{"title":"Visual Servoing Gain Tuning by Sarsa: an Application with a Manipulator","authors":"Jie Liu, Yang Zhou, Jian Gao, Weisheng Yan","doi":"10.1145/3598151.3598169","DOIUrl":"https://doi.org/10.1145/3598151.3598169","url":null,"abstract":"This paper investigates a Sarsa-based visual servoing control gain tuning method and the application on a manipulator. For a typical visual servo controller, fixed control gains will not provide the best performance. Therefore, state action reward state action (SARSA) algorithm, one of learning-based methods from reinforcement learning (RL), is introduced to select control gains in every control step. The norm of the visual error is used to define the state space. The positive gain of the controller is discretized as the actions. A reward function is defined to evaluate the performance of every action. Both a numerical test and a robot experiment are carried out to validate the presented algorithm.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"240 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121092800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu-Quan Lin, Xu-Chong Zhang, Wen-Fan Li, Xiao-Hui Ma
{"title":"Human-Like Motion Planning of Anthropomorphic Arms Based on Hierarchical Strategy","authors":"Yu-Quan Lin, Xu-Chong Zhang, Wen-Fan Li, Xiao-Hui Ma","doi":"10.1145/3598151.3598161","DOIUrl":"https://doi.org/10.1145/3598151.3598161","url":null,"abstract":"The human-like motion of anthropomorphic arms can improve the efficiency of HRI (human-robot interaction). We propose a simple and easy-to-use human-like motion planning algorithm of anthropomorphic arms based on hierarchical strategy. By setting the trigger conditions of the end-effector's position and attitude, the motion of the robotic arm is divided into reaching stage and grasping stage. The end-effector velocity is planned using minimum jerk model, and a clamping function is applied to improve the smoothness of the motion. The inverse kinematics is solved using selectively damped least squares method, which can avoid singularities. To deal with the redundancy problem, a human-like pose optimization function based on the principle of minimum potential energy is defined, which is solved using gradient projection method. The simulation and experimental results show that the robotic arm achieves good human-like performance in both Cartesian space and joint space, confirming the effectiveness of the motion planning algorithm proposed in this paper.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"38 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhong-Qi Li, Shuang Liang, Mingming Guo, Hua Zhang, Heng Wang
{"title":"Cross-media control and parameter tuning for water-air amphibious multi-rotor vehicle","authors":"Zhong-Qi Li, Shuang Liang, Mingming Guo, Hua Zhang, Heng Wang","doi":"10.1145/3598151.3598153","DOIUrl":"https://doi.org/10.1145/3598151.3598153","url":null,"abstract":"In this paper, the cross-media control of the water-air amphibious multi-rotor vehicle is studied, and the ADRC method is proposed to build a controller for the water-air amphibious multi-rotor vehicle. Firstly, this paper establishes the cross-media dynamics and kinematics model of water-air amphibious multi-rotor vehicle and proposes a step-by-step vertical cross-media model. Based on this, a string-level controller is built using ADRC, and further, a particle swarm algorithm is introduced for controller parameter tuning. A comparison of the control effect with conventional PID and sliding mode controller (SMC) shows that:The introduction of particle swarm algorithm for controller parameter tuning can effectively improve the control performance, and the proposed string-level ADRC control strategy has stronger real-time and anti-interference capability.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeyuan Zhang, Guiyu Xia, Paike Yang, Wenkai Ye, Yubao Sun, Jia Liu
{"title":"Pose driven motion image generation aided by depth information","authors":"Zeyuan Zhang, Guiyu Xia, Paike Yang, Wenkai Ye, Yubao Sun, Jia Liu","doi":"10.1145/3598151.3598177","DOIUrl":"https://doi.org/10.1145/3598151.3598177","url":null,"abstract":"Motion transfer which can be used as drive technology of the interaction between users and virtual roles has been a research hotspot in recent years. It is essentially a deformation process of human appearances, consequently motion transfer is typically regarded as a pose-guided image generation task which can be solved by a GAN based framework. However, the real motions occur in 3D space and the image generation in 2D plane inevitably lacks the depth information guidance of the original motions, which will result in the confusion of depths for different body parts. Besides, the adversarial loss of GAN presents weak constraints on the silhouette details. In this paper, we propose a two-stage GAN based model to make up for the defect of lacking depth information and improve the accuracy of the generated silhouette details. In stage-I, we propose a silhouette attention GAN with a silhouette consistency loss to generate the depth maps of target people. This not only brings the depth information of the original motions in 3D space but also aligns the body regions with reliable silhouettes for the following person image generation. In stage-II, we propose a context-enhanced GAN with the target poses and depth maps generated in the first stage as input to generate the final motion images. The generated results have reliable depth information and accurate silhouettes, demonstrating the effectiveness of the proposed model.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research On the Application of Blockchain Technology in Big Data Auditing","authors":"Yuan Sun, Xing Zhang, Meng-Hong Han","doi":"10.1145/3598151.3598160","DOIUrl":"https://doi.org/10.1145/3598151.3598160","url":null,"abstract":"Abstract: Studying the combination of blockchain technology and big data auditing will help to improve the authenticity of audit data, the efficiency of the audit process, and the accuracy of audit results. This paper starts from the characteristics of blockchain technology and combines the analysis of big data, put forward the application concept of blockchain technology in big data audit, at the same time, combined with the traditional audit process, reconstruct the audit process under the blockchain technology, and provide new ideas for the development of audit work. Finally, combined with the current bottleneck of blockchain technology, the practical problems that should be understood in the application of blockchain technology are put forward to provide ideas for the combination of blockchain technology and auditing.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120881174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Object Detection Algorithm of Stairs Based on Multi-information Fusion","authors":"Weifeng Kong, Zhiying Tan, Xu Tao, Wenbo Fan, Yanjun Ji, Meiling Wang, Xiaobin Xu","doi":"10.1145/3598151.3598187","DOIUrl":"https://doi.org/10.1145/3598151.3598187","url":null,"abstract":"In view of the mobile robot's perception of the environment in the process of moving, the method of deep learning is used to detect the target terrain in order to send follow-up instructions to the robot. In this paper, a lightweight stairs detection algorithm based on improved YOLOv5-Lite is proposed, which uses RepVGG as the backbone network to extract features to build YOLOv5-Lite lightweight neural network model, and removes the Focus layer in the backbone network and replaces it with a 6x6 convolution layer to reduce the number of network parameters to improve the speed of model detection. Through the introduction of BasicRFB_s pooling layer, increase the receptive field of the network, and add C3SE attention mechanism in the pooling layer to reduce pooling loss. To decrease the mistakes, we also segment the point cloud of stairs into vertical and horizontal planes by the difference of normal and consider their probability distribution for the further detection. The experimental results show that the accuracy of the improved lightweight algorithm can reach 97.1%, and the frame rate can reach 51 fps. After segmenting the point cloud, the accuracy of detection method can reach 99.9% and the frame rate can reach 46 fps. The results show that the proposed method has the characteristics of real-time, lightweight and high accuracy.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132901845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Hysteresis Modeling and Compensation of Tendon-Sheath System via Piecewise Linear Approximation","authors":"Ye Lu, Huijun Li, Jian-yang Lai, Ai-Guon Song","doi":"10.1145/3598151.3598433","DOIUrl":"https://doi.org/10.1145/3598151.3598433","url":null,"abstract":"Tendon-sheath system (TSS) provides a simple yet dexterous solution of force transmission for remote actuation. However, the nonlinear friction determines the control performance of TSS. This paper proposes a simplified piecewise linear model to construct backlash hysteresis. An inverse transmission of this model is used to control distal-end force. Considering the effect of velocity on the transmission model, a piecewise inverse mode method with variable parameters is designed to reduce the force tracking error. The performance of the proposed methods is evaluated by force-tracking experiments with different velocities. The results show that the proposed compensator achieves good force-tracking performance and reduces root mean square error (RMSE) from 3.95 N (without compensator), 1.03 N (traditional compensator), and 0.79 N (piecewise compensator) to 0.43 N (piecewise compensator with varying parameters).","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128841334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qixing Zheng, Bo Zhou, Zhenbo Ma, Fang Fang, Yahui Gan
{"title":"A Collision-free Path Planning Algorithm for Industrial Robots with Adaptive Search Mechanism","authors":"Qixing Zheng, Bo Zhou, Zhenbo Ma, Fang Fang, Yahui Gan","doi":"10.1145/3598151.3598174","DOIUrl":"https://doi.org/10.1145/3598151.3598174","url":null,"abstract":"In path planning for industrial robots, collision avoidance is a critical constraint. This paper studies the problem of collision-free motion planning for a spraying robot, i.e., obtaining a series of joint configurations along a given spraying waypoint that satisfies the collision constraints and satisfy the kinematics of the robot. Aiming at this problem, a collision-free motion optimization algorithm based on the adaptive search is proposed in this paper. First, a boundary volume hierarchy (BVH) of the robot and environment is quickly generated based on the GPU parallel architecture. Second, the redundancy of spray incidence angles is used to search for feasible spray incidence angle directions in the redundant space and update the robot's BVHs for collision detection. In addition, during the optimization iterations, the size of the search space is adaptively reduced according to the number of collision failures in the previous iterations to avoid falling into a local optimum. Finally, the effectiveness of the proposed algorithm is verified by simulation on a six-degrees-of-freedom robot performing a spraying task.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121854041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Airframe Parameters of OAT-bicopter to Optimize Pitch Stability","authors":"Junsheng Xu, Cheng-Yen Yu, Heqing Li, Chenyang Zhao, Qijun Li, Xinde Li","doi":"10.1145/3598151.3598434","DOIUrl":"https://doi.org/10.1145/3598151.3598434","url":null,"abstract":"Unmanned aerial vehicle (UAV), a type of airborne mobile robot operated without human intervention, has become a research hotspot in recent years due to its numerous advantages. Among them, bicopter has attracted much attention for its superior maneuverability. However, the flight performance of the bicopter is easily affected by various airframe parameters, such as the position of the center of gravity, rotor inertia, and angle of the servo tilting axis. In this study, we conduct theoretical analysis of the Oblique Active Tilting(OAT) bicopter to identify optimal parameters for stable flight. First, we obtain the transfer function of the UAV’s pitch control system based on its pitch motion equation, and analyze its pitch stability using the characteristic equation. Then, we investigate the influence of parameters such as the position of the center of gravity, rotor inertia, and angle of the servo tilting axis on the UAV’s dynamic and steady-state performance, and propose a method to determine the optimal angle of the servo tilting axis. Finally, we validate the effectiveness of our proposed parameters through simulation experiments, demonstrating the theoretical and practical significance of our research for stable control and application of OAT-bicopters.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129155487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive Sliding Mode Force Tracking Approach for Unstructured Environment","authors":"Xingkun Wang, Zi-Cong Wei, Changhong Shi, Huaqing Huang, Haochen Zhang, Weirong Liu","doi":"10.1145/3598151.3598175","DOIUrl":"https://doi.org/10.1145/3598151.3598175","url":null,"abstract":"This manuscript presents a novel force tracking scheme that focuses on solving the problem of compliant interaction during contact between robot and unstructured environment. Constant interaction force error compensation lacks adaptive capability for robot, which cannot effectively compensate for unstructured environment. Contrarily, the proposed adaptive variable impedance control method based on sliding mode structure (AVIS) can steadily track desired force during interaction process. Sliding mode control based on approximation law is used to adaptively modify damping and stiffness parameters of impedance control online, which continuously compensates for nonlinear dynamic system with high uncertainty. Stability and convergence of AVIS are proven. Experiments on diverse force interaction tasks show that stable and robust force tracking performance can be achieved by AVIS.","PeriodicalId":398644,"journal":{"name":"Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133858712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}