Human-robot interaction

Plaisant et al. [2000] developed a robotic toy with which children could interactively create and replay stories assisting with physical and developmental problems. Yanco et al. [2004] evaluated human-robot interaction at a robotics competition using a tailored set of usability criteria developed by Scholtz [2002] that can be applied to a broad range of robotic applications. 

Yanco H.A., Drury J.L., and Sholtz J. 2004. Beyond usability evaluation analysis of human-robot interaction at a major robotics competition. Human-Computer Interaction 19 1,2. 

Forlizzi, J. and DiSalvo, C. 2006. Service robots in the domestic environment A study of the Roomba vacuum in the home. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, HRI 06, Salt Lake City, 2-4 March, 258-256. New York ACM. 

Young, J. E., Sung, J., Voida, A. et al. 2011. Evaluating human-robot interaction Focusing on the holistic interaction experience. International Journal of Social Robotics 3 53-67. 

Thrun, S. Toward a framework for human-robot interaction. Human-Computer Interaction 19(1), 9-24 (2004)... 

Dcemoto, S., Amor, H.B., Minato, T., Jung, B., Ishiguro, H. Physical human-robot interaction Mutual learning and adaptation. IEEE Robotics and Automation Magazine 19, 24-35 (2012)... 

Rani, R, Liu, C., Sarkar, N., Vanman, E., 2006. An empirical study of machine learning techniques for affect recognition in human-robot interaction. Pattern Anal. Appl. 9, 58—69. 

In the second category we can find back-drivable serial arms that can be manually positioned by surgeons. Transparency, which quantifies the ability of a robot to follow human movements without requiring any human-perceptible resistive force drive, is one of the major issues in the field of human-robot interaction for assistance in manipulation tasks [23]. Cooperatively controlled robotic systems are used in robotic surgery, e.g., the... 

Although interaction between humans and robots is of immense importance, it typically has a soft theoretical background. Human-robotic interaction, as it is typically called, includes a wide range of research. For example, tasks must be coordinated to take advantage of the strengths of both humans and robots theory must scale well with larger teams humans must not become overloaded or bored and external influences, such as deciding if UAVs will have the ability to make actionable decisions or planetary rovers will be able to make scientific decisions, must be taken into consideration. 

Abstract— Estimation of muscie force is needed for monitoring or control purposes in many studies and applications that include direct human invoivement such as control of prosthetic arms and human-robot interaction. A new model is introduced to estimate the force of muscie from the EMG signals. Estimation is based on Hammerstein-Wiener Model which consists of three biocks. These biocks are used to describe the nonlinearity of input and output and iinear behavior of the model. The nonlinear network is designed base on the sigmoid network. The introduced modei is trained by some data sets which are recorded from different peopie and tested by some other data sets. The simuiation resuits show iow error rate between measured force and estimated force. 

UMSs and robots are primarily designed for autonomous operation. Autonomy is characterized into levels of autonomy by factors, such as mission complexity, environmental difficulty, and level of human-robot interaction to accomphsh the missions. The two primary levels of autonomy are fully autonomous and semiautonomous. Finer-grained autonomy level designations can also be established and applied as necessary. The two levels of autonomy are defined as follows ... 

Haddadin, S., Albu-Schaffer, A., Hirzinger, G. Safety evaluation of physical human-robot interaction via crash-testing. In Robotics Science and Systems Conference (RSS 2007), Atlanta, USA, pp. 217-224 (2007)... 

Parusel, S., Haddadin, S., Albu-Sch, A. Modular state-based behavior control for safe human-robot interaction A lightweight control architecture for a lightweight robot. In IEEE Int. Conf. on Robotics and Automation (ICRA 2011), Shanghai, China, pp. 4298-4305 (2011)... 

Buike, J. L., Murphy, R. R. (2004). Human-robot interaction in USAR technical search Two heads are better than one. In Proceedings of the IEEE International Workshop on Robot and Human Interactive Communication, (pp. 307-312). Kurashiki, Japan IEEE Press. 

Casper, J., Murphy, R. R. (2003). Human-robot interactions duringthe robot-assisted urban search and rescue response atthe world trade center. IEEE Transactions on Systems, Man, and Cybernetics. PartB, Cybernetics, 33(3), 367-385. doi 10.1109/ TSMCB.2003.811794... 

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