Research Progress and Development Trend of the Safety of Human-robot Interaction Technology

doi:10.3901/JME.2020.03.016

Abstract

Abstract: Human-Robot integration is the focus of future life, smart factories, and so on. It bears the burden of building a new industrial system and measuring the level of national scientific and technological innovation. Focusing on the key technologies of human-computer safety interaction, the current research progress is summarized around the structural design,compliance control,environment perception, behavioral learning and decision-making of the communicator systematically sorted out the hot and difficult issues. The realization of human-computer security interaction at this stage is summarized. The prospects for future development are pointed out. The purpose of this research is to promote the understanding of key technologies in common areas and promote the comprehensive development of related disciplines.

Key words: human-robot interaction, collision detection, intention recognition, compliance control, motion control, safety

CLC Number:

TP242

JIA Jidong, ZHANG Minglu. Research Progress and Development Trend of the Safety of Human-robot Interaction Technology[J]. Journal of Mechanical Engineering, 2020, 56(3): 16-30.

References

[1] SHEIKHOLESLAMI S,MOON A J,CROFT E A. Cooperative gestures for industry:Exploring the efficacy of robot hand configurations in expression of instructional gestures for human-robot interaction[J]. The International Journal of Robotics Research,2017,36(5-7):699-720.
[2] PORTUGAL D,ALVITO P,CHRISTODOULOU E,et al. A study on the deployment of a service robot in an elderly care center[J]. International Journal of Social Robotics,2019,11(2):317-341.
[3] DE STEFANO M,MISHRA H,BALACHANDRAN R,et al. Multi-rate tracking control for a space robot on a controlled satellite:A passivity-based strategy[J]. IEEE Robotics and Automation Letters,2019,4(2):1319-1326.
[4] 王田苗,陶永. 我国工业机器人技术现状与产业化发展战略[J]. 机械工程学报,2014,50(9):1-13. WANG Tianmiao,TAO Yong. Research status and industrialization development strategy of Chinese industrial robot[J]. Journal of Mechanical Engineering,2014,50(9):1-13.
[5] 王国彪,陈殿生,陈科位,等. 仿生机器人研究现状与发展趋势[J]. 机械工程学报,2015,51(13):27-44. WANG Guobiao,CHEN Diansheng,CHEN Kewei,et al. The current research status and development strategy on biomimetic robot[J]. Journal of Mechanical Engineering,2015,51(13):27-44.
[6] 高峰,郭为忠. 中国机器人的发展战略思考[J]. 机械工程学报,2016,52(7):1-5. GAO Feng,GUO Weizhong. Thinking of the development strategy of robots in China[J]. Journal of Mechanical Engineering,2016,52(7):1-5.
[7] KEBRIA P M,AL-WAIS S,ABDI H,et al. Kinematic and dynamic modelling of UR5 manipulator[C]//2016 IEEE International Conference on Systems,Man,and Cybernetics (SMC),9-12 Oct. 2016,Budapest,Hungary. IEEE,2016:4229-4234.
[8] BAHRIN M A K,OTHMAN M F,AZLI N H N,et al. Industry 4.0:A review on industrial automation and robotic[J]. Jurnal Teknologi,2016,78(6-13):137-143.
[9] Rethink Robotics. Sawyer-redefining robotics and manufacturing-rethink robotics[EB/OL]. USA:Rethink Robotics[2019-02-20]. Available:http://www.rethinkrobotics.com/sawyer3.
[10] GUIZZO E. Employee of the month. Every month[Top Tech 2017] [J]. IEEE Spectrum,2017,54(1):34-35.
[11] IREGUI S,DE SCHUTTER J,AERTBELIËN E. Constraint-based robot control for BMI applications[C]//38th Benelux Meeting on Systems and Control,19-21 Mar. 2019,Lommel,Belgium. 2019:159-159.
[12] SUGIHARA T,NAKAMURA Y. Whole-body cooperative balancing of humanoid robot using COG Jacobian[C]//2002 IEEE/RSJ International Conference on Intelligent Robots and Systems,30 Sept.-4 Oct. 2002,Lausanne,Switzerland,Switzerland. IEEE,2002:2575-2580.
[13] SHAURIA R L A,SAIKIB K. Sensor integration and fusion for autonomous screwing task by dual-manipulator hand robot[J]. International Symposium on Robotics and Intelligent Sensors 2012(IRIS 2012),41:1412-1420.
[14] CREMER S,MASTROMORO L,POPA D O. On the performance of the Baxter research robot[C]//2016 IEEE International Symposium on Assembly and Manufacturing (ISAM),21-22 Aug. 2016,Fort Worth,TX,USA. IEEE,2016:106-111.
[15] KIRSCHNER D,VELIK R,YAHYANEJAD S,et al. YuMi,come and play with Me! A collaborative robot for piecing together a tangram puzzle[C]//International Conference on Interactive Collaborative Robotics. Springer,Cham,2016:243-251.
[16] HISAO T,HITOSHI N,YOSHINORI K,et al. Recognition of objects indicated by deictic pronouns for helper robots[C]//2006 SICE-ICASE International Joint Conference,18-21 Oct. 2006,Busan,South Korea. IEEE,2006:1437-1440.
[17] FUCHS M,BORST C,GIORDANO P R,et al. Rollin'Justin-design considerations and realization of a mobile platform for a humanoid upper body[C]//2009 IEEE International Conference on Robotics and Automation,12-17 May 2009,Kobe,Japan. IEEE,2009:4131-4137.
[18] JAIN A,KEMP C C. Pulling open doors and drawers:Coordinating an omni-directional base and a compliant arm with equilibrium point control[C]//2010 IEEE International Conference on Robotics and Automation,3-7 May 2010,Anchorage,AK,USA. IEEE,2010:1807-1814.
[19] NIMA R,MARY-ANNE W. Smooth robot motion with an Optimal Redundancy Resolution for PR2 robot based on an analytic inverse kinematic solution[C]//2015 IEEE-RAS 15th International Conference on Humanoid Robots(Humanoids),3-5 Nov. 2015,Seoul,South Korea. IEEE,2015:338-345.
[20] SCHWARZ M,RODEHUTSKORS T,SCHREIBER M,et al. Hybrid driving-stepping locomotion with the wheeled-legged robot Momaro[C]//2016 IEEE International Conference on Robotics and Automation (ICRA),16-21 May 2016,Stockholm,Sweden. IEEE,2016:5589-5595.
[21] HIROSE M,OGAWA K. Honda humanoid robots development[J]. Philosophical Transactions of the Royal Society A:Mathematical,Physical and Engineering Sciences,2006,365(1850):11-19.
[22] FENG S,WHITMAN E,XINJILEFU X,et al. Optimization based full body control for the atlas robot[C]//2014 IEEE-RAS International Conference on Humanoid Robots,18-20 Nov. 2014,Madrid,Spain. IEEE,2014:120-127.
[23] STENTZ A,HERMAN H,KELLY A,et al. CHIMP,the CMU highly intelligeng mobile platform[J]. Journal of Field Robotics,2015,32(2):209-228.
[24] HONG S,LEE Y,PARK K H,et al. Dynamics based motion optimization and operational space control with an experimental rescue robot,HUBO T-100[C]//2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM),7-11 July 2015,Busan,South Korea. IEEE,2015:773-778.
[25] ASIMOV I. Runaround[J]. Astounding Science Fiction,1942,29(1):94-103.
[26] OBERER S,SCHRAFT R D. Robot-dummy crash tests for robot safety assessment[C]//Robotics and Automation,2007 IEEE International Conference on,10-14 April 2007,Roma,Italy. IEEE,2007:2934-2939.
[27] HADDADIN S,ALBU-SCHÄFFER A,HIRZINGER G. Safety evaluation of physical human-robot interaction via crash-testing[J]. Robotics:Science and Systems,2007,3:217-224.
[28] HADDADIN S,ALBU-SCHÄFFER A,HIRZINGER G. Requirements for safe robots:Measurements,analysis and new insights[J]. The International Journal of Robotics Research,2009,28(11-12):1507-1527.
[29] HADDADIN S,HADDADIN S,KHOURY A,et al. On making robots understand safety:Embedding injury knowledge into control[J]. The International Journal of Robotics Research,2012,31(13):1578-1602.
[30] POVSE B,KORITNIK D,BAJD T,et al. Correlation between impact-energy density and pain intensity during robot-man collision[C]//Biomedical Robotics and Biomechatronics(BioRob),2010 3rd IEEE RAS and EMBS International Conference on,26-29 Sept. 2010,Tokyo,Japan. IEEE,2010:179-183.
[31] FRAUNHOFER I F F. Determination of verified thresholds for safe human-robot collaboration[EB/OL]. Fraunhofer Institute for Factory Operation and Automation IFF[2019-02-20]. http://iff.fraunhofer.de.
[32] HADDADIN S. Towards safe robots:Approaching Asimov's 1st law[M]. Springer,2013.
[33] HADDADIN S,ALBU-SCHAFFER A,DE LUCA A,et al. Collision detection and reaction:A contribution to safe physical human-robot interaction[C]//2008 IEEE/RSJ International Conference on Intelligent Robots and Systems,22-26 Sept. 2008,Nice,France. IEEE,2008:3356-3363.
[34] PARK J J,SONG J B. Collision analysis and evaluation of collision safety for service robots working in human environments[C]//2009 International Conference on Advanced Robotics,22-26 June 2009,Munich,Germany. IEEE,2009:1-6.
[35] International Organization for Standardization. ISO.10218-1:2011:Robots and robotic devices-Safety requirements for industrial robots-Part 1:Robots[S]. Geneva,Switzerland:International Organization for Standardization,2011.
[36] International Organization for Standardization. ISO.10218-2:2011:Robots and robotic devices-Safety requirements for industrial robots-Part 2:Robot systems and integration[S]. Geneva,Switzerland:International Organization for Standardization,2011.
[37] International Organization for Standardization. ISO.13482-2014 Robots and robotic devices-Safety requirements for personal care robots[S]. Geneva,Switzerland:International Organization for Standardization,2014.
[38] International Organization for Standardization. ISO.ISO/TS 15066 Robots and robotic devices-Collaborative robots[S]. International Organization for Standardization,2016.
[39] American National Standards Institute. ANSI/RIA R15.06-1999:American National Standard for Industrial Robots and Robot Systems,Safety Requirements[S]. Robotic Industries Association,1999.
[40] Robotic Industries Association. ANSI/RIA R15.06:2012 Safety Requirements for industrial robots and robot systems[S]. Ann Arbor:Robotic Industries Association,2012.
[41] VILLARONGA E F. New Trends in Medical and Service Robots[M]. Springer,2016.
[42] HADDADIN S,DE LUCA A,ALBU-SCHÄFFER A. Robot collisions:A survey on detection,isolation,and identification[J]. IEEE Transactions on Robotics,2017,33(6):1292-1312.
[43] MI Z,YUAN C M,MA X,et al. Tool orientation optimization for 5-axis machining with C-space method[J]. The International Journal of Advanced Manufacturing Technology,2017,88(5-8):1243-1255.
[44] LACEVIC B,OSMANKOVIC D,ADEMOVIC A. Burs of free c-space:A novel structure for path planning[C]//2016 IEEE International Conference on Robotics and Automation (ICRA),IEEE,2016:70-76.
[45] LÓPEZ-CUSTODIO P C,MÜLLER A,RICO J M,et al. A synthesis method for 1-DOF mechanisms with a cusp in the configuration space[J]. Mechanism and Machine Theory,2019,132:154-175.
[46] YANG X,YANG W,ZHANG H,et al. A new method for robot path planning based artificial potential field[C]//2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA),5-7 June 2016,Hefei,China. IEEE,2016:1294-1299.
[47] DE LUCA A,FLACCO F. Integrated control for pHRI:Collision avoidance,detection,reaction and collaboration[C]//Biomedical Robotics and Biomechatronics(BioRob),2012 4th IEEE RAS&EMBS International Conference on. IEEE,2012:288-295.
[48] ZHANG N,ZHANG Y,MA C,et al. Path planning of six-DOF serial robots based on improved artificial potential field method[C]//2017 IEEE International Conference on Robotics and Biomimetics (ROBIO). 5-8 Dec. 2017,Macau,China. IEEE,2017:617-621.
[49] POLVERINI M P,ZANCHETTIN A M,ROCCO P. Real-time collision avoidance in human-robot interaction based on kinetostatic safety field[C]//2014 IEEE/RSJ International Conference on Intelligent Robots and Systems,14-18 Sept. 2014,Chicago,IL,USA. IEEE,2014:4136-4141.
[50] LASOTA P A,ROSSANO G F,SHAH J A. Toward safe close-proximity human-robot interaction with standard industrial robots[C]//2014 IEEE International Conference on Automation Science and Engineering (CASE),18-22 Aug. 2014,Taipei,Taiwan,China. IEEE,2014:339-344.
[51] RYBSKI P,ANDERSON-SPRECHER P,HUBER D,et al. Sensor fusion for human safety in industrial workcells[C]//2012 IEEE/RSJ International Conference on Intelligent Robots and Systems,7-12 Oct. 2012,Vilamoura,Portugal. IEEE,2012:3612-3619.
[52] FLACCO F,KRÖGER T,DE LUCA A,et al. A depth space approach to human-robot collision avoidance[C]//2012 IEEE International Conference on Robotics and Automation,14-18 May 2012,Saint Paul,MN,USA. IEEE,2012:338-345.
[53] AZORIN-LÓPEZ J,SAVAL-CALVO M,FUSTER-GUILLÓ A,et al. A predictive model for recognizing human behaviour based on trajectory representation[C]//2014 International Joint Conference on Neural Networks (IJCNN),6-11 July 2014,Beijing,China. IEEE,2014:1494-1501.
[54] AVANZINI G B,CERIANI N M,ZANCHETTIN A M,et al. Safety control of industrial robots based on a distributed distance sensor[J]. IEEE Transactions on Control Systems Technology,2014,22(6):2127-2140.
[55] VOGEL C,WALTER C,ELKMANN N. A projection-based sensor system for safe physical human-robot collaboration[C]//2013 IEEE/RSJ International Conference on Intelligent Robots and Systems,3-7 Nov. 2013,Tokyo,Japan. IEEE,2013:5359-5364.
[56] LASOTA P A,SHAH J A. Analyzing the effects of human-aware motion planning on close-proximity human-robot collaboration[J]. Human factors,2015,57(1):21-33.
[57] SPONG M W,HUTCHINSON S A,VIDYASAGAR M. Robot modeling and control[J]. IEEE Control Systems,2006,26(6):113-115.
[58] OZGOLI S,TAGHIRAD H D. A survey on the control of flexible joint robots[J]. Asian Journal of Control,2006,8(4):332-344.
[59] KHAN Z A,CHACKO V,NAZIR H. A review of friction models in interacting joints for durability design[J]. Friction,2017,5(1):1-22.
[60] FLACCO F,DE LUCA A. Residual-based stiffness estimation in robots with flexible transmissions[C]//2011 IEEE International Conference on Robotics and Automation. 9-13 May 2011,Shanghai,China. IEEE,2011:5541-5547.
[61] FLACCO F,DE LUCA A. Stiffness estimation and nonlinear control of robots with variable stiffness actuation[J]. IFAC Proceedings Volumes,2011,44(1):6872-6879.
[62] MENARD T,GRIOLI G,BICCHI A. A real time robust observer for an Agonist-Antagonist Variable Stiffness Actuator[C]//2013 IEEE International Conference on Robotics and Automation,6-10 May 2013,Karlsruhe,Germany. IEEE,2013:3988-3993.
[63] MÉNARD T,GRIOLI G,BICCHI A. A stiffness estimator for agonistic-antagonistic variable-stiffness-actuator devices[J]. IEEE Transactions on Robotics,2014,30(5):1269-1278.
[64] JIA J,ZHANG M,ZANG X,et al. Dynamic parameter identification for a manipulator with joint torque sensors based on an improved experimental design[J]. Sensors,2019,19(10):2248.
[65] JIN H,LIU Z,ZHANG H,et al. A dynamic parameter identification method for flexible joints based on adaptive control[J]. IEEE/ASME Transactions on Mechatronics,2018,23(6):2896-2908.
[66] LICHIARDOPOL S,VAN DE WOUW N,NIJMEIJER H. Robust disturbance estimation for human-robotic comanipulation[J]. International Journal of Robust and Nonlinear Control,2014,24(12):1772-1796.
[67] WAHRBURG A,ROBERTSSON A,MATTHIAS B,et al. Improving contact force estimation accuracy by optimal redundancy resolution[C]//2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),9-14 Oct. 2016,Daejeon,South Korea. IEEE,2016:3735-3741.
[68] WAHRBURG A,MORARA E,CESARI G,et al. Cartesian contact force estimation for robotic manipulators using Kalman filters and the generalized momentum[C]//2015 IEEE International Conference on Automation Science and Engineering (CASE),24-28 Aug. 2015,Gothenburg,Sweden. IEEE,2015:1230-1235.
[69] WAHRBURG A,BÖS J,LISTMANN K D,et al. Motor-current-based estimation of cartesian contact forces and torques for robotic manipulators and its application to force control[J]. IEEE Transactions on Automation Science and Engineering,2017,15(2):879-886.
[70] HU J,XIONG R. Contact force estimation for robot manipulator using semiparametric model and disturbance Kalman filter[J]. IEEE Transactions on Industrial Electronics,2018,65(4):3365-3375.
[71] MAKAROV M,CALDAS A,GROSSARD M,et al. Adaptive filtering for robust proprioceptive robot impact detection under model uncertainties[J]. IEEE/ASME Transactions on Mechatronics,2014,19(6):1917-1928.
[72] BRIQUET-KERESTEDJIAN N,MAKAROV M,GROSSARD M,et al. Generalized momentum based-observer for robot impact detection-Insights and guidelines under characterized uncertainties[C]//2017 IEEE Conference on Control Technology and Applications (CCTA),27-30 Aug. 2017,Mauna Lani,HI,USA. IEEE,2017:1282-1287.
[73] SHARKAWY A N,ASPRAGATHOS N. Human-robot collision detection based on neural networks[J]. Int. J. Mech. Eng. Robot. Res.,2018,7(2):150-157.
[74] INDRI M,TRAPANI S,LAZZERO I. A general procedure for collision detection between an industrial robot and the environment[C]//2015 IEEE 20th Conference on Emerging Technologies & Factory Automation,8-11 Sept. 2015,Luxembourg,Luxembourg. IEEE,2015:1-8.
[75] INDRI M,TRAPANI S,LAZZERO I. Development of a virtual collision sensor for industrial robots[J]. Sensors,2017,17(5):1148.
[76] SOTOUDEHNEJAD V,TAKHMAR A,KERMANI M R,et al. Counteracting modeling errors for sensitive observer-based manipulator collision detection[C]//2012 IEEE/RSJ International Conference on Intelligent Robots and Systems,7-12 Oct. 2012,Vilamoura,Portugal. IEEE,2012:4315-4320.
[77] SOTOUDEHNEJAD V,KERMANI M R. Velocity-based variable thresholds for improving collision detection in manipulators[C]//2014 IEEE International Conference on Robotics and Automation (ICRA),31 May-7 June 2014,Hong Kong,China. IEEE,2014:3364-3369.
[78] JUNG B,CHOI H R,KOO J C,et al. Collision detection using band designed disturbance observer[C]//2012 IEEE International Conference on Automation Science and Engineering (CASE),20-24 Aug. 2012,Seoul,South Korea. IEEE,2012:1080-1085.
[79] JUNG B,KOO J C,CHOI H R,et al. Human-robot collision detection under modeling uncertainty using frequency boundary of manipulator dynamics[J]. J. Mech. Sci. Tech.,2014,28(11):4389-4395.
[80] HO C N,SONG J B. Collision detection algorithm robust to model uncertainty[J]. International Journal of Control,Automation and Systems,2013,11(4):776-781.
[81] ERDEN M S,TOMIYAMA T. Human-intent detection and physically interactive control of a robot without force sensors[J]. IEEE Transactions on Robotics,2010,26(2):370-382.
[82] CHO C N,KIM J H,KIM Y L,et al.Collision detection algorithm to distinguish between intended contact and unexpected collision[J]. Advanced Robotics,2012,26(16):1825-1840.
[83] GERAVAND M,FLACCO F,DE LUCA A. Human-robot physical interaction and collaboration using an industrial robot with a closed control architecture[C]//2013 IEEE International Conference on Robotics and Automation,6-10 May 2013,Karlsruhe,Germany. IEEE,2013:4000-4007.
[84] LI Y,GE S S. Human-robot collaboration based on motion intention estimation[J]. IEEE/ASME Transactions on Mechatronics,2014,19(3):1007-1014.
[85] GOLZ S,OSENDORFER C,HADDADIN S. Using tactile sensation for learning contact knowledge:Discriminate collision from physical interaction[C]//2015 IEEE International Conference on Robotics and Automation (ICRA),26-30 May 2015,Seattle,WA,USA. IEEE,2015:3788-3794.
[86] PARK D I,KIM H,PARK C,et al. Automatic assembly method with the passive compliant device[C]//2017 11th Asian Control Conference (ASCC),17-20 Dec. 2017,Gold Coast,QLD,Australia. IEEE,2017:347-348.
[87] HUANG T H,HUANG H P,KUAN J Y. Mechanism and control of continuous-state coupled elastic actuation[J]. J. Intell. Robot Syst.,2014,74(3-4):571-587.
[88] MIURA K,KATSURA S. Experimental validation of forward-and back-drivable characteristics on series clutch actuators using acceleration control[C]//2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM),12-15 July 2016,Banff,AB,Canada. IEEE,2016:716-720.
[89] FICUCIELLO F,VILLANI L,SICILIANO B. Variable impedance control of redundant manipulators for intuitive human-robot physical interaction[J]. IEEE Transactions on Robotics,2015,31(4):850-863.
[90] LI X,PAN Y,CHEN G,et al. Adaptive human-robot interaction control for robots driven by series elastic actuators[J]. IEEE Transactions on Robotics,2017,33(1):169-182.
[91] JEONG H,CHEONG J,KWON S J. Dual-mode variable stiffness actuator using two-stage worm gear transmission for safe robotic manipulators[J]. International Journal of Precision Engineering and Manufacturing,2015,16(8):1761-1769.
[92] KAMADAN A,KIZILTAS G,PATOGLU V. Co-design strategies for optimal variable stiffness actuation[J]. IEEE/ASME Transactions on Mechatronics,2017,22(6):2768-2779.
[93] GREBENSTEIN M,CHALON M,FRIEDL W,et al. The hand of the DLR hand arm system:Designed for interaction[J]. International Journal of Robotics Research,2012,31(13):1531-1555.
[94] RAIBERT M H,CRAIG J J. Hybrid position/force control of manipulators[J]. Journal of Dynamic Systems,Measurement,and Control,1981,103(2):126-133.
[95] HOGAN N. Impedance control:An approach to manipulation:Part II-Implementation[J]. Journal of Dynamic Systems,Measurement,and Control,1985,107(1):8-16.
[96] SENTIS L,KHATIB O. Prioritized multi-objective dynamics and control of robots in human environments[C]//4th IEEE/RAS International Conference on Humanoid Robots,2004,10-12 Nov. 2004,Santa Monica,CA,USA,USA. IEEE,2004:764-780.
[97] ALBU-SCHAFFER A,HIRZINGER G. Cartesian impedance control techniques for torque controlled light-weight robots[C]//Proceedings 2002 IEEE International Conference on Robotics and Automation,11-15 May 2002,Washington,DC,USA. IEEE,2002,1:657-663.
[98] PLATT R,ABDALLAH M,WAMPLER C. Multiple-priority impedance control[C]//2011 IEEE International Conference on Robotics and Automation,9-13 May 2011,Shanghai,China. IEEE,2011:6033-6038.
[99] DE LUCA A,FERRAJOLI L. Exploiting robot redundancy in collision detection and reaction[C]//2008 IEEE/RSJ International Conference on Intelligent Robots and Systems,22-26 Sept. 2008,Nice,France. IEEE,2008:3299-3305.
[100] SADEGHIAN H,KESHMIRI M,VILLANI L,et al. Null-space impedance control with disturbance observer[C]//2012 IEEE/RSJ International Conference on Intelligent Robots and Systems,7-12 Oct. 2012,Vilamoura,Portugal. IEEE,2012:2795-2800.
[101] SADEGHIAN H,VILLANI L,KESHMIRI M,et al.Task-space control of robot manipulators with null-space compliance[J]. IEEE Transactions on Robotics,2014,30(2):493-506.
[102] RYOO M S. Human activity prediction:Early recognition of ongoing activities from streaming videos[C]//2011 International Conference on Computer Vision,6-13 Nov. 2011,Barcelona,Spain. IEEE,2011:1036-1043.
[103] RYOO M S,FUCHS T J,XIA L,et al. Robot-centric activity prediction from first-person videos:What will they do to me?[C]//2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI),2-5 March 2015,Portland,OR,USA. IEEE,2015:295-302.
[104] KOPPULA H S,SAXENA A. Anticipating human activities using object affordances for reactive robotic response[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(1):14-29.
[105] MAINPRICE J,BERENSON D. Human-robot collaborative manipulation planning using early prediction of human motion[C]//2013 IEEE/RSJ International Conference on Intelligent Robots and Systems,3-7 Nov. 2013,Tokyo,Japan. IEEE,2013:299-306.
[106] PÉREZ-D'ARPINO C,SHAH J A. Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification[C]//2015 IEEE International Conference on Robotics and Automation (ICRA),26-30 May 2015,Seattle,WA,USA. IEEE,2015:6175-6182.
[107] DOMINEY P F,METTA G,NORI F,et al. Anticipation and initiative in human-humanoid interaction[C]//Humanoids 2008-8th IEEE-RAS International Conference on Humanoid Robots,1-3 Dec. 2008,Daejeon,South Korea. IEEE,2008:693-699.
[108] NIKOLAIDIS S,LASOTA P,ROSSANO G,et al. Human-robot collaboration in manufacturing:Quantitative evaluation of predictable,convergent joint action[C]//IEEE ISR 2013,24-26 Oct. 2013,Seoul,South Korea. IEEE,2013:1-6.
[109] NIKOLAIDIS S,RAMAKRISHNAN R,GU K,et al.Efficient model learning from joint-action demonstrations for human-robot collaborative tasks[C]//Proceedings of the 10th Annual ACM/IEEE International Conference on Human-robot Interaction,2-5 March 2015,Portland,OR,USA. IEEE,2015:189-196.
[110] LI K,FU Y. Prediction of human activity by discovering temporal sequence patterns[J]. IEEE T. Pattern Anal.,2014,36(8):1644-1657.
[111] JIANG Y,SAXENA A. Modeling high-dimensional humans for activity anticipation using Gaussian process latent CRFs[C]//Robotics:Science and Systems,2014:1-8.
[112] MAINPRICE J,HAYNE R,BERENSON D. Predicting human reaching motion in collaborative tasks using inverse optimal control and iterative re-planning[C]//2015 IEEE International Conference on Robotics and Automation (ICRA),26-30 May 2015,Seattle,WA,USA. IEEE,2015:885-892.
[113] TAKANO W,IMAGAWA H,NAKAMURA Y. Prediction of human behaviors in the future through symbolic inference[C]//2011 IEEE International Conference on Robotics and Automation,9-13 May 2011,Shanghai,China. IEEE,2011:1970-1975.
[114] XIAO S,WANG Z,FOLKESSON J. Unsupervised robot learning to predict person motion[C]//2015 IEEE International Conference on Robotics and Automation (ICRA),26-30 May 2015,Seattle,WA,USA. IEEE,2015:691-696.
[115] KUDERER M,KRETZSCHMAR H,SPRUNK C,et al. Feature-based prediction of trajectories for socially compliant navigation[C]//Robotics:Science and Systems,MIT Press,2012:504.
[116] WALKER J,GUPTA A,HEBERT M. Patch to the future:Unsupervised visual prediction[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,23-28 June 2014,Columbus,OH,USA. 2014:3302-3309.
[117] GOODFELLOW I,POUGET-ABADIE J,MIRZA M,et al. Generative adversarial nets[C]//Advances in Neural Information Processing Systems,2014:2672-2680.
[118] MAO X,LI Q,XIE H,et al. Least squares generative adversarial networks[C]//Proceedings of the IEEE International Conference on Computer Vision,22-29 Oct. 2017,Venice,Italy. IEEE,2017:2794-2802.
[119] CRESWELL A,WHITE T,DUMOULIN V,et al. Generative adversarial networks:An overview[J]. IEEE Signal Processing Magazine,2018,35(1):53-65.
[120] 戴建生. 机构学与机器人学的几何基础与旋量代数[M]. 北京:高等教育出版社,2014. DAI Jiansheng. Geometrical foundation s and screw algebra for mechanisms and robotics[M]. Beijing:Higher Education Press,2014.
[121] WEI Y,XU Q. An overview of micro-force sensing techniques[J]. Sensors and Actuators A:Physical,2015,234:359-374.