庞牧野

发布时间:2019-02-25


庞牧野 副教授

  通讯地址:武汉洪山区珞狮路205

  武汉理工大学自动化学院

  邮   编:430070

  手   机:+86-13971374795

  E-mail:   pangmuye@163.com

           pmymania@gmail.com

  工作经历                                               

  2004.09 - 2008.06  学士:电子科技大学

  2008.09 - 2011.06  硕士:电子科技大学

  2011.07 - 2015.03  博士:日本国立香川大学

  2015.05 - 2017.08  讲师:武汉理工大学

  2017.09 - 现在    副教授:武汉理工大学

  研究方向                                               

  机器人仿生智能控制:面向机器人与动态环境交互下的关节智能控制

  检测技术与自动化装置:面向仿生应用,设计用于检测人体步态的自动化装置

  相关项目                                               

  【2017.01 – 现在】仿肌肉反射的双足机器人直立抗扰策略研究(国家基金)

双足机器人稳定直立靠统一控制的方式实现。为抵抗复杂扰动,模型被不断扩充,算法越亦复杂,导致控制器负担增大,而实际效果却不明显,研究陷入瓶颈。人体直立抗扰策略的形成不只是脑控制的结果,肌肉反射也发挥着重要作用。肌肉反射可独立于脑,控制关节自发抵抗扰动,降低脑的负担。本项目通过研究人体踝关节肌肉反射控制机制,提出一种直立抗扰策略,使机器人踝关节可自行抵抗微小外力扰动,减轻控制器负担。涉及控制理论与控制工程、检测技术与自动化装置。

  【2015.05 – 现在】机器人关节作动器设计(横向课题)

机器人关节作动器是机器人各组件中的核心元件。本项目旨在设计一款基于串联弹性原理的机器人关节作动器,实现精准的位置及力控制,增强机器人关节性能。涉及控制理论与控制工程、检测技术与自动化装置。

  【2012.06 – 2015.03】实时外骨骼康复系统研究(博士课题)

  [a]  提出一种基于人体肌电信号的上肢运动识别算法。该算法仅通过上臂肌肉的肌电信号即可识别上肢伸展弯曲,前臂内转外转以及手腕前曲背曲动作。

  [b]  设计一种基于前臂肌电信号的手指连续伸展弯曲运动识别算法。

  [c]  基于已提出的上肢运动识别算法,通过建立骨骼-肌肉模型并采用优化的Hill类肌肉模型,量化了上肢肌电信号与上肢运动角度之间的关系,并提出了一种上肢连续运动识别算法。通过该算法实现了外骨骼设备的双边控制。该控制方式将运用在双边康复训练中。

  [d]  基于已建立的骨骼-肌肉模型,仅通过采集到的上肢肌电信号,实现了人体上肢与外部环境之间交互力的测量。

  [e]  结合Kinect传感器,Phantom Premium触觉设备,设计一套实时远程上肢交互力评价系统。

  发表论文                                              

  期刊论文

  庞牧野, 李明闻, 向馗, 等. 人体直立平衡过程中踝关节的反射和阻抗控制[J]. 华中科技大学学报: 自然科学版, 2017 (10): 49-53.

  庞牧野, 王金凤, 傅剑, 向馗. 基于表面肌电的人体与环境交互力预测,华中科技大学学报(自然科学版), 2015, 43(s1): 372-375(380). (EI)

  Shuxiang Guo, Muye Pang, Baofeng Gao, Hideyuki Hirata, Hidenori Ishihara, “Comparison of sEMG based Feature Extraction and Motion Classification Methods for Upper-limb Movement”, Sensors, Vol.15, pp. 9022-9038, 2015. (SCI)

  Muye Pang, Shuxiang Guo, Hidenori Ishihara, Hideyuki Hirata, “Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane”, Journal of Medical and Biological Engineering(JMBE), Vol 35, No. 2, pp 165-177, 2015. (SCI)

  Muye Pang, Shuxiang Guo, Zhibin Song, “Study on the sEMG driven Upper Limb Exoskeleton Rehabilitation Device in Bilateral Rehabilitation”, Journal of Robotics and Mechatronics, Vol. 24, No. 4, pp. 585-594, 2012. (EI)

  Zhibin Song, Shuxiang Guo, Muye Pang, Songyuan Zhang, Nan Xiao, Baofeng Gao and Liwei Shi, “Implementation of Resistance Training Using an Upper-Limb Exoskeleton Rehabilitation Device in Elbow Joint”, Journal of Medical and Biological Engineering(JMBE), Vol. 34, No. 2, pp.188-196, 2014. (SCI)

  国际会议论文

  Muye Pang, Shuxiang Guo, Songyuan Zhang, “Prediction of Interaction Force using EMG for Characteristic Evaluation of Touch and Push Motions”, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pp. 2099-2104, December 11, 2015. (EI检索)

  Muye Pang, Shuxiang Guo, Songyuan Zhang,“Interaction force transfer for characteristic evaluation of touch motion”, 2014 IEEE International Conference on Mechatronics and Automation (ICMA 2014), pp. 1237-1242, 2014. (EI检索)

  Guo, Shuxiang, Pang, Muye; Sugi, Youichirou1; Nakatsuka, Yuta. “Study on the comparison of three different upper limb motion recognition methods”, 2014 IEEE International Conference on Information and Automation, ICIA 2014, p 208-212, October 21, 2014. (EI检索)

  Muye Pang and Shuxiang Guo, “A Novel Method for Elbow Joint Continuous Prediction using EMG and Musculoskeletal Model”, Proceedings of 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO 2013), pp. 1240-1245, Shenzhen, China, December 2013. (EI检索)

  Muye Pang, Shuxiang Guo, Songyuan Zhang, “Finger Joint Continuous Interpretation based on sEMG Signals and Muscular Model”, Proceedings of 2013 IEEE International Conference on Mechatronics and Automation, pp.1435-1440, August 4-7, Takamatsu, Japan, 2013. (EI检索)

  Muye Pang, Shuxiang Guo, Zhibin Song and Songyuan Zhang, “sEMG Signal and Hill model based Continuous Prediction for Hand Grasping Motion”, Proceedings of 2013 ICME International Conference on Complex Medical Engineering (ICME CME 2013), pp.329-333, May. 25-28, Beijing, China, 2013. (EI检索)

  Muye Pang, Shuxiang Guo, Zhibin Song and Songyuan Zhang, “A Surface EMG Signals-based Real-time Continuous Recognition for the Upper Limb Multi-motion”, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.1984-1989, August 5-8, Chengdu, China, 2012. (EI检索)

  Muye Pang, Hui Li, Songsong Li and Bo Wang, “Study on the Speed Control Method for Three Axes High Speed Engraving Machine based on Embedded System”, Proceedings of the 2011 IEEE International Conference on Mechatronics and Automation, pp. 1611-1616, August 7-10, Beijing, China, 2011. (EI检索)

  Shuxiang Guo, Chunhua Guo, Muye Pang, “A Novel Feature Extraction Method for sEMG Signals using Image Processing”, Proceedings of 2013 IEEE International Conference on Mechatronics and Automation, pp.1765-1770, August 4-7, Takamatsu, Japan, 2013. (EI检索)

  Songyuan Zhang, Shuxiang Guo, Muye Pang, “Performance Evaluation of a Novel Master-slave Rehabilitation System”, Proceedings of 2013 IEEE International Conference on Mechatronics and Automation, pp.141-145, August 4-7, Takamatsu, Japan, 2013. (EI检索)

  Shuxiang Guo, Songyuan Zhang, Zhibin Song and Muye Pang, “Development of a Human Upper Limb-like Robot for Master-slave Rehabilitation”, Proceedings of 2013 ICME International Conference on Complex Medical Engineering (ICME CME 2013), pp.693-696, May. 25-28, Beijing, China, 2013. (EI检索)

  Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang, “Recognition of Motion of Human Upper Limb using SEMG in Real Time: Towards Bilateral Rehabilitation”, Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012), pp.1404-1408, Dec. 11-Dec. 14, Guangzhou, China, 2012. (EI检索)

  Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang, “Study on Recognition of Upper Limb Motion Pattern Using Surface EMG Signals for Bilateral Rehabilitation”, Proceedings of 23rd 2012 International Symposium on Micro-NanoMechatronics and Human Science, pp.425-430, Nov. 4-Nov. 7, Nagoya, Japan, 2012. (EI检索)

  Zhibin Song, Shuxiang Guo, Muye Pang and Songyuan Zhang, “ULERD-based Active Training for Upper Limb Rehabilitation”, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.569-574, August 5-8, Chengdu, China, 2012. (EI检索)

  Shuxiang Guo, Songyuan Zhang, Zhibin Song and Muye Pang, “Design of a Master-slave Rehabilitation System using Self-tuning Fuzzy PI Controller”, Proceedings of 2012 IEEE International Conference on Mechatronics and Automation, pp.2088-2092, August 5-8, Chengdu, China, 2012. (EI检索)

  Shuxiang Guo, Songyuan Zhang, Zhibin Song, Muye Pang and Yuta Nakatsuka, “Preliminary Study on Upper Limb Movement Identification based on sEMG Signal”, Proceedings of the 2012 ICME International Conference on Complex Medical Engineering, pp. 683-688, July 1 - 4, Kobe, Japan. (EI检索)

  Songyuan Zhang, Shuxiang Guo, Muye Pang and Mohan Qu, “Training Model-based Master-slave Rehabilitation Training Strategy using the Phantom Premium and an Exoskeleton Device,” Proceedings of the 2014 ICME International Conference on Complex Medical Engineering, pp. 105-110, June 26-29, Taiwan, 2014. (EI检索)