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2022 IEEE International Conference on robotics and Biomimetics, ROBIO 2022

作者： Liu, Ziqi Jiang, Li Li, Wangyang Cheng, Ming Wu, Xiaoqiao State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150008 China

ISBN: (纸本)9781665481090

This work investigates the design of the sensor system and control system for the coupled adaptive multi-fingered dexterous hand with actively switchable modalities. Considering the specific mechanical structure characteristics of the dexterous hand, a master-slave distributed control system design approach is adopted to integrate the sensor system and control system inside the finger, which completes the mechatronic integration of the whole hand. It can realize the modularity at the finger level and simplify the system complexity. This paper also introduces a fuzzy adaptive PID control method and develops the control strategy in active switchable mode. The experimental results show that the controller architecture can adapt to the changes in the institutional characteristics of the system when the finger switches between coupled and coupled adaptive states. It can complete the high-precision tracking of the target trajectory, achieve accurate position control, and have superior real-time performance. © 2022 IEEE.

关键词： Controllers

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Terrain Classification Using Mars Raw Images Based on Deep Learning Algorithms with Application to Wheeled Planetary Rovers 11

Terrain Classification Using Mars Raw Images Based on Deep L...

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11th Asia-Pacific Regional Conference of the International Society for Terrain-Vehicle systems, ISTVS 2022

作者： Guo, Junlong Zhang, Xingyang Dong, Yunpeng Xue, Zhao Huang, Bo State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781942112532

Scene information plays a crucial role in motion control, attitude perception, and path planning for wheeled planetary rovers (WPRs). Terrain recognition is the fundamental component of scene recognition. Due to the rich information, visual sensors are usually used in terrain classification. However, teleoperation delay prevents WPRs from using visual information efficiently. End-to-end learning method of deep learning (DL) that does not need complex image preprocessing was proposed to deal with this issue. This paper first built a terrain dataset (consists of loose sand, bedrock, small rock, large rock, and outcrop) using real Mars images to directly support You Only Look Once (YOLOv5) to test its performance on terrain classification. Because the capability of end-to-end training scheme is positively correlated with dataset, the performance of YOLOv5 can be significantly improved by exploiting orders of magnitude more data. The best combination of hyperparameters and models was achieved by slightly tuning YOLOv5, and data augmentation was also applied to optimize its accuracy. Furthermore, its performance was compared with two other end-to-end network architectures. Deep learning algorithms can be used in the future planetary exploration missions, such as WPRs autonomy improvement, traversability analysis, and avoiding getting trapped. Copyright © 2022 by the International Society for Terrain-Vehicle systems. All rights reserved.

关键词： Convolutional neural networks

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Design of A Rigid-soft Hybrid Robotic Glove with Force Sensing Function

Design of A Rigid-soft Hybrid Robotic Glove with Force Sensi...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Hexin Li Li Jiang Ruichen Zhen Ming Cheng Kehan Ding State Key Laboratory of Robotics and System Harbin Institute of Technology

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Soft robotic gloves can not only provide timely, effective, safe and cheap rehabilitation training for patients with impaired movement function of hand, but also assist in completing daily grasping activities. However, most soft robotic gloves are completely composed of flexible structures. Although they have high flexibility and safety, there are problems such as poor fit and low output force. In order to solve these problems, this paper refers to the structure of the human hand and designs an articulated rigid-soft hybrid robotic glove, which combines the advantages of rigid robotic gloves and soft robotic gloves, and has high flexibility, high output force and good fit. In addition, soft robotic gloves generally lack the ability to sense the force between the human hand and the glove. Therefore, this paper designed an array flexible force sensor, and studied the structure, signal acquisition and preparation process of the sensor. Finally, a complete test platform was built to test the performance of the rigid-soft hybrid robotic glove with force sensing function. The test results show that the robotic glove has good fit and high output force, can effectively assist training and assist grasping, and can perceive the contact force.

关键词： Training Sensitivity Force Grasping Soft robotics Robot sensing systems Safety

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Design, modeling, and evaluation of parallel continuum robots: A survey

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Science China(Technological Sciences) 2024年第3期67卷 673-695页

作者： CHEN GenLiang TANG ShuJie DUAN XuYang WANG Hao Meta Robotics Institute Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Mechanical Systems and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Digital Manufacturing for Thin-Walled Structures Shanghai Jiao Tong UniversityShanghai 200240China

Parallel continuum robots(PCRs) have attracted increasing attention in the robotics community due to their simplicity in structure,inherence with compliance, and easiness of realization. Over the past decade, a variety of novel designs have been reported to enrich their diversity. However, there is a lack of systematic review of these emerging robots. To this end, this paper conducts a comprehensive survey on the mechanism design, kinetostatic modeling and analysis, and performance evaluation. For these robots, kinetostatic modeling plays a fundamental role throughout the design, analysis, and control stages. A systematic review of the existing approaches for kinetostatic modeling and analysis is provided, and a comparison is made to distinguish their differences. As well, a classification is made according to the characteristics of structure and actuation. In addition, performance evaluation on the workspace, stability, and singularity is also overviewed. Finally, the scenarios of potential applications are elaborated, and future research prospects are discussed. We believe that the information provided in this paper will be particularly useful for those who are interested in PCRs.

关键词： parallel continuum robots classification kinetostatic modeling performance evaluation

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Research on miniaturized power transmission system of ROV 4

Research on miniaturized power transmission system of ROV

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4th International Conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2024

作者： Yang, Mingyu Zhao, Shiyu Tao, Yichun Yang, Yang State Key Laboratory Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

As the basic guarantee for power distribution, navigation control, motion control and underwater operation of ROV, power transmission system provides energy security for ROV. Reasonable power transmission system design is an important guarantee for ROV comprehensive performance. In the design of the power transmission system, the high-voltage and power-frequency transmission has the characteristics of small transmission current but large volume of underwater transformer. The medium-voltage and medium-frequency transmission has the characteristics of small volume but low transmission efficiency of the underwater transformer. In order to reduce the energy loss caused by the long-distance transmission of medium-voltage and medium-frequency power electricity in the armored cable, reduce the volume of the underwater transformer, and solve the conflict between the efficiency and the volume, this paper presents an ROV power transmission method based on matrix transformation. This method conducts the long-distance transmission in the armored cable by the high-voltage and power-frequency method so as to reduce transmission loss. By increasing the transmission frequency in the underwater end, the volume of the underwater transformer is reduced under the condition of ensuring the transmission efficiency. In this way, the space occupied by the transformer on the ROV can be reduced to meet the application requirements of the ROV underwater transformer device with small volume, high power and efficient transmission. © 2024 SPIE.

关键词： Power transmission

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General closed-form inverse kinematics for arbitrary three-joint subproblems based on the product of exponential model

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Frontiers of Mechanical Engineering 2022年第2期17卷 85-101页

作者： Tao SONG Bo PAN Guojun NIU Jiawen YAN Yili FU State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150001China School of Mechanical Engineering and Automation Zhejiang Sci-Tech UniversityHangzhou 310018China

The inverse kinematics problems of robots are usually decomposed into several Paden–Kahan subproblems based on the product of exponential model. However, the simple combination of subproblems cannot solve all the inverse kinematics problems, and there is no common approach to solve arbitrary three-joint subproblems in an arbitrary postural relationship. The novel algebraic geometric (NAG) methods that obtain the general closed-form inverse kinematics for all types of three-joint subproblems are presented in this paper. The geometric and algebraic constraints are used as the conditions precedent to solve the inverse kinematics of three-joint subproblems. The NAG methods can be applied in the inverse kinematics of three-joint subproblems in an arbitrary postural relationship. The inverse kinematics simulations of all three-joint subproblems are implemented, and simulation results indicating that the inverse solutions are consistent with the given joint angles validate the general closed-form inverse kinematics. Huaque III minimally invasive surgical robot is used as the experimental platform for the simulation, and a master–slave tracking experiment is conducted to verify the NAG methods. The simulation result shows the inverse solutions and six sets given joint angles are consistent. Additionally, the mean and maximum of the master–slave tracking experiment for the closed-form solution are 0.1486 and 0.4777 mm, respectively, while the mean and maximum of the master–slave tracking experiment for the compensation method are 0.3188 and 0.6394 mm, respectively. The experiments results demonstrate that the closed-form solution is superior to the compensation method. The results verify the proposed general closed-form inverse kinematics based on the NAG methods.

关键词： inverse kinematics Paden-Kahan subproblems three-joint subproblems product of exponential closed-form solution

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The hydrodynamics of self-rolling locomotion driven by the flexible pectoral fins of 3-D bionic dolphin

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Journal of Ocean Engineering and Science 2022年第1期7卷 29-40页

作者： Zhihan Li Dan Xia Xufeng Zhou Jiabo Cao Weishan Chen Xingsong Wang School of Mechanical Engineering Southeast UniversityNanjing 211189China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin 150080China

The novel autonomous rolling performance is realized by the pair of pectoral fins of a three-dimensional(3-D)bionic dolphin in this paper numerically.3-D Navier-Stokes equations are employed to simulate the viscous fluid around the bionic *** effect of self-rolling manoeuvrability is ex-plored using the dynamic mesh technology and user-defined function(UDF).By varying the parameter ratios,the interaction of flexible pectoral fins is divided into two motion modes,amplitude differential and frequency differential *** the primary driving source,the differential motion of a pair of pec-toral fins can effectively provide the rolling torque,and the trajectory of the entire rolling process is approximately the clockwise *** results demonstrate that the rolling angular velocity and driving torque in the steady state can be improved by increasing parameter ratios,and the rolling efficiency can reach the maximum under the optimal parameter ***,different parameter ratios do not af-fect the rolling radius of the self-rolling *** evolution process around the pair of pectoral fins is shown by the flow structures in self-rolling swimming,reasonably revealing that self-rolling locomotion is produced by the pressure and wake vortices surrounding the pair of pectoral fins,and the wake struc-tures depend primarily on the variation of parameter *** properly turns out that the application of the pair of pectoral fins can realize the self-rolling performance through parameter differential modes.

关键词： Self-rolling dolphin Parameter differential mode Numerical simulation Hydrodynamic performance Flow structures

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Versatile Jumping of Humanoid Robots via Curriculum-Assisted Reinforcement Learning

Versatile Jumping of Humanoid Robots via Curriculum-Assisted...

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2024 China Automation Congress, CAC 2024

作者： Tan, Ruiyu Li, Xueai Ni, Fenglei Zhou, Dong Ji, Yi Shao, Xiangyu Key Laboratory of Autonomous Intelligent Unmanned Systems Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350368604

Versatile jumping is crucial for agile and adaptive behavior of humanoid robots in complex environments. However, humanoid robots have to manage impact forces while maintaining balance and stability throughout the take-off, flight, and landing phases, which imposes significant challenges for motion planning and controller design. This paper proposes a curriculum-assisted reinforcement learning framework for the humanoid robot to achieve various jumping tasks. The curriculum learning divides the jump training process into multi-stages and design different episodes in each stage to guarantee the training feasibility and generalize learned skills. Simulations on a 28 DOFs humanoid robot verify the excellent diverse jumping capability of the proposed policy. This exploration of different tasks also proves the policy’s robustness, allowing the robot quickly recover from perturbations using a variety of learned maneuvers. © 2024 IEEE.

关键词： Anthropomorphic robots

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Robustness and Push Recovery of Humanoid Robots Using Predictive and Whole-Body Control

Robustness and Push Recovery of Humanoid Robots Using Predic...

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2024 IEEE International Conference on Unmanned systems, ICUS 2024

作者： Zhang, Shaojie Ni, Fenglei Li, Xueai Li, Xu Ji, Yi Shao, Xiangyu State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China Key Laboratory of Autonomous Intelligent Unmanned Systems Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350384185

Robustness walking and recovery ability in uneven terrains and unexpected collisions are crucial for the practical application of humanoid ***, existing methods struggle to effectively balance stability, motion safety and walking *** paper proposes a hybrid control strategy combing Nonlinear Model Predictive Control (NMPC) and Whole-Body Control (WBC) to improve the robot's walking stability and reaction safety in collisions *** NMPC generates long-term and macroscopic movements, with capture point theory being utilized for foot placements determination under external *** this foundation, the WBC regulates the robot refinedly in real-time based on task priorities and *** verify the effectiveness of the proposed method, involving uneven terrain walking and external impacts rejection. © 2024 IEEE.

关键词： Anthropomorphic robots

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Synergistic control of soft robotic hands for human-like grasp postures

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Science China(Technological Sciences) 2022年第3期65卷 553-568页

作者： ZHANG NingBin ZHAO Yi GU GuoYing ZHU XiangYang Robotics Institute School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China

Although significant advances in the design of soft robotic hands have been made to mimic the structure of the human hands,there are great challenges to control them for coordinated and human-like *** on the principle of postural synergies in the human hand,we present a synergistic approach for coordinated control of a soft robotic hand to replicate the human-like grasp *** this end,we firstly develop a kinematic model to describe the control variables and the various postures of the soft robotic *** on the postural synergies,we use the developed model and Principal Component Analysis(PCA)method to describe the various postures of the soft robotic hand in a low-dimensional space formed by the synergies of actuator ***,the coordinates of these synergies can be used as low-dimensional control inputs for the soft robotic hand with a higher-dimensional postural ***,we establish an experimental platform on a customized soft robotic hand with6 pneumatical actuators to verify the effectiveness of the *** results demonstrate that with only a 2-dimensional control input,the soft robotic hand can reliably replicate 30 grasp postures in the Feix taxonomy of the human hand.

关键词： soft robotic hand synergistic control human-like grasp postures principal component analysis pneumatic actuation

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