△方宝富
发布时间:2020-09-04 浏览:1514

个人信息

姓     名

方宝富

性     别

出生年月


最终学位

博士

毕业学校

哈尔滨工业大学



从事专业

计算机应用技术

职务


所属院系

计算机科学与技术系



所在部门

计算机软件与理论研究所

职称

副教授

 联系方式

办公电话


E-mail

fangbf@hfut.edu.cn

通讯地址

合肥工业大学计算机与信息学院翡翠科技楼A505/C501

邮编

230009

 简历

方宝富,男,博士,副教授,合肥工业大学计算机与信息学院硕士生导师。中国人工智能学会机器人文化艺术专委会副主任委员,中国人工智能学会青年委员会常务委员,教育部“多源海量信息处理”创新团队核心成员,安徽省人工智能学会理事,安徽省高等学校计算机教育研究会理事,安徽省机器人竞赛技术委员会主任。2012-2013年度当选中国人工智能学会青年委员会合肥分论坛主席。2015年入选江苏省“双创人才计划”。20164-20174月以合肥工业大学青年骨干教师,赴美国UNT大学访问12个月。

2000年合肥工业大学焊接工艺与设备毕业,获工学学士学位(本科阶段入选合肥工业大学“2+2”班,修完了全部计算机科学与技术专业课程);2003年合肥工业大学计算机软件与理论专业硕士研究生毕业,获工学硕士学位;20134月哈尔滨工业大学计算机应用技术专业博士研究生毕业,获工学博士学位。

主要研究兴趣是情感机器人、服务机器人、多机器人系统、机器学习。参加多项863973项目和国家自然科学基金项目。主持1863课题子项目、1项中央高校基本科研业务费专项基金,2项安徽省自然科学基金、1项教育部高教司-微软产学研基金、1项教育部-谷歌产学研基金。同时也与企业积极开展产学研合作,与江西中航工业洪都、合肥四创电子、安徽省徽商集团、合肥凌翔科技、江苏久祥电子和深圳乐聚等企业联合开发智能服务机器人、基于移动平台等相关项目多项。

近年来在各类期刊和会议上发表论文70多篇,其中高质量论文42篇,第一作者或通讯作者35篇,授权国家发明专利2项,实用新型专利1项,软著1项。

更多情况见:robot.hfut.edu.cn

 研究方向

情感机器人、服务机器人、多机器人系统、机器学习

当前在研项目:

1)主持安徽省自然科学基金(青年)“基于量子博弈论的情感机器人协作与竞争技术研究(1308085QF)”(2013/06-2015/06);

2)主持安徽省自然科学基金项目“任务分配中情感机器人模型研究(1708085MF146)”(2017/06-2019/06);

3)作为协作单位负责人承担四川省科技支撑计划项目“机器人视听觉智能协同感知关键技术研究(2016GZ0389)”,(2016/01-2018/12);

4)主持企业委托项目:“机器人交互软件平台设计与开发(W2015JSKF0580)”(2015/12-2020/12

5)主持企业委托项目“基于Aelos机器人的比赛任务系统设计与开发(W2017JSKF0493)”(2017/09-2019/12);

 教学工作

(一)讲授课程

机器人技术:校内第一个开创竞赛类课程的教师(2002年),国内第二个开展机器人足球竞赛课程的教师(仅落后于中科大);

程序设计基础:2002-

人工智能2006-

程序设计基础实践2003-

(二)教研项目

1)主持教育部-谷歌产学合作协同育人项目创新创业教育合作项目《机器人技术教改与实践》(2017010030602017-2018);

2)主持教育部-微软产学合作专业综合改革项目(二类)《基于计算思维的〈机器人技术〉课程教学改革研究及实践》(2015-2016);

3)主持合肥工业大学教学改革项目《基于课程竞赛的信息类大学生实践创新能力培养机制研究》(XJ2012522012-2014);

4)主持2018年合肥工业大学创新创业精品课程建设项目《机器人技术》课程建设(2018cxkc102019-2020);

参加安徽省教学改革重点项目《计算思维的技术特征在软件系列课程中的表达体系研究及教学实践》(2012-2015);参加《程序设计基础》国家精品课程建设(2011-2015);参加《程序设计基础》安徽省精品课程建设(2006-2010);

()教材

方宝富,王浩《机器人足球仿真》合肥工业大学出版社2011.8

(四)指导大学生创新实践项目

历年来指导国家级大学生创新项目4项,协助指导3项;指导校级大学生创新实践项目7项。

 获奖情况

12018.10中国国人工智能学会、教育部高等学校大学计算机课程教学指导委员会中国人工智能与机器人技术创新育人成果一等奖1项;

22016.12合肥工业大学合肥工业大学首届“合力杯”创新创业校长奖优秀指导教师(全校一共10名,且后续没有新的评审);

32014年合肥工业大学“三育人”先进工作者;

42008-2018年国际RoboCup联合会连续10年打入RoboCup世界杯总决赛仿真2D和仿真3D比赛项目,获得2010年仿真3D比赛项目的季军;

52009-2018中国人工智能学会教育大学计算机课程基础教学指导委员会中国机器人及人工智能大赛一等奖30项,二等奖18项,三等奖17项;

62002-2018中国自动化学会教育部自动化类教学指导委员会RoboCup机器人大赛中国公开赛一等奖11项,二等奖12项,三等奖10项;

72015-2018安徽省教育厅安徽省机器人大赛一等奖14项,二等奖9项,三等奖13项。

82013年合肥工业大学教学成果一等奖1项、安徽省教学成果特等奖1项;

92012年合肥工业大学教学成果二等奖1项、安徽省教学成果三等奖1项;

112011年中国人工智能学会青年论坛优秀青年科技成果奖;

122010年合肥工业大学“三育人”先进工作者

132008年合肥工业大学教学成果一等奖和安徽省教学成果一等奖

142006年“斛兵杯”竞赛优秀指导教师

 主要论著

2018

1.Baofu Fang*, Quan Zhang, Hao Wang, Xiaohui Yuan. Personalitydriven task allocation for emotional robot team. InternationalJournal of Machine Learning and Cybernetics. 2018,9(12):1955-1962.PDF.

2.BaofuFang, Xiaoping Guo, Zaijun Wang, Yong Li, Mohamed Elhoseny,Xiaohui Yuan. Collaborative Task Assignment of Interconnected,Affective Robots towards Autonomous Healthcare Assistant.FutureGeneration Computer Systems (2018.10).https://doi.org/10.1016/j.future.2018.09.069.

3.BaofuFang*, Lu Fang. Concise feature pyramid region proposal networkfor multi-scale object detection. The Journal of Supercomputing.(2018.8). https://doi.org/10.1007/s11227-018-2569-1. PDF.

4.HaoWang, Senbing Wei. Baofu Fang*. Facial expression recognitionusing iterative fusion of MO-HOG and deep features. The Journal ofSupercomputing. (2018.8).https://doi.org/10.1007/s11227-018-2554-8. PDF.

5.Zhongpei Wang, Hao Wang, Baofu Fang, Chengjun Xie*. Support vectorcorrelation filter with long-term tracking. Signal, Image andVideo Processing.2018,12(11):1541-1549

6.Hao Wang, Yuanyuan Fan, Baofu Fang*, Shuanglu Dai. Generalizedlinear discriminant analysis based on euclidean norm for gaitrecognition.International Journal of Machine Learning andCybernetics.2018,9(4).pp.569-576. PDF.

7.MingLanFu, Hao Wang*, Baofu Fang.Utility distribution strategy of thetask agents in coalition skill games.Algorithms.2018,11(5), pp.1-17. doi:10.3390/a11050064.

8.Hao Wang,MingLan Fu, Baofu Fang, et al. Task Selection Strategiesof self-interested Robots in Skill Games. International Journal ofWireless and Mobile Computing, 2018, 14(3): 258-298.

9.Minglan FU, Hao WANG, Baofu FANG. Coalitional Skill Games forSelf-interested Robots with SVO[J]. International Journal ofRobotics and Automation, 2018, 33(5): 1-11.

2017

1.Fang, BaoFu*; Wang, Zaijun; Li, Yong; Wang, Hao. Emotionalcontagion and personality driven multi-robot task allocationalgorithm.2017 International Conference on Security, PatternAnalysis, and Cybernetics, SPAC 2017, pp 503-508.https://dx.doi.org/10.1109/SPAC.2017.8304330, February 27, 2018.PDF.ISTP.

2.Zhu, Jinling; Fang, Baofu.Emotional robot pursuit task allocationalgorithm based on emotional constraint. ACM Proceedings of 2017International Conference on Robotics and Artificial Intelligence,ICRAI 2017.p 110-115,https://dx.doi.org/10.1145/3175603.3175624.December 29, 2017. PDF.ISTP.

3.Sun, Bohan; Wang, Hao; Fang, Baofu*; Ling, Zhaolong; Lin,JiehuaTask Allocation in Emotional Robot Pursuit Based onSelf-organizing Algorithm. Robot, 2017, 39(5), p 680-687, 2017.

孙博寒,王浩,方宝富,.基于自组织算法的情感机器人追捕任务分配[J].机器人,2017, 39(5):680-687. PDF .

4.Baofu Fang*,Zaijun, Wang, Jinjin Chen, Hao Wang, Lu Fang.3-Layerspecific pedestrian continuous tracking framework . Proceedings -2017 Chinese Automation Congress, CAC 2017, v 2017-January, p7334-7339. https://dx.doi.org/10.1109/CAC.2017.8244103. December29, 2017. PDF. ISTP.

5.Baofu Fang, Jinling Zhu, Hao Zhang, Hao Wang, Zaijun Wang. MultiSelf-interested robot pursuit based on quantum game theory .Proceedings - 2017 Chinese Automation Congress, CAC 2017, v2017-January, p 7368-7373.https://dx.doi.org/10.1109/CAC.2017.8244109. December 29, 2017.PDF.ISTP.

2016

1.MinglanFu, Hao Wang, Baofu Fang, Xiaoling Huang, . Study onagent-updating algorithms for coalition skill games . 2016 9thInternational Symposium on Computational Intelligence and Design,ISCID 2016, v 2, p112-117.https://dx.doi.org/10.1109/ISCID.2016.2035 PDF.

2.方宝富,李勇,王浩.基于情绪感染的情感机器人任务分配算法研究.小型微型计算机系统,2016,37(08): 1730-1734.


3.王浩,范媛媛,方宝富.基于轮廓分析的广义步态识别算法研究.小型微型计算机系统,2016,37(07): 1504-1507

2015

1.Baofu Fang* ,Zaijun Wang, Lu Chen, Hao Wang. Research on pursuittask allocation algorithm of emotional robot based onpersonality.2015 Chinese Automation Congress, CAC 2015, p 457-462,https://dx.doi.org/10.1109/CAC.2015.7382544.January 13, 2016. PDF.

2.HaoWang,Jinjin Chen, Baofu Fang, Shuanglu Dai.Human detection algorithmbased on edge symmetry. Advances in Intelligent Systems andComputing, v 345, p 719-729, 2015, Robot Intelligence Technologyand Applications 3 - Edition of the Selected Papers from the 3rdInternational Conference on Robot Intelligence Technology andApplications. https://dx.doi.org/10.1007/978-3-319-16841-8_65.PDF.

2014

1.王浩,张浩,方宝富*.基于量子最小化博弈的多机器人追捕[J].模式识别与人工智能.2014.27(12):1117-1123.

2.FangBaofu*, Chen Lu, Wang Hao, Dai Shuanglu, Zhong qiubo. Research onMultirobot Pursuit Task Allocation Algorithm Based on EmotionalCooperation Factor [J]. The Scientific WorldJournal.2014,(10):1-6.

3.WangHao,Meng Fanhui,Baofu Fang. Iterative Human Pose Estimation basedon A New Part Appearance Model. Applied Mathematics &Information Sciences. 2014,8(1L): 311-317.

2013

1.WangHao, Ding lei, Fang Baofu, Yao Hongliang. Pursuers-coalitionconstruction algorithm in multi-robot pursuit-evasion game[J].Robot.2013.35(2):142-150.

2.WangHao, Dong Chao-Wei, Fang Bao-Fu.A novel multi pursuers-one evadergame based on Quantum game theory [J].Information TechnologyJournal.2013.12(12):58-65.

3.WangHao, Zhang Quan-yi, Fang bao-fu, Fang Shuai. The maximumsimilarity matching emotion model based on mapping between statespace and probability space [J]. Pattern Recognition andArtificial Intelligence.2013, 26(6):552-560.

4.WangZai-Jun, Fang Bao-Fu,Liu Wei. Multi-agent collaborative researchbased on an optimization method about multiple evaluation functionwith hybrid particle swarm with constraints [J].Applied Mechanicsand Material.2013.380-384:10-14

5.WangZai-Jun,Fang Bao-Fu,Shi Guo-Qiang.Omni-directional walking gaitand path planning for biped humanoid robot[J].InformationTechnology Journal.2013.12(6):60-67.

2012

1.FangBaofu, Pan Qishu, Hong Bingrong, Ding Lei, Cai Zesu. Constraintconditions of successful capture in multi-pursuers vs one-evadergames [J]. Robot. 2012.34(2):282-291.

2.FangBao-fu, Pan Qi-shu Hong Bing-rong, Ding Lei, Zhong Qiu-bo, ZhangZhao-sheng. Research on high speed evader vs. multi lower speedpursuers in multi pursuit-evasion games [J].Information TechnologyJournal. 2012.11(8):89-97.

3.FangBao-fu, Pan qi-shu, Hong bing-rong,Ding lei. A HierarchicalApproach Based on Fast Marching Method in Multi PlayerPursuit-Evasion Game[J]. Chinese Journal of Electronics.2012,21(1):59-63.

2011

1.FangBao-fu, Hong bing-rong, Pan qi-shu, Ding lei, Zhong qiu-bo, ZhangZhao-sheng. Research on Success Capture Condition of Unequal RobotCapability in Multi Pursuit-Evasion Games[J]. Int'l Transaction onComputer Science & Engineering. 2011,66(1):23-34.

2.FangBao-fu, Wu Shi-tang, Wang hao,Zhang Quan-yi. Research on RobotEmotional state Representation and Transformation [J]. Journal ofHarbin Institute of technology (New Series).2011, 18(1):21-25.

3.FangBaofu, Pan Qishu, Hong Bingrong, Ding Lei.Multi-playerpursuit-evasion game hierarchical approach based on activeregion[J]. Journal of Huazhong University of Science andTechnology (Natural Science Edition), 2011, 39(s2):335-339.

4.FangBao-fu, Pan Qi-shu, Hong Bing-rong, Zhong Qiu-bo, Wang Wei-guang.An Object Localization Algorithm Based on Omni-direction Visionand Front Monocular Vision[J]. Journal of Engineering Graphics.2011.32(3):6-12.

5.ZhangZhao-Sheng, Fang Bao-Fu, Gao Ming. Multi-agent collaboration basedon electromagnetic-node in RoboCup simulation 2D[J]. Journal ofHarbin Institute of Technology (New Series),2011,18(S1):95-99.

6.ZhangQing-Yuan, Fang Bao-fu, Dong Chao-Wei. Omnidirectional walkingpatterns planning based on linear inverted pendulum [J]. Journalof Harbin Institute of Technology (New Series),2011,18(S1): 63-66.

7.LiuWei, Wang Hao, Fang Bao-fu. RoboCup-Rescue Decision Making ProcessBased on Binary Particle Swarm Optimization[J]. Journal of GuangxiNormal University(Natural Science Edition).2011, 29(2):130-133.

8.MengFan-hui, Wang Hao, Fang Bao-fu, PENG Wei. Research andImplementation of Human Detection Based on Extended Histograms ofOriented Gradients. Journal of Guangxi Normal University(NaturalScience Edition).2011, 29(3):168-172.

9.ZhongQiubo, Pan Qishu, Hong, Bingrong, Fang Bao-fu,Piao Songhao.Onlinemotion planning for humanoid robot based on embedded visionsystem[J].Informatics (Ljubljana), 2011,35(2):251-258.

10.ZhongQiubo, Gao Chao,Fang Bao-fu .A novel algorithm of motion planningfor humanoid robot in complex environment[J]. Journal of HuazhongUniversity of Science and Technology (Natural Science Edition),2011, 39(S2):192-195.

11.ZhongQiubo, Piao Songhao,Fang Bao-fu, Hong Bingrong. Real-time gaitcontrol systems design for humanoid robots[J]. Journal of HuazhongUniversity of Science and Technology (Natural Science Edition),2011, 39(9):53-56.

2010

1.FangBao-fu, Wang Hao, Li Long. Research of mobile objects trackingbased on PEIA and local vision decision. Journal of HarbinInstitute of Technology, 2010, 41(s2): 231-235.

2.WangHao, Hu xiao-rong, Fang bao-fu. Target recognition of householdservice robot based on shape moment invariants[C].2010International Conference on Computer Application and SystemModeling, ICCASM 2010:82-85.

3.WangHao, Han wu-yan, Fang bao-fu. Research on zero moment point ofbiped robot[J]. Journal of Harbin Institute of Technology (NewSeries), 2010,17(S2):90-93 .

4.WangHao, Wang guo-qing, Fang bao-fu. Implementation of DribblingArithmetic Based on Threat Coefficient Artificial PotentialField[C]. 2010 International Forum on Computer Science-Technologyand Applications. IFCSTA 2010 Proceedings. 2010:74-79.

5.Wang,Hao, Fang Hui, Fang Bao-fu, Nian Shi-Rui. Local path planning ofhumanoid soccer robot based on monocular vision [J]. Journal ofHarbin Institute of Technology, 2010, 42(S2):236-240.

PiaoSonghao, Zhong Qiubo,Liu Yaqi,Fang Bao-fu. Real-time motionplanning for humanoid robot based on embedded vision system[C].2010 International Conference on Multimedia Technology, ICMT2010:1-4.

2009

1.FangBao-Fu, Wang Hao, Li Long. Research of mobile objects trackingbased on PEIA and local vision decision. Journal of HarbinInstitute of Technology, 2009, 41(s2): 231-235.

2.WangHao, Shang Li, Fang Bao-fu, LI Long. Research on Multi AgentSystem Based on Change Role and Application in RoboCup. Mini-microSystems, 2009,30(5): 959-962.

3.ShiGuoqiang, Wang Hao, Fang Bao-fu. Online Omnidirectional WalkingPatterns Generation for Biped Robot[C]. Proceedings of 9thInternational Conference on Electronic Measurement &Instruments.August 16-19, Beijing China. IEEE Press, 2009:856-861.