Abstract
This paper investigates the concept of legibility of a multi-robot system. Considering a group of mobile robots moving in the environment according to an artificial potential based control law, we study the effect of the choice of the control parameters on the legibility of the system. With the term legibility we refer to the ability of the multi-robot system to communicate to a user: in particular, we consider a user who shares the environment with the robots, and is requested to understand what is the goal position the multi-robot system is moving to. We analyze the effect of the choice of a few design parameters, named motion-variables, performing a set of user studies in a virtual reality setup, with experiments based on the central composite design method.
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Notes
- 1.
When not strictly necessary, we omit the dependence on time of the variables, e.g., \(V_i \left( t\right) = V_i\), for ease of notation.
- 2.
\(d_{ij} = \Vert x_i - x_j \Vert \) is the Euclidean distance between the i-th and the j-th robot.
References
Alonso-Mora, J., Lohaus, S.H., Leemann, P., Siegwart, R., Beardsley, P.: Gesture based human-multi-robot swarm interaction and its application to an interactive display. In: Proceedings of 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 5948–5953. IEEE (2015)
Capelli, B., Secchi, C., Sabattini, L.: Communication through motion: legibility of multi-robot systems. In: Proceedings of 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS). IEEE (2019)
Capelli, B., Villani, V., Secchi, C., Sabattini, L.: Understanding multi-robot systems: on the concept of legibility. In: Proceedings of 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE (2019)
Cheung, Y., Chung, J.S.: Cooperative control of a multi-arm system using semi-autonomous telemanipulation and adaptive impedance. In: Proceedings of 2009 International Conference on Advanced Robotics, pp. 1–7, June 2009
Cortés, J., Egerstedt, M.: Coordinated control of multi-robot systems: a survey. SICE J. Control Meas. Syst. Integr. 10(6), 495–503 (2017)
Dietz, G., Washington, P., Kim, L.H., Follmer, S., et al.: Human perception of swarm robot motion. In: Proceedings of 2017 CHI Conference on Extended Abstracts on Human Factors in Computing Systems, pp. 2520–2527. ACM (2017)
Flash, T., Hogan, N.: The coordination of arm movements: an experimentally confirmed mathematical model. J. Neurosci. 5(7), 1688–1703 (1985)
Franchi, A., Secchi, C., Son, H.I., Bulthoff, H.H., Giordano, P.R.: Bilateral teleoperation of groups of mobile robots with time-varying topology. IEEE Trans. Robot. 28(5), 1019–1033 (2012)
Glasauer, S., Huber, M., Basili, P., Knoll, A., Brandt, T.: Interacting in time and space: investigating human-human and human-robot joint action. In: Proceedings of 19th Annual IEEE International Symposium in Robot and Human Interactive Communication (RO-MAN), pp. 252–257. IEEE (2010)
Gromov, B., Gambardella, L.M., Di Caro, G.A.: Wearable multi-modal interface for human multi-robot interaction. In: Proceedings of 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), pp. 240–245. IEEE (2016)
Kolling, A., Walker, P., Chakraborty, N., Sycara, K., Lewis, M.: Human interaction with robot swarms: a survey. IEEE Trans. Hum.-Mach. Syst. 46(1), 9–26 (2016)
Kuram, E., Ozcelik, B., Bayramoglu, M., Demirbas, E., Simsek, B.T.: Optimization of cutting fluids and cutting parameters during end milling by using D-optimal design of experiments. J. Cleaner Prod. 42, 159–166 (2013)
Lasota, P.A., Fong, T., Shah, J.A., et al.: A survey of methods for safe human-robot interaction. Found. Trends® Robot. 5(4), 261–349 (2017)
May, A.D., Dondrup, C., Hanheide, M.: Show me your moves! Conveying navigation intention of a mobile robot to humans. In: Proceedings of 2015 European Conference on Mobile Robots (ECMR), pp. 1–6. IEEE (2015)
MohaimenianPour, S., Vaughan, R.: Hands and faces, fast: mono-camera user detection robust enough to directly control a UAV in flight. In: Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5224–5231. IEEE (2018)
Montgomery, D.C.: Design and Analysis of Experiments. Wiley, Hoboken (2017)
Nagi, J., Giusti, A., Gambardella, L.M., Di Caro, G.A.: Human-swarm interaction using spatial gestures. In: Proceedings of 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3834–3841. IEEE (2014)
Palafox, O., Spong, M.: Bilateral teleoperation of a formation of nonholonomic mobile robots under constant time delay. In: Proceeding of 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2821–2826, October 2009
Rodríguez-Seda, E.J., Troy, J.J., Erignac, C.A., Murray, P., Stipanović, D.M., Spong, M.W.: Bilateral teleoperation of multiple mobile agents: coordinated motion and collision avoidance. IEEE Trans. Control Syst. Technol. 18(4), 984–992 (2010)
Sabattini, L., Secchi, C., Capelli, B., Fantuzzi, C.: Passivity preserving force scaling for enhanced teleoperation of multirobot systems. IEEE Robot. Autom. Lett. 3(3), 1925–1932 (2018)
St Clair, A., Mataric, M.: How robot verbal feedback can improve team performance in human-robot task collaborations. In: Proceedings of 10th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 213–220. ACM (2015)
Szafir, D., Mutlu, B., Fong, T.: Communication of intent in assistive free flyers. In: Proceedings of 9th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 358–365. ACM (2014)
Szafir, D., Mutlu, B., Fong, T.: Communicating directionality in flying robots. In: Proceedings of 10th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 19–26. ACM (2015)
Villani, V., Capelli, B., Sabattini, L.: Use of virtual reality for the evaluation of human-robot interaction systems in complex scenarios. In: Proceedings of 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 422–427. IEEE (2018)
Villani, V., Sabattini, L., Riggio, G., Secchi, C., Minelli, M., Fantuzzi, C.: A natural infrastructure-less human-robot interaction system. IEEE Robot. Autom. Lett. 2(3), 1640–1647 (2017)
Villani, V., Sabattini, L., Secchi, C., Fantuzzi, C.: Natural interaction based on affective robotics for multi-robot systems. In: Proceedings of the IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Los Angeles, CA, USA, pp. 56 – 62, December 2017
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Capelli, B., Sabattini, L. (2020). Human-Friendly Multi-Robot Systems: Legibility Analysis. In: Ferraguti, F., Villani, V., Sabattini, L., Bonfè, M. (eds) Human-Friendly Robotics 2019. HFR 2019. Springer Proceedings in Advanced Robotics, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42026-0_2
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