地址:天津市津南区海河教育园区同砚路38号
学术会议 |
2022年
[1] Ziqing Chang, Hao Cheng, Hangli Ge, Feng Duan*, “Reinforcement Learning Based Shared Control: A Novel Teleoperation Strategy for Robotic Arm,” 2022 7th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), Guilin, China, 2022. 2021年
[1] Nan Li, Feng Duan*, Chi Zhu, ‘The Development of an Omnidirectional Mobile Robot Based on Hub Motor,” 2021 the 6th International Conference on Control, Robotics and Cybernetics, Online, Shanghai, 2021. [2] Hao Cheng, Feng Duan*, Haosi Zheng, “Deep Reinforcement Learning for an Anthropomorphic Robotic Arm Under Sparse Reward Tasks,” The 14th International Conference on Intelligent Robotics and Applications (ICIRA 2021), Online,Yantai, 2021. [3] Yankai Yin, Feng Duan*, Fei Kang, “Design and Control of Penta-Jet Aerial Vehicle,” The 14th International Conference on Intelligent Robotics and Applications (ICIRA 2021), Online ,Yantai, 2021. [4] Lina Zhang, Zhe Sun, Feng Duan*, Chi Zhu, Hiroshi Yokoi, “Mind Control of a Service Robot with Visual Servoing,” IEEE International Conference on Intelligent Robots and Systems, IROS 2021, September 27, 2021 - October 1, 2021, Online, 2021. [5] Yan Wang, Jianing Xue, Feng Duan*, “Raw sEMG-based Real-time Gesture Recognition with Recurrent Neural Networks,” 2021 6th International Conference on Robotics and Automation Engineering (ICRAE 2021), Online,Guangzhou, 2021. [6] Zihao Huang, Chao Li, Feng Duan*, Qibin Zhao*, “Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer,” Proceedings of the International Joint Conference on Neural Networks, v 2021-July, July 18, 2021 (IJCNN 2021 - International Joint Conference on Neural Networks). 2020年 [1] B. H. Li, C. Li, F. Duan*, N. Zheng, Q. B. Zhao, “TPFN: Apply Outer Product along Time for Multimodal Sentiment Analysis Fusion on Imperfect Data,” European Conference on Computer Vision (ECCV 2020), Glasgow, UK, Online, 2020. [2] J. N. Xue, F. Kang, H. Yokoi, C. Zhu, F. Duan* “A Novel Water Proof Prosthetic Hand Based on Conductive Silicon sEMG Sensors,” 2020 IEEE International Conference on Real-time Computing and Robotics (RCAR), Online, Asahikawa, Japan, 2020. [3] L. N. Zhang, Y. Yu, F. Kang, F. Duan*, “A ROS-based Universal Robotic Platform for Artificial Intelligence Education,” 2020 International Conference on Guidance, Navigation and Control (ICGNC 2020),Online, Tianjin, China, 2020. [4] H. S. Zheng, H.Yokoi, Y. L. Jiang, F. Duan*, “An Online sEMG Motion Classification Framework for Tele-operating the Robotic Hand,” 39th Chinese Control Conference, CCC 2020, July 27, 2020 - July 29, 2020. 2019年 [1] Y. K. Yang, F. Duan*, J. Ren, Z. Q. Liu, C. Zhu, Y. G. Soo, K. R. Mun, “A Multi-Gestures Recognition System Based on Less sEMG Sensors,” 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM), pp 105-110, Toyonaka, Gifu , Japan, 2019. [2] J. N. Xue, Y. K. Yang, J. W. Chen, Y. L. jiang, C. Zhu, H. Yokoi, F. Duan*, “The Development of an Underwater sEMG Signal Recognition System Based on Conductive Silicon,” 2019 IEEE International Conference on Advanced Robotics and its Social Impacts(ARSO). pp 387-392, Beijing, China, 31 Oct.-2 Nov. 2019. [3] Y. Z. Lv, F. Duan*, J. W. Chen, Z. L. Yang, Y. G. Soo, K. R. Mun, C. Zhu, “An Elbow Joint Angle Estimation Method Based on sEMG Feature and the Extra IMF Feature,” 2019 IEEE International Conference on Real-time Computing and Robotics, pp 130-135, Irkutsk, Russia, 4-9 Aug. 2019.
2018年 [1] Y. Yang, F. Duan*, Z. Liu, "A Time-DomainHand Gesture Recognition System Based on Two-Channel sEMG Signals,"presented at the Proceedings of the 12th International Convention onRehabilitation Engineering and Assistive Technology, Shanghai, China, 2018. 2017年 [1] S. L. Sheng, P. P. Song, L. Y. Xie, Z. D. Luo, W. N. Chang, S. R. Jiang, H. Y. Yu, C. Zhu, J. T. C. Tan, and F. Duan*, “Design of an SSVEP-based BCI System with Visual Servo Module for a Service Robot to Execute Multiple Tasks,” in IEEE Intl. Conf. on Robotics and Automation (ICRA), pp. 2267-2272, Singapore, June, 2017. [2] X. R. Fan, L. L. Dai, W. N. Chang, X. N. Ren, S. L. Sheng, F. Duan*, “Verifying the gesture identification effect of WNN and DWT for an interference driven prosthetic hand,” in 29th Chinese Control and Decision Conference (CCDC), pp. 5862-5867, Chongqing, May, 2017. [3] C. G. Xu; W. Y. Li; J. T. C. Tan, Z. Q. Chen, H. Zhang, F. Duan*, “Developing an Identity Recognition Low-Cost Home Service Robot Based on Turtlebot and ROS,” in 29th Chinese Control and Decision Conference (CCDC), pp. 4043-4048, Chongqing, May, 2017. [4] C. Ma, Z. W. Zhang and F. Duan*, “Development of Collaborative Brain-Computer Interfaces for The Multiple Robots Executing Cooperative Service Tasks,” in 11th ICME Intl. Conf. on Complex Medical Engineering (CME), Shenzhen, November, 2017. [5] J. L. Shi, X. N. Ren, Z. Q. Liu, Z. Q. Chen, and F. Duan*, “The Development of a Wheelchair Control Method based on sEMG Signals,” in 13th Chinese Intelligent system Conf. (CISC), Mudanjiang, October, 2017. [6] Z. Zhang, W. Wang, P. Song, S. Sheng, L. Xie, and F. Duan*, Yew Guan Soo, and Masato Odagaki, “Design of an SSVEP-based BCI System with Vision Assisted Navigation Module for the Cooperative Control of Multiple Robots,” in the 7th Annual IEEE Int. Conference. on CYBER Technology in Automation, Control, and Intelligent Systems, pp. 558-563, Hawaii, August, 2017. [7] J. T. Guan, Z. W. Zhang, R. S. Liu, Z.Q. Chen, F. Duan* “The Development of a Brain-Controlled Lock Based on SSVEP and MI,” Proceedings of 2017 Chinese Intelligent Systems Conference. Mudanjiang, October, 2017. [8] W. Y. Li, Z. H. An, S. R. Jiang, J. T. C. Tan, F. Duan*, C. Zhu, H. Y. Yu, “An Incremental Learning-Based Mechanism for Object Recognition in Cloud Robotic System,” in the 7th Annual IEEE Int. Conf. on CYBER Technology in Automation, Control, and Intelligent Systems, pp. 25-30, Hawaii, August, 2017. [9] W. Wang, Z. Luo, P. Song, S. Sheng, Y. Rao, Y. G. Soo, C. F. Yeong, and F. Duan*, “A Ceiling Feature-based Vision Control System for a Service Robot,” in the 36th Chinese Control Conf. (CCC), pp. 6614-6619, Dalian, July, 2017. [10] X. N. Ren, Y. G. Soo, M. Odagaki, and F. Duan*, “sEMG-Based Hand Motion Recognition System Using RMSR and AR Model,” in the 36th Chinese Control Conf. (CCC), pp. 5410-5415, Dalian, July, 2017. 2016年 [1] Z. Zhang, S. L. Sheng, R. S. Liu, P. P. Song, F. Duan*, “Design of a Hierarchical Intelligence Architecture Based on Multiple Intelligences,” in Intl. Conf. on Advanced Robotics and Mechatronics (ICARM), pp. 473-478, Macao, August, 2016. [2] S. N. Han, R. S. Liu,and F.Duan*, “Development of a Human Computer Interaction System Based on Multi-ModalGaze Tracking Methods,” inProc. of the2016 IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO), pp. 1894-1899, Qingdao, December, 2016. [3] Z. Q. Liu, W. N. Chang, S. L.Sheng, L. Li, andF. Duan*, “A Novel Upper Limb Training System Based on UR5 usingsEMG and IMU Sensors,” inProc. of the2016 IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO), pp. 1069-1074, Qingdao, December, 2016. [4] J. N. Cui, P. P. Song, W. Y.Li, S. Han, L. Li, Z. Q. Liu, andF. Duan*, “Design of a Health Care Platform for the Elderly,” inProc. of the 2016 IEEE Intl. Conf. onRobotics and Biomimetics (ROBIO), pp. 661-666, Qingdao, December, 2016. [5] H. B. Liang, andF. Duan*, “Investigation of the EEGScalp Distribution for Estimation of Shoulder Joint Torque in the Upper-LimbPower Assistant System,” inProc. of the2016 IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO), pp. 1912-1917, Qingdao, December, 2016. [6] W. K. Zhang, Z. H. An, Z. D. Luo, W. Y. Li, Z. Zhang, Y. M. Rao, andF. Duan*, “Development of a Voice-Control Smart Home Environment,”inProc. of the 2016 IEEE Intl. Conf. onRobotics and Biomimetics (ROBIO), pp. 1697-1702, Qingdao, December, 2016. [7] X. Y. Gu, P. P. Song, Y. M.Rao, andF. Duan*, “Dynamic Image Stitching for Moving Object,” inProc. of the 2016 IEEE Intl. Conf. onRobotics and Biomimetics (ROBIO), pp. 1770-1775, Qingdao, December, 2016. [8] Z. W. Zhang, J. T. Guan, W. N.Chang, W. J. Wang, M. W. Sun, andF. Duan*, “Automatic Motion Tracking and Data Analysis System for aRat,” inProc. of the 2016 IEEE Intl.Conf. on Robotics and Biomimetics (ROBIO), pp. 1691-1696, Qingdao, December, 2016. [9] Y. Lu, Y. Hu, R. S. Liu, H. F.Wang, andF. Duan*, “The Design of SimulationVehicle System Controlled by Multichannel EEG Based on Imaginary Movements,” inProc. of the 35th Chinese Control Conf. (CCC), pp. 4976-4981, Chengdu, July,2016. [10] L. Li, S. Han, andF. Duan*, “An Automatic Parts DetectionSystem Based on Computer Vision,” in Proc. of the 35th Chinese Control Conf. (CCC), pp. 4976-4981, Chengdu, July, 2016. [11] X. N. Ren, L. L. Dai, andF. Duan*,“Comparing the sEMG Recognition Effects between Computer and DSP,” inProc. of the 35th Chinese Control Conf. (CCC), pp. 4841-4846, Chengdu, July,2016. 2015年 [1] W. Li, P. Song, andF. Duan*, “Verificationthe Feasibility of SIGVerse for Human-Robot Interaction Simulation throughFollowing Task,” inProc. of the IEEEIntl. Conf. on Robotics and Biomimetics (ROBIO), pp. 1189-1194, Zhuhai,December, 2015 . [2] W. Chang, L. Dai, S. Sheng, andF. Duan*,“A Hierarchical Hand MotionsRecognition Method Based on IMU and EMG Sensors,”inProc. of the IEEE Intl.Conf. on Robotics and Biomimetics (ROBIO), pp. 1024-1029, Zhuhai, December,2015. [3] Z. Luo, S. Han, andF. Duan*,“The Development of a Smart HouseSystem Based on Brain-Computer Interface,”inProc. of the IEEE Intl.Conf. on Robotics and Biomimetics (ROBIO), pp. 1012-1017, Zhuhai, December,2015. [4] L. Xie, H. Zhang, andF. Duan*,“A Feature Extraction Method Basedon Dictionary Learning for EEG,”in11th Intl. Conf. onNatural Computation (ICNC'15), pp. 1056-1061, Zhangjiajie, 2015. [5] L. Dai andF. Duan*,“Comparison of sEMG-Based Feature Extraction and Hand MotionClassification Methods,”in11th Intl. Conf. onNatural Computation (ICNC'15), pp. 883-888, Zhangjiajie, 2015. [6] P. Song, W. Li, N. Yang, andF. Duan*,“An Intelligent Vision LocalizationSystem of a Service Robot Nao,”inProc. of the 34th ChineseControl Conf. (CCC), pp. 5993- 5998, Hangzhou, 2015. [7] R. Liu, Z. Zhang, S. Han, D.Lin, andF. Duan*,“A Mobility Training and RemoteMonitoring Device for The Elderly,”inProc. of the 34th ChineseControl Conf. (CCC), pp. 5846- 5850, Hangzhou, 2015. [8] D. Lin,andF. Duan*,“Design of an Online BCI SystemBased on CCA Detection Method,”inProc. of the 34th ChineseControl Conf. (CCC), pp. 4728- 4733, Hangzhou, 2015. 2014年 [1] X. Wen, F. Duan*, Y. Yu, and X. Cheng, “Design of aMulti-Functional System based on Virtual Reality for Stroke Rehabilitation,” inProc. of the 11th World Congress onIntelligent Control and Automation, pp. 2412-2417, Shenyang, China, 2014. 2013年 [1] N. Yang, F. Duan*, Y. Wei, C. Liu, B. Xu, and J. Zhang, “AStudy of the Human-Robot Synchronous Control System based on Skeletal TrackingTechnology,” inProc. of the IEEE Intl.Conf. on Robotics and Biomimetics (ROBIO), pp. 2191-2196, Shenzhen, China,December, 2013 . [2] J. Shen, F. Duan*, Q. Wang, “A Study on sEMG Signals Pattern Recognition of Key Hand Motions,” inProc. of the IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO), pp. 2626-2631, Shenzhen, China, December, 2013. [3] W. Li, Q. Li, F. Duan*, and J.Zhang, “A Study of the Joint Decision between Spatial Intelligence and AgentIntelligence Based on Multi-Source Information,” inProc. of the IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO), pp. 2424-2429, Shenzhen, China, December, 2013. [4] P. Kang, X. Wen, S. Han, F. Duan*, and J. Liu, “Design of a State-Action Map for an Omni-Directional Mobile Walking SupportRobot,” inProc. of the IEEE Intl. Conf.on Robotics and Biomimetics (ROBIO), pp. 352-357, Shenzhen, China,December, 2013 . [5] S. Han, P. Kang, G. Liu,F. Duan*, J. Yuan, and J.Liu, “An Designated Obstacle Monitoring Approach based on Self-DefinedLandmarks for a Mobile Robot,” inProc.of the IEEE Int. Conf. on Robotics and Biomimetics (ROBIO), pp. 1893-1898,Shenzhen, China, December, 2013 . [6] P. Kang, Y. Deng, F. Duan*, “An Omni-Directional Mobile WalkingSupport Robot,” inProc. of the 32th Chinese Control Conf. (CCC), pp. 5716-5721, Xi'an, 2013. 2009年 [1] F. Duan, “Using Motion Capture Data toRegenerate Operator’s Motions in a Simulator at Real Time,” inProc. of the IEEE Intl.Conf. on Robotics and Biomimetics (ROBIO2008), pp. 102-107, Bangkok,Thailand, February, 2009 . [2]F. Duan, Y. Zhang, “Safety Design and Development of Human-Robot Collaboration in Cellular Manufacturing,” in The 2009 IEEE Intl. Conf. on Automation Science and Engineering (CASE2009), pp.537-542, Bangalore, India, August 2009. [3]F. Duan, Y. Zhang, “Human-Robot Collaboration in Cellular Manufacturing: Design and Development,” in The 2009 IEEE Intl. Conf. on Intelligent Robots and Systems (IROS2009), pp. 29-34, St. Louis, MO, USA, October 2009. [4]Y. Zhang, F. Duan, “Human Factors Studies in Information Support Development for Human-Robot Collaborative Cellular Manufacturing System,” in 18th IEEE Intl. Symposium on Robot and Human Interactive Communication (ROMAN2009), pp.334-339, Toyama, Japan, September 2009. [5] Y. Gao, F. Duan, “Assembly Skill Training System in Cell Production,” in The Japan Society for Precision Engineering (JSPE2009), Kobe, Japan, September, 2009. [6] 段峰, : 人間・ロボット協調型セル生産組立システムの開発, 2009年度精密工学会春季大会学術講演会講演論文集, E06, 東京, 2009年3月(日文). [7] 段峰: セル生産システムにおけるマルチメディア情報を用いた作業情報支援, 2009年度精密工学会春季大会学術講演会講演論文集, A85, 東京, 2009年3月(日文). [8] F. Duan*, “Human-Robot Collaboration for Cell Assembly Production,” in The 2009 IEEE Intl. Symposium on Assembly and Manufacturing (IEEE ISAM 2009), pp.149-154, Seoul, Korea November 2009. [9] F. Duan*, Y. Zhang, “Task Modeling Approach to Enhance Man-Machine Collaboration in Cell Production,” in The 2009 IEEE Intl. Conf. on Robotics and Automation (ICRA2009), pp. 152-157, Kobe, Japan, May 2009. [10]段峰*, 張冶: Assembly Information Development in Task Modeling to Support Man-Machine Collaboration in Cell Production, 2009年度精密工学会春季大会学術講演会講演論文集, A84, 東京, 2009年3月. [11]F. Duan*, Y. Zhang , “Extending Task Analysis in HTA to Model Man-Machine Collaboration in Cell Production,” in Proc. of the IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO2008), pp. 542-547, Bangkok, Thailand, February, 2009. 2008年 [1] F. Duan, “Predict Worker's Intention through Template-based GestureRecognition Method,” inThe Japan Societyfor Precision Engineering (JSPE2008), C66, pp.213-214, Tohoku University,Japan, September 2008. [2] F. Duan, “Image-based Operator Monitoring System,” inThe Robotics Society of Japan (RSJ2008), RSJ2008AC1L3-07, Kobe, Japan, September 2008. [3] F. Duan,“ConstructState-Action Map through Human Control Trajectories and Computation,”inProc. of the IEEE Intl. Conf. on Automation and Logistics (ICAL2008), pp.804-809, Qingdao, P. R. China, September 2008. [4] F. Duan, Y. Zhang, “Analyzing Human Skill through ControlTrajectories and Motion Capture Data,” inProc.of the IEEE Intl. Conf. on Automation Science and Engineering (CASE2008),pp.454-459, Washington D. C., USA, August 2008 . [5] F. Duan, “Multimedia based Assembly Supporting System for Cell Production,” inThe 41st CIRP Conf. on Manufacturing Systems(CIRP MS), pp.213-216, Tokyo, Japan, May 2008 . [6] F. Duan*, Y. Zhang, “Safety Strategy Design in Operation Control System for Man-Machine Collaboration in Cell Production,” in The Robotics Society of Japan (RSJ2008), RSJ2008AC3J3-04, Kobe, Japan, September 2008. [7]F. Duan*, Y. Zhang“Task Decomposition of Cell Production Assembly Operation for Man-Machine Collaboration by HTA,” in Proc. of the IEEE Intl. Conf. on Automation and Logistics (ICAL2008), pp.1066-1071, Qingdao, P. R. China, September 2008. [8] Y. Zhang, F. Duan*, “A Study of Design Factors for Information Supporting System in Cell Production,” in The 41st CIRP Conf. on Manufacturing Systems (CIRP MS), pp.319-322, Tokyo, Japan, May 2008. [9] F. Duan*, Y. Zhang,“Assembly Information System for Operational Support in Cell Production,” in The 41st CIRP Conf. on Manufacturing Systems (CIRP MS), pp.209-212, Tokyo, Japan, May 2008. [10] F. Duan*, “Evaluating Assembly Instruction Methods in Cell Production System by Physiological Parameters and Subjective Indices,” in The 41st CIRP Conf. on Manufacturing Systems (CIRP MS), pp.199-202, Tokyo, Japan, May 2008. [11]Y. Zhang, F. Duan “Application of Task Analysis Strategy for Man-Machine Collaboration Modeling in Cell Production,” in The Japan Society for Precision Engineering (JSPE2008), L09, pp.903-904, Tohoku University, Japan, September 2008. [12] Y. Zhang, F. Duan, “A Study of Information Support Methods in Cell Production,” in The Robotics Society of Japan (RSJ2008), RSJ2008AC3O3-01, Kobe, Japan, September 2008 (日文). 2007年 [1] F. Duan, “Analyze AssemblySkills using a Motion Simulator,” inProc.of the IEEE Intl. Conf. on Robotics and Biomimetics (ROBIO2007),pp.1428-1433, Sanya, P. R. China, December 2007. [2] F. Duan, Y. Zhang, “Analysis of Skills in Assembly using aMotion Simulator,” inThe RoboticsSociety of Japan (RSJ2007), 2K17, Chiba-ken, Japan, Sep. 2007. 2006年 [1] F. Duan, “Pushing Motions of Quadruped Robot Generated by Genetic Algorithm,” inThe 6th Intl. Workshop on Emergent Synthesis(IWES2006), pp.277-282, Kashiwa, Japan, August 2006. [2] F. Duan,“遺伝的アルゴリズムによる4脚移動ロボットの物体押し動作の生成”, inProc. of the 2006 JSME Conf. on Robotics andMechatronics (ROBOMEC2006), 2P1-B08, Tokyo, Japan, 2006 (日文). [3] G. Tian, F. Duan,“Modular Design of Home Service Robot Systemwith Hierarchical Colored Petri Net”, inThe9th Intl. Conf. on Intelligent Autonomous Systems (IAS-9), pp.542-549, Kashiwa, Japan, 2006. |
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