Humans interacting with multi-robot systems: a natural affect-based approach
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Lorenzo Sabattini | Cristian Secchi | Cesare Fantuzzi | Valeria Villani | Beatrice Capelli | C. Fantuzzi | Lorenzo Sabattini | C. Secchi | Valeria Villani | Beatrice Capelli
[1] Francesco Mondada,et al. The e-puck, a Robot Designed for Education in Engineering , 2009 .
[2] Antonio Luque-Casado,et al. Cognitive Performance and Heart Rate Variability: The Influence of Fitness Level , 2013, PloS one.
[3] David Ball,et al. Low Cost Localisation for Agricultural Robotics , 2013, ICRA 2013.
[4] Randal W. Beard,et al. Consensus seeking in multiagent systems under dynamically changing interaction topologies , 2005, IEEE Transactions on Automatic Control.
[5] Barbara Lewandowska-Tomaszczyk,et al. Affective Robotics: Modelling and Testing Cultural Prototypes , 2014, Cognitive Computation.
[6] Glenn F. Wilson,et al. Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural Networks , 2003, Hum. Factors.
[7] Lionel Tarassenko,et al. Quantifying errors in spectral estimates of HRV due to beat replacement and resampling , 2005, IEEE Transactions on Biomedical Engineering.
[8] Chang S Nam,et al. A meta-analysis of human-system interfaces in unmanned aerial vehicle (UAV) swarm management. , 2017, Applied ergonomics.
[9] Nilanjan Sarkar,et al. Anxiety detecting robotic system – towards implicit human-robot collaboration , 2004, Robotica.
[10] Lorenzo Sabattini,et al. A Natural Infrastructure-Less Human–Robot Interaction System , 2017, IEEE Robotics and Automation Letters.
[11] Dana Kulic,et al. Affective State Estimation for Human–Robot Interaction , 2007, IEEE Transactions on Robotics.
[12] Raffaello D'Andrea,et al. Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses , 2007, AI Mag..
[13] Lawrence H. Kim,et al. Human Perception of Swarm Robot Motion , 2017, CHI Extended Abstracts.
[14] Francesco Mondada,et al. Electroencephalography as implicit communication channel for proximal interaction between humans and robot swarms , 2016, Swarm Intelligence.
[15] Dick de Waard,et al. Monitoring drivers' mental workload in driving simulators using physiological measures. , 2010, Accident; analysis and prevention.
[16] U. Rajendra Acharya,et al. Heart rate variability: a review , 2006, Medical and Biological Engineering and Computing.
[17] P. Melillo,et al. Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination , 2011, Biomedical engineering online.
[18] Lorenzo Sabattini,et al. Smartwatch-Enhanced Interaction with an Advanced Troubleshooting System for Industrial Machines , 2016 .
[19] Patrick E. McSharry,et al. Advanced Methods And Tools for ECG Data Analysis , 2006 .
[20] Antonio Franchi,et al. Bilateral Teleoperation of Groups of Mobile Robots With Time-Varying Topology , 2012, IEEE Transactions on Robotics.
[21] Lorenzo Sabattini,et al. MATE Robots Simplifying My Work: The Benefits and Socioethical Implications , 2017, IEEE Robotics & Automation Magazine.
[22] Yancy Diaz-Mercado,et al. Human–Swarm Interactions via Coverage of Time-Varying Densities , 2017 .
[23] Lorenzo Sabattini,et al. Use of Virtual Reality for the Evaluation of Human-Robot Interaction Systems in Complex Scenarios , 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
[24] Lars Karlsson,et al. Autonomous Transport Vehicles: Where We Are and What Is Missing , 2015, IEEE Robotics & Automation Magazine.
[25] Lorenzo Sabattini,et al. Interacting With a Mobile Robot with a Natural Infrastructure-Less Interface , 2017, ArXiv.
[26] Fabio Oleari,et al. The PAN-Robots Project: Advanced Automated Guided Vehicle Systems for Industrial Logistics , 2018, IEEE Robotics & Automation Magazine.
[27] Lorenzo Sabattini,et al. Conducting multi-robot systems: Gestures for the passive teleoperation of multiple slaves , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[28] P. Sleight,et al. Effects of controlled breathing, mental activity and mental stress with or without verbalization on heart rate variability. , 2000, Journal of the American College of Cardiology.
[29] E. D. de Geus,et al. Validity of (Ultra-)Short Recordings for Heart Rate Variability Measurements , 2015, PloS one.
[30] Jacob Buur,et al. Getting a grip on tangible interaction: a framework on physical space and social interaction , 2006, CHI.
[31] Zdenko Kovacic,et al. Decentralized Control of Multi-AGV Systems in Autonomous Warehousing Applications , 2016, IEEE Transactions on Automation Science and Engineering.
[32] David Ball,et al. Robotics for Sustainable Broad-Acre Agriculture , 2013, FSR.
[33] Magnus Egerstedt,et al. A control lyapunov function approach to human-swarm interactions , 2015, 2015 American Control Conference (ACC).
[34] Gianluca Antonelli,et al. Decentralized time-varying formation control for multi-robot systems , 2014, Int. J. Robotics Res..
[35] Roderich Groß,et al. Human-Robot Swarm Interaction with Limited Situational Awareness , 2016, ANTS Conference.
[36] Marco Dorigo,et al. Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human–swarm interaction , 2016, Swarm Intelligence.
[37] U. Nussinovitch,et al. Reliability of Ultra‐Short ECG Indices for Heart Rate Variability , 2011, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[38] Adam W. Hoover,et al. Real-time detection of workload changes using heart rate variability , 2012, Biomed. Signal Process. Control..
[39] Magnus Egerstedt,et al. Deformable-medium affordances for interacting with multi-robot systems , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[40] Hatice Gunes,et al. Continuous Analysis of Affect from Voice and Face , 2011, Computer Analysis of Human Behavior.
[41] P. Melillo,et al. Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[42] Lorenzo Sabattini,et al. Natural interaction based on affective robotics for multi-robot systems , 2017, 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).
[43] Vincenzo Lippiello,et al. Attentional multimodal interface for multidrone search in the Alps , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[44] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[45] Kilseop Ryu,et al. Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic , 2005 .
[46] Yen-Chen Liu,et al. Decentralized estimation and control for bilateral teleoperation of mobile robot network with task abstraction , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[47] K. Yana,et al. Heart rate variability change induced by the mental stress: the effect of accumulated fatigue , 1996, Proceedings of the 1996 Fifteenth Southern Biomedical Engineering Conference.
[48] Greg Mori,et al. “You two! Take off!”: Creating, modifying and commanding groups of robots using face engagement and indirect speech in voice commands , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[49] Antonio Franchi,et al. The flying hand: A formation of UAVs for cooperative aerial tele-manipulation , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[50] Lorenzo Sabattini,et al. Implementation of Coordinated Complex Dynamic Behaviors in Multirobot Systems , 2015, IEEE Transactions on Robotics.
[51] Lorenzo Sabattini,et al. A Framework for Affect-Based Natural Human-Robot Interaction , 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
[52] Nilanjan Sarkar,et al. Online stress detection using psychophysiological signals for implicit human-robot cooperation , 2002, Robotica.
[53] J. Thayer,et al. eview meta-analysis of heart rate variability and neuroimaging studies : Implications or heart rate variability as a marker of stress and health , 2012 .
[54] Luca Maria Gambardella,et al. Human-swarm interaction using spatial gestures , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[55] Rossana Castaldo,et al. Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis , 2015, Biomed. Signal Process. Control..
[56] T. Hastie,et al. Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort , 2016, bioRxiv.
[57] Walter Ukovich,et al. Decentralized deadlock-free control for AGV systems , 2015, 2015 American Control Conference (ACC).
[58] Marcus Vollmer,et al. A robust, simple and reliable measure of heart rate variability using relative RR intervals , 2015, 2015 Computing in Cardiology Conference (CinC).
[59] Luca Maria Gambardella,et al. Wearable multi-modal interface for human multi-robot interaction , 2016, 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).
[60] Randal W. Beard,et al. Distributed Consensus in Multi-vehicle Cooperative Control - Theory and Applications , 2007, Communications and Control Engineering.
[61] U. Wisløff,et al. Accuracy of Heart Rate Watches: Implications for Weight Management , 2016, PloS one.
[62] Katia P. Sycara,et al. Human Interaction With Robot Swarms: A Survey , 2016, IEEE Transactions on Human-Machine Systems.
[63] Vincenzo Lippiello,et al. Implicit robot selection for human multi-robot interaction in Search and Rescue missions , 2016, 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).