao Li, Xu Feng, Haibo Zhang, Songyuan Zhang, Chengbo Fu, Yili Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin Heilongjiang Province150001 China

ISBN: (纸本)9781728163215

This paper presents the force control strategies and a kind of compliance control strategies of the hydraulic- driven unit (HDU) in the legged robots. The model of HDU is established and the transfer function of the HDU force control system is given. The analysis of the force control strategies is introduced according to the characteristic of the HDU system. Based on the force control strategy called velocity feedback control strategy which performs the best, the virtual model control strategy which is a kind of compliance control strategy is presented to enhance the adaptability of the legged robot. Finally, the experiments are taken on the HDU experiment platform to test the performance of the force control strategies and the compliance control strategy. The landing buffer experiments are taken on the single leg robot to verify the effectiveness of the compliance control strategy. In the landing buffer experiments, the impact force of the single leg robot's knee HDU is about 0.33 time of what it is without the compliance control strategy while landing. © 2019 IEEE.

关键词： Compliance control

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Enhanced Light-Harvesting Efficiency and Adaptation: A Review on Visible-Light-Driven Micro/Nanomotors

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研究（英文） 2020年第3期 116-140页

作者： Dekai Zhou Rencheng Zhuang Xiaocong Chang Longqiu Li Key Laboratory of Microsystems and Microstructures Manufacturing Harbin Institute of Technology Harbin Heilongjiang 150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang 150001 China

As visible light accounts for a larger proportion of solar energy and is harmless to living organisms,it has the potential to be the energy source of micro/nanomotors,which transform visible-light energy into mechanical motion,for different applications,especially in environmental ***,how to precisely control the motion of visible-light-driven micro/nanomotors (VLD-MNMs) and efficiently utilize the weak visible-light photon energy to acquire rapid motion are significant *** review summarizes the most critical aspects,involving photoactive materials,propulsion mechanisms,control methods,and applications of VLD-MNMs,and discusses strategies to systematically enhance the energyharvesting efficiency and *** first,the photoactive materials have been divided into inorganic and organic photoactive materials and comprehensively ***,different propulsion mechanisms of the current VLD-MNMs are presented to explain the improvement in the actuation force,speed,and environmental *** addition,considering the characteristics of easy control of VLD-MNMs,we summarized the direction,speed,and cluster control methods of VLD-MNMs for different application ***,the potential applications of VLD-MNMs,e.g.,in environmental remediation,micropumps,cargo delivery,and sensing in microscale,are ***,discussions and suggestions for future directions to enhance the energy-harvesting efficiency and adaptation of VLD-MNMs are provided.

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Control of the two-wheeled inverted pendulum (TWIP) robot moving on the continuous uneven ground

Control of the two-wheeled inverted pendulum (TWIP) robot mo...

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2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Zhou, Haitao Li, Xu Feng, Haibo Li, Enbo Ding, Pengchao Zhai, Yanwu Zhang, Songyuan Fu, Yili Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin Heilongjiang Province150001 China

ISBN: (纸本)9781728163215

Uneven terrain is common in natural environment. The TWIP robot has demonstrated its rapid movement ability in even ground in previous works. This paper explores control of the TWIP robot in the continuous uneven ground except the step case. The sinusoidal function and the piece-wise linear function type ground surface are taken as an example to explore motion characteristics of robots on complex terrain. As for the robotic system, continuous or step changes of slope are the main types of disturbance to it. To cope with these disturbance, a Sliding Mode Control (SMC) is used to design the nominal controller due to its insensitivity to uncertainty. Then, the Extended Kalman Filter (EKF) is adopted to estimate the slope of unknown terrain without any ground information from sensors but according to motion state of robot and the Equilibrium Point Estimation (EPE) is then achieved based on the obtained slope angle. In simulation, the TWIP robot moves on these two types of uneven ground surface to track the reference position or velocity trajectory. The comparative experimental results have demonstrated that SMC combined with the EPE method can enable TWIP robot to locomote on some limited uneven ground with higher stability and dynamic performance, compared to the single LQR and the single SMC method. Also, the proposed algorithm has been conduted successfully on the WIP-Bot robot to travel upward and downward slope. © 2019 IEEE.

关键词： Sliding mode control

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Extrinsic calibration between a stereo system and a 3D LIDAR

Extrinsic calibration between a stereo system and a 3D LIDAR

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2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Zhai, Yanwu Feng, Haibo He, Jia Li, Enbo Zhang, Songyuan Fu, Yili Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin Heilongjiang Province150001 China

ISBN: (纸本)9781728163215

As the robot gradually develops from indoor to outdoor, multi-sensor fusion is increasingly being applied to the field of robot perception. Among them, LiDAR and binocular sensors are most widely used. Robots use the complementary and redundant data they provide to perform environmental perception and implement certain functions of the robot, such as SLAM, autonomous obstacle avoidance and so on. However, the data obtained by each sensor are relative to its own coordinate system. Data must be converted to a unified coordinate system before data fusion. Therefore, the calibration of the transformation among sensors is the first problem to be solved in data fusion. Moreover, the accuracy of calibration is directly related to the effect of data fusion. Therefore the calibration between sensors is very important and necessary. In this paper, we propose a novel method to find accurate rigid-body transformation for the extrinsic calibration of a 3D LiDAR and a stereo cameras, using two Aruco calibration boards. Also the validity of the algorithm is demonstrated by some experiments. © 2019 IEEE.

关键词： Calibration

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Model learning for two-wheeled robot self-balance control

Model learning for two-wheeled robot self-balance control

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2019 IEEE International Conference on robotics and Biomimetics, ROBIO 2019

作者： Li, Enbo Feng, Haibo Zhou, Haitao Li, Xu Zhai, Yanwu Zhang, Songyuan Fu, Yili Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin Heilongjiang Province150001 China

ISBN: (纸本)9781728163215

Two-wheeled robots have many advantages over other mobile robots, but they are difficult to self-balance compared with other wheeled robots. Reinforcement learning (RL) is a general framework for sequential decision-making problems. So far, there are many applications of reinforcement learning to solve robot control problems, but most of them are used in simulators because of the large amount of data required. In addition, due to the reality gap, the policy learned in a simulation environment cannot be transferred directly to a real robot. Real robot data often expensive due to the potential damage to the robot. Model-based methods require far fewer robot data than model-free methods, but these methods have the problem of model bias. In this paper, we use a model-based reinforcement learning method to achieve self-balance of a two-wheeled robot. We present a model learning method that can reduce the problem of model bias. Our method combines the simulator and a few real robot data to learn a probabilistic dynamics model of the robot through an iterative way, which requires no expertise and can learn from scratch. Then the control policy is optimized based on the learned model. © 2019 IEEE.

关键词： Reinforcement learning

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Dynamic Objects Detection Based on Stereo Visual Inertial system in Highly Dynamic Environment 16

Dynamic Objects Detection Based on Stereo Visual Inertial Sy...

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16th IEEE International Conference on Mechatronics and Automation, ICMA 2019

作者： He, Jia Zhai, Yanwu Feng, Haibo Zhang, Songyuan Fu, Yili State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang Province150001 China

ISBN: (纸本)9781728116983

Vision-based solution is a popular research for 6-DOF state estimation in recent years. All of these algorithms are based on the assumption that surrounding is static. Actually, in a highly dynamic environment, estimated state is mixed, including robot and dynamic objects. To this end, an approach for detecting dynamic objects based on the velocity of feature points is proposed in this paper. Our approach establishes the model of the velocity of feature points and separates dynamic objects motion from the mixed motion by comparing the velocity of IMU (inertial measurement unit) and feature points. Finally, the detection results of dynamic feature points on the left and right cameras' front and rear frames are fused and verified to eliminate the influence of noise and mismatching. Experimental results prove that our approach can get more accurate state estimation, which shows that this method is effective in high dynamic environments. © 2019 IEEE.

关键词： Object detection

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Fragment Distance-Guided Dual-Stream Learning for Automatic Pelvic Fracture Segmentation

SSRN

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SSRN 2024年

作者： Zeng, Bolun Wang, Huixiang Joskowicz, Leo Chen, Xiaojun Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China Department of Orthopedics National Center for Orthopedics Shanghai Sixth People’s Hospital Shanghai Jiao Tong University School of Medicine Shanghai China School of Computer Science and Engineering Edmond and Lily Safra Center for Brain Sciences Hebrew University of Jerusalem Jerusalem Israel Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China

Pelvic fracture is a complex and severe injury. Accurate diagnosis and treatment planning require the segmentation of the pelvic structure and the fractured fragments from preoperative CT scans. However, this segmentation is a challenging task, as the fragments from a pelvic fracture typically exhibit considerable variability and irregularity in the morphologies, locations, and quantities. In this study, a novel dual-stream learning framework is proposed for the automatic segmentation and category labeling of pelvic fractures. First, we develop a dual-branch architecture leveraging distance learning from bone fragments for enhanced spatial information, aiding in fracture segmentation and improving the identification of bone fragments with variable positioning. Second, we implement a multi-size feature fusion module that adaptively aggregates features from diverse receptive fields tailored to targets of different sizes and shapes, thus boosting segmentation performance. Extensive experiments on two pelvic fracture datasets from different medical centers demonstrated the accuracy and generalizability of the proposed method. It achieves a mean Dice coefficient and mean F1-score of 0.935[[EQUATION]]0.068 and 0.930[[EQUATION]]0.057 in the dataset FracCLINIC, and 0.955[[EQUATION]]0.072 and 0.912[[EQUATION]]0.129 in the dataset FracSegData, which are superior than other comparing methods. Our method optimizes the process of pelvic fracture segmentation, potentially serving as an effective tool for preoperative planning in the clinical management of pelvic fractures. © 2024, The Authors. All rights reserved.

关键词： Computerized tomography

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Area-oriented coordinated trajectory planning of dual-arm space robot for capturing a tumbling target

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Chinese Journal of Aeronautics 2019年第9期32卷 2151-2163页

作者： Wenfu XU Lei YAN Zhonghua HU Bin LIANG School of Mechanical Engineering and Automation Harbin Institute of TechnologyShenzhen 518055China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China Department of Automation Tsinghua UniversityBeijing 100084China

The growing amount of space debris poses a threat to operational spacecraft and the long-term sustainability of activities in outer space. According to the orbital mechanics, an uncontrolled space object will be tumbling, bringing great challenge to capture and remove it. In this paper, a dual-arm coordinated ‘‘Area-Oriented Capture'(AOC) method is proposed to capture a non-cooperative tumbling target. Firstly, the motion equation of the tumbling target is established, based on which, the dynamic properties are analyzed. Then, the ‘‘Area-Oriented Capture'concept is presented to deal with the problem of large pose(position and attitude) deviation and tumbling motion. An area rather than fixed points/devices is taken as the object to be tracked and captured. As long as the manipulators’ end-effectors move to a specified range of the objective areas(not fixed points on the target, but areas), the target satellite will be hugged by the two *** last, the proposed method and the traditional method(i.e. fixed-point oriented capture method)are compared and analyzed through simulation. The results show that the proposed method has larger pose tolerance and takes shorter time for capturing a tumbling target.

关键词： Area-oriented capture Dual-arm coordination Space debris removal Space robot Tumbling target capturing

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