ROBOT-TO-HUMAN HANDOVER IN A COMFORTABLE AND FRIENDLY MANNER, 187-195.

Li-Ming Li, Jing Zhao, and Chao-Jie Yan

References

  1. [1] I.S. Howard, J.N. Ingeram, and K.P. Kording, Statistics ofnatural movements are reflected in motor errors, Journal ofNeurophysiology, 102(3), 2009, 1902–1910.
  2. [2] F. Zacharias, Workspace comparisons of setup configurations for human-robot interaction, IEEE/RSJ InternationalConference on Intelligent Robots and Systems, IROS, Taipei,Taiwan, 2010, 3117–3122.
  3. [3] S. Yun, A gaze control of socially interactive robots in multiple-person interaction, Robotica, 35(11), 2007, 2122–2138.
  4. [4] E.A. Sisbot and L.F. Marin-urias, Synthesizing robot motionsadapted to human presence: A planning and control frameworkfor safe and socially acceptable robot motions, InternationalJournal of Social Robotics, 2(3), 2010, 329–343.
  5. [5] J. Mainprice, Sharing effort in planning human-robot handovertasks, IEEE International Symposium on Robot and HumanInteractive Communication, RO-MAN, Paris, France, 2012,764–770.
  6. [6] H. Admoni, A. Dragan, S.S. Srinivasa, and B. Scassellati,Deliberate delays during robot-to-human handovers improvecompliance with gaze communication, 9th Annual ACM/IEEEInt. Conf. on Human–Robot Interaction, Bielefeld, 2014, 49–56.
  7. [7] J.C. Perry, J.M. Powell, and J. Rosen, Isotropy of an upperlimb exoskeleton and the kinematics and dynamics of thehuman arm, Applied Bionics and Biomechanics, 6(2), 2009,175–191.
  8. [8] E.A. Sisbot, Spatial reasoning for human robot interaction,IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS,CA, 2007, 2281–2287.
  9. [9] A. Alostaz and B. Hamed, Optimized automated trackingof a moving object with a robotic eye system, Control andIntelligent Systems, 44(1), 2016, 18–26.
  10. [10] T.R. Rangaswamy, J. Shanmugam, and K.P. Mohammed,Adaptive fuzzy tuned PID controller for combustion of utilityboiler, Control and Intelligent Systems, 33(1), 2005, 63–71.
  11. [11] Z. Al-Hamouz, S.F. Faisal, and S. Al-Sharif, Application ofparticle swarm optimization algorithm for optimal reactivepower planning, Control and Intelligent Systems, 35(1), 2007,66–72.
  12. [12] B. Xie and J. Zhao, A new criterion for redundancy resolutionof human arm in reaching tasks, IEEE/ASME Int. Conf. onAdvanced Intelligent Mechatronics, NSW, 2013, 1066–1071.
  13. [13] F. Gravez and O. Bruneau, Analytical and automatic modeling of digital humanoids, International Journal of HumanoidRobotics, 2(3), 2005, 337–359.
  14. [14] Z. Li and J. Liu, Adaptive impedance control of human–robotcooperation using reinforcement learning, IEEE Transactionson industrial electronics, 64(10), 2017, 8013–8022.
  15. [15] A. Belkadi, H. Oulhadj, and Y. Touati, On the robust PIDadaptive controller for exoskeletons: A particle swarm optimization based approach, Applied Soft Computing, 60(10),2017, 87–100.
  16. [16] L. Chelsea and B. Katie, Smooth RRT-Connect: An extensionof RRT-Connect for practical use in robots, IEEE Int. Conf. onTechnologies for Practical Robot Applications, Woburn, MA,2013, 11–18.
  17. [17] M. Murooka, Global planning of whole-body manipulation byhumanoid robot based on transition graph of object motion andcontact switching, Advanced Robotics, 31(6), 2017, 322–340.
  18. [18] B. Xie and J. Zhao, Generating human-like movements forrobotic arms, Mechanism and Machine Theory, 81(1), 2014,107–128.
  19. [19] V. Caggiano, A biomimetic approach to mobility distributionfor a human-like redundant arm, IEEE Int. Conf. on BiomedicalRobotics and Biomechatronics, Pisa, 2006, 365–375.
  20. [20] C. Landsiedel, V. Rieser, and M. Walter, A review of spatialreasoning and interaction for real-world robotics, AdvancedRobotics, 31(5), 2017, 222–242.

Important Links:

Go Back