Abstract
During the last 15 years, an increasing amount of works have investigated proactive robotic behavior in relation to Human-Robot Interaction (HRI). The works engage with a variety of research topics and technical challenges. In this paper a review of the related literature identified through a structured block search is performed. Variations in the corpus are investigated, and a definition of Proactive HRI is provided. Furthermore, a taxonomy is proposed based on the corpus and exemplified through specific works. Finally, a selection of noteworthy observations is discussed.
- Okada Akiho and Midori Sugaya. 2016. Impression evaluation for active behavior of robot in human robot interaction. In International conference on human-computer interaction. Springer, 83–95.Google ScholarCross Ref
- Muhammad Ali, Samir Alili, Matthieu Warnier, and Rachid Alami. 2009. An architecture supporting proactive robot companion behavior. In AISB 2009 Convention.Google Scholar
- Ella M Atkins. 2007. Physically-proximal human-robot collaboration for air and space applications. In Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems. 216–223.Google ScholarDigital Library
- Muhammad Awais and Dominik Henrich. 2012. Proactive premature intention estimation for intuitive human-robot collaboration. In 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 4098–4103.Google ScholarCross Ref
- Jimmy Baraglia, Maya Cakmak, Yukie Nagai, Rajesh Rao, and Minoru Asada. 2016. Initiative in robot assistance during collaborative task execution. In 2016 11th ACM/IEEE international conference on human-robot interaction (HRI). IEEE, 67–74.Google ScholarCross Ref
- Francesca Bianco and Dimitri Ognibene. 2019. Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures. In 2019 11th Computer Science and Electronic Engineering (CEEC). IEEE, 139–143.Google Scholar
- Baldin Llorens Bonilla and H Harry Asada. 2014. A robot on the shoulder: Coordinated human-wearable robot control using coloured petri nets and partial least squares predictions. In 2014 IEEE international conference on robotics and automation (ICRA). IEEE, 119–125.Google ScholarCross Ref
- Cynthia Breazeal, J Gray, G Hoffman, and M Berlin. 2004. Social robots: Beyond tools to partners. In RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No. 04TH8759). IEEE, 551–556.Google Scholar
- Ingar Brinck and Christian Balkenius. 2018. Mutual recognition in human-robot interaction: A deflationary account. Philosophy & Technology 33, 1 (2018), 53–70.Google ScholarCross Ref
- Antoine Bussy, Pierre Gergondet, Abderrahmane Kheddar, François Keith, and André Crosnier. 2012. Proactive behavior of a humanoid robot in a haptic transportation task with a human partner. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 962–967.Google ScholarCross Ref
- Javier Cámara, Kirstie L Bellman, Jeffrey O Kephart, Marco Autili, Nelly Bencomo, Ada Diaconescu, Holger Giese, Sebastian Götz, Paola Inverardi, Samuel Kounev, et al. 2017. Self-aware computing systems: Related concepts and research areas. In Self-Aware Computing Systems. Springer, 17–49.Google Scholar
- Cambridge University Press. [n. d.]. Proactive. In Dictionary.Cambridge.org. https://dictionary.cambridge.org/dictionary/english/proactiveGoogle Scholar
- Joao Cartucho, Rodrigo Ventura, and Manuela Veloso. 2018. Robust object recognition through symbiotic deep learning in mobile robots. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2336–2341.Google ScholarDigital Library
- Amedeo Cesta, Gabriella Cortellessa, Vittoria Giuliani, Federico Pecora, Riccardo Rasconi, Massimiliano Scopelliti, and Lorenza Tiberio. 2007. Proactive assistive technology: An empirical study. In IFIP Conference on Human-Computer Interaction. Springer, 255–268.Google ScholarCross Ref
- Raja Chatila. 2008. Towards cognitive robot companions. In 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 391–391.Google ScholarDigital Library
- Sandeep P Chinchali, Scott C Livingston, Mo Chen, and Marco Pavone. 2019. Multi-objective optimal control for proactive decision making with temporal logic models. The International Journal of Robotics Research 38, 12-13(2019), 1490–1512.Google ScholarDigital Library
- Kerstin Dautenhahn. 2007. Socially intelligent robots: dimensions of human–robot interaction. Philosophical transactions of the royal society B: Biological sciences 362, 1480 (2007), 679–704.Google Scholar
- Agostino De Santis, Bruno Siciliano, Alessandro De Luca, and Antonio Bicchi. 2008. An atlas of physical human–robot interaction. Mechanism and Machine Theory 43, 3 (2008), 253–270.Google ScholarCross Ref
- Inbal Deutsch, Hadas Erel, Michal Paz, Guy Hoffman, and Oren Zuckerman. 2019. Home robotic devices for older adults: Opportunities and concerns. Computers in Human Behavior 98 (2019), 122–133.Google ScholarDigital Library
- Andreea Dobra. 2014. General classification of robots. Size criteria. In 2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD). IEEE, 1–6.Google ScholarCross Ref
- Eleni Efthimiou, Stavroula-Evita Fotinea, Theodore Goulas, Maria Koutsombogera, Panagiotis Karioris, Anna Vacalopoulou, Isidoros Rodomagoulakis, Petros Maragos, Costas Tzafestas, Vassilis Pitsikalis, et al. 2016. The MOBOT rollator human-robot interaction model and user evaluation process. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 1–8.Google ScholarCross Ref
- Natascha Esau and Lisa Kleinjohann. 2011. Emotional robot competence and its use in robot behavior control. In Emotional Engineering. Springer, 119–142.Google Scholar
- David Feil-Seifer and Maja J Matarić. 2009. Toward socially assistive robotics for augmenting interventions for children with autism spectrum disorders. In Experimental robotics. Springer, 201–210.Google Scholar
- Yuan Feng, Emilia I Barakova, Suihuai Yu, Jun Hu, and GW Rauterberg. 2020. Effects of the level of interactivity of a social robot and the response of the augmented reality display in contextual interactions of people with dementia. Sensors 20, 13 (2020), 3771.Google ScholarCross Ref
- Alessandro Filippeschi, Lorenzo Peppoloni, Ioannis Kostavelis, Justyna Gerłowska, Emanuele Ruffaldi, Dimitris Giakoumis, Dimitrios Tzovaras, Konrad Rejdak, and Carlo Alberto Avizzano. 2018. Towards Skills Evaluation of Elderly for Human-Robot Interaction. In 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 886–892.Google Scholar
- Julia Fink, Séverin Lemaignan, Pierre Dillenbourg, Philippe Rétornaz, Florian Vaussard, Alain Berthoud, Francesco Mondada, Florian Wille, and Karmen Franinović. 2014. Which robot behavior can motivate children to tidy up their toys? Design and Evaluation of” Ranger”. In Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction. 439–446.Google ScholarDigital Library
- Dorothée François, Stuart Powell, and Kerstin Dautenhahn. 2009. A long-term study of children with autism playing with a robotic pet: Taking inspirations from non-directive play therapy to encourage children’s proactivity and initiative-taking. Interaction Studies 10, 3 (2009), 324–373.Google ScholarCross Ref
- Michael A Goodrich and Alan C Schultz. 2008. Human-robot interaction: a survey. Now Publishers Inc.Google Scholar
- Jürgen Graf, Stephan Puls, and Heinz Wörn. 2009. Incorporating novel path planning method into cognitive vision system for safe human-robot interaction. In 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns. IEEE, 443–447.Google Scholar
- Jesse Gray and Cynthia Breazeal. 2014. Manipulating mental states through physical action. International Journal of Social Robotics 6, 3 (2014), 315–327.Google ScholarCross Ref
- Andreas Hermann, Felix Mauch, Klaus Fischnaller, Sebastian Klemm, Arne Roennau, and Ruediger Dillmann. 2015. Anticipate your surroundings: Predictive collision detection between dynamic obstacles and planned robot trajectories on the GPU. In 2015 European Conference on Mobile Robots (ECMR). IEEE, 1–8.Google ScholarCross Ref
- Philipp Hock, Johannes Kraus, Marcel Walch, Nina Lang, and Martin Baumann. 2016. Elaborating feedback strategies for maintaining automation in highly automated driving. In Proceedings of the 8th international conference on automotive user interfaces and interactive vehicular applications. 105–112.Google ScholarDigital Library
- Chien-Ming Huang, Maya Cakmak, and Bilge Mutlu. 2015. Adaptive Coordination Strategies for Human-Robot Handovers. In Robotics: science and systems, Vol. 11. Rome, Italy.Google Scholar
- Rui Huang, Hong Cheng, Hongliang Guo, Xichuan Lin, Qiming Chen, and Fuchun Sun. 2016. Learning cooperative primitives with physical human-robot interaction for a HUman-Powered Lower EXoskeleton. In 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 5355–5360.Google ScholarDigital Library
- Rui Huang, Hong Cheng, Jing Qiu, and Jianwei Zhang. 2019. Learning physical human–robot interaction with coupled cooperative primitives for a lower exoskeleton. IEEE Transactions on Automation Science and Engineering 16, 4(2019), 1566–1574.Google ScholarCross Ref
- Takamasa Iio, Satoru Satake, Takayuki Kanda, Kotaro Hayashi, Florent Ferreri, and Norihiro Hagita. 2019. Human-Like Guide Robot that Proactively Explains Exhibits. International Journal of Social Robotics(2019), 1–18.Google Scholar
- Wanting Jin, Paolo Salaris, and Philippe Martinet. 2020. Proactive-Cooperative Navigation in Human-Like Environment for Autonomous Robots. In International Conference on Informatics in Control, Automation and Robotics.Google Scholar
- Takayuki Kanda, Dylan F Glas, Masahiro Shiomi, and Norihiro Hagita. 2009. Abstracting people’s trajectories for social robots to proactively approach customers. IEEE Transactions on Robotics 25, 6 (2009), 1382–1396.Google ScholarDigital Library
- Harmish Khambhaita and Rachid Alami. 2017. A human-robot cooperative navigation planner. In Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. 161–162.Google ScholarDigital Library
- Harmish Khambhaita and Rachid Alami. 2020. Viewing robot navigation in human environment as a cooperative activity. In Robotics Research. Springer, 285–300.Google Scholar
- Mahdi Khoramshahi and Aude Billard. 2020. A dynamical system approach for detection and reaction to human guidance in physical human–robot interaction. Autonomous Robots 44, 8 (2020), 1411–1429.Google ScholarDigital Library
- Ioannis Kostavelis, Dimitrios Giakoumis, Sotiris Malasiotis, and Dimitrios Tzovaras. 2015. RAMCIP: towards a robotic assistant to support elderly with mild cognitive impairments at home. In International Symposium on Pervasive Computing Paradigms for Mental Health. Springer, 186–195.Google Scholar
- Matthias Kraus, Nicolas Wagner, and Wolfgang Minker. 2020. Effects of Proactive Dialogue Strategies on Human-Computer Trust. In Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization. 107–116.Google ScholarDigital Library
- Woo Young Kwon and Il Hong Suh. 2010. Smart Action Selection Architecture Taking into account both Goal-orientedness and Proactivity. In 2nd International Symposium on New Frontiers in Human-Robot Interaction-A Symposium at the AISB 2010 Convention. 58–63.Google Scholar
- Woo Young Kwon and Il Hong Suh. 2011. Towards proactive assistant robots for human assembly tasks. In Proceedings of the 6th international conference on Human-robot interaction. 175–176.Google ScholarDigital Library
- Woo Young Kwon and Il Hong Suh. 2012. A temporal bayesian network with application to design of a proactive robotic assistant. In 2012 IEEE International Conference on Robotics and Automation. IEEE, 3685–3690.Google ScholarCross Ref
- Woo Young Kwon and Il Hong Suh. 2013. Proactive planning using a hybrid temporal influence diagram for human assistive robots. In 2013 IEEE International Conference on Robotics and Automation. IEEE, 1785–1791.Google ScholarCross Ref
- Woo Young Kwon and Il Hong Suh. 2014. Planning of proactive behaviors for human–robot cooperative tasks under uncertainty. Knowledge-Based Systems 72 (2014), 81–95.Google ScholarDigital Library
- Daniel A Lazar, Ramtin Pedarsani, Kabir Chandrasekher, and Dorsa Sadigh. 2018. Maximizing road capacity using cars that influence people. In 2018 IEEE Conference on Decision and Control (CDC). IEEE, 1801–1808.Google ScholarDigital Library
- Karen Leung, Edward Schmerling, Mengxuan Zhang, Mo Chen, John Talbot, J Christian Gerdes, and Marco Pavone. 2020. On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions. The International Journal of Robotics Research 39, 10-11(2020), 1326–1345.Google ScholarDigital Library
- Phoebe Liu, Dylan F Glas, Takayuki Kanda, and Hiroshi Ishiguro. 2018. Learning proactive behavior for interactive social robots. Autonomous Robots 42, 5 (2018), 1067–1085.Google ScholarDigital Library
- Rui Liu and Xiaoli Zhang. 2016. Fuzzy context-specific intention inference for robotic caregiving. International Journal of Advanced Robotic Systems 13, 5 (2016), 1729881416662780.Google ScholarCross Ref
- Rui Liu, Xiaoli Zhang, and Songpo Li. 2014. Use context to understand user’s implicit intentions in Activities of Daily Living. In 2014 IEEE International Conference on Mechatronics and Automation. IEEE, 1214–1219.Google Scholar
- Konrad Lorenz. 1981. The foundations of ethology. Springer verlag.Google Scholar
- Michal Luria, Rebecca Zheng, Bennett Huffman, Shuangni Huang, John Zimmerman, and Jodi Forlizzi. 2020. Social Boundaries for Personal Agents in the Interpersonal Space of the Home. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–12.Google ScholarDigital Library
- Guilherme Maeda, Aayush Maloo, Marco Ewerton, Rudolf Lioutikov, and Jan Peters. 2016. Anticipative Interaction Primitives for Human-Robot Collaboration.. In AAAI Fall Symposia.Google Scholar
- Harsh Maithani, Juan Antonio Corrales Ramon, and Youcef Mezouar. 2019. Predicting human intent for cooperative physical human-robot interaction tasks. In 2019 IEEE 15th International Conference on Control and Automation (ICCA). IEEE, 1523–1528.Google ScholarCross Ref
- Elias Matsas, George-Christopher Vosniakos, and Dimitris Batras. 2018. Prototyping proactive and adaptive techniques for human-robot collaboration in manufacturing using virtual reality. Robotics and Computer-Integrated Manufacturing 50 (2018), 168–180.Google ScholarDigital Library
- Merriam-Webster. [n. d.]. Proactive. In Merriam-Webster.com dictionary. https://www.merriam-webster.com/dictionary/proactiveGoogle Scholar
- Pierrick Milhorat, Divesh Lala, Koji Inoue, Tianyu Zhao, Masanari Ishida, Katsuya Takanashi, Shizuka Nakamura, and Tatsuya Kawahara. 2019. A conversational dialogue manager for the humanoid robot ERICA. In Advanced Social Interaction with Agents. Springer, 119–131.Google Scholar
- Brian Mok. 2016. Effects of proactivity and expressivity on collaboration with interactive robotic drawers. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 633–634.Google ScholarCross Ref
- Brian Ka-Jun Mok, Stephen Yang, David Sirkin, and Wendy Ju. 2015. A place for every tool and every tool in its place: Performing collaborative tasks with interactive robotic drawers. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 700–706.Google Scholar
- Clément Moulin-Frier, Tobias Fischer, Maxime Petit, Grégoire Pointeau, Jordi-Ysard Puigbo, Ugo Pattacini, Sock Ching Low, Daniel Camilleri, Phuong Nguyen, Matej Hoffmann, et al. 2017. DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self. IEEE Transactions on Cognitive and Developmental Systems 10, 4(2017), 1005–1022.Google ScholarCross Ref
- E Mumolo, M Nolich, and G Vercelli. 2001. Pro-active service robots in a health care framework: vocal interaction using natural language and prosody. In Proceedings 10th IEEE International Workshop on Robot and Human Interactive Communication. ROMAN 2001 (Cat. No. 01TH8591). IEEE, 606–611.Google ScholarCross Ref
- Mihai Nan, Alexandra Stefania Ghiță, Alexandru-Florin Gavril, Mihai Trascau, Alexandru Sorici, Bogdan Cramariuc, and Adina Magda Florea. 2019. Human action recognition for social robots. In 2019 22nd International Conference on Control Systems and Computer Science (CSCS). IEEE, 675–681.Google ScholarCross Ref
- Heramb Nemlekar, Dharini Dutia, and Zhi Li. 2019. Object transfer point estimation for fluent human-robot handovers. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2627–2633.Google ScholarDigital Library
- Davide Nicolis, Andrea Maria Zanchettin, and Paolo Rocco. 2018. Human intention estimation based on neural networks for enhanced collaboration with robots. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 1326–1333.Google Scholar
- Ozgur S Oguz, Omer C Sari, Khoi H Dinh, and Dirk Wollherr. 2017. Progressive stochastic motion planning for human-robot interaction. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 1194–1201.Google ScholarDigital Library
- Amit Kumar Pandey, Muhammad Ali, and Rachid Alami. 2013. Towards a task-aware proactive sociable robot based on multi-state perspective-taking. International Journal of Social Robotics 5, 2 (2013), 215–236.Google ScholarCross Ref
- Zhenhui Peng, Yunhwan Kwon, Jiaan Lu, Ziming Wu, and Xiaojuan Ma. 2019. Design and evaluation of service robot’s proactivity in decision-making support process. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarDigital Library
- Giovanni Pezzulo, Gianluca Baldassarre, Amedeo Cesta, and Stefano Nolfi. 2011. Research on cognitive robotics at the institute of cognitive sciences and technologies, national research council of italy. Cognitive processing 12, 4 (2011), 367–374.Google Scholar
- Manuel Pinheiro and Estela Bicho. 2013. A socially assistive robot for people with motor impairments. In 2013 IEEE 3rd Portuguese Meeting in Bioengineering (ENBENG). IEEE, 1–7.Google ScholarCross Ref
- Md Golam Rashed, Royta Suzuki, Toshiki Kikugawa, Antony Lam, Yoshinori Kobayashi, and Yoshinori Kuno. 2015. Network guide robot system proactively initiating interaction with humans based on their local and global behaviors. In International Conference on Intelligent Computing. Springer, 283–294.Google ScholarCross Ref
- M Golam Rashed, Ryota Suzuki, Antony Lam, Yoshinori Kobayashi, and Yoshinori Kuno. 2015. Toward museum guide robots proactively initiating interaction with humans. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts. 1–2.Google ScholarDigital Library
- M Golam Rashed, R Suzuki, A Lam, Y Kobayashi, and Y Kuno. 2015. A vision based guide robot system: Initiating proactive social human robot interaction in museum scenarios. In 2015 International Conference on Computer and Information Engineering (ICCIE). IEEE, 5–8.Google ScholarCross Ref
- Ben Robins, Kerstin Dautenhahn, Rene Te Boekhorst, and Aude Billard. 2005. Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills?Universal access in the information society 4, 2 (2005), 105–120.Google Scholar
- Stephanie Rosenthal, Manuela Veloso, and Anind K Dey. 2012. Is someone in this office available to help me?Journal of Intelligent & Robotic Systems 66, 1 (2012), 205–221.Google Scholar
- Audun Sanderud, Trygve Thomessen, Hisashi Osumi, and Mihoko Niitsuma. 2015. A proactive strategy for safe human-robot collaboration based on a simplified risk analysis. (2015).Google Scholar
- Audun Rønning Sanderud, Mihoko Niitsuma, and Trygve Thomessen. 2015. A likelihood analysis for a risk analysis for safe human robot collaboration. In 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA). IEEE, 1–6.Google ScholarCross Ref
- Andreas J Schmid, Oliver Weede, and Heinz Worn. 2007. Proactive robot task selection given a human intention estimate. In RO-MAN 2007-The 16th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 726–731.Google ScholarCross Ref
- Andreas J Schmid, Heinz Wörn, Oliver C Schrempf, and Uwe D Hanebeck. 2006. Towards intuitive human-robot cooperation. In Proceedings of the 2nd International Workshop on Human-Centered Robotic Systems (HCRS). 7–12.Google Scholar
- Oliver C Schrempf, Uwe D Hanebeck, Andreas J Schmid, and Heinz Worn. 2005. A novel approach to proactive human-robot cooperation. In ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005. IEEE, 555–560.Google ScholarCross Ref
- Ruth Schulz, Philipp Kratzer, and Marc Toussaint. 2017. Building a bridge with a robot: a system for collaborative on-table task execution. In Proceedings of the 5th International Conference on Human Agent Interaction. 399–403.Google ScholarDigital Library
- Alessandra Sciutti, Ambra Bisio, Francesco Nori, Giorgio Metta, Luciano Fadiga, Thierry Pozzo, and Giulio Sandini. 2012. Measuring human-robot interaction through motor resonance. International Journal of Social Robotics 4, 3 (2012), 223–234.Google ScholarCross Ref
- Alessandra Sciutti, Ambra Bisio, Francesco Nori, Giorgio Metta, Luciano Fadiga, and Giulio Sandini. 2013. Robots can be perceived as goal-oriented agents. Interaction Studies 14, 3 (2013), 329–350.Google ScholarCross Ref
- Weihua Sheng, Anand Thobbi, and Ye Gu. 2014. An integrated framework for human–robot collaborative manipulation. IEEE transactions on cybernetics 45, 10 (2014), 2030–2041.Google Scholar
- Dadhichi Shukla, Özgür Erkent, and Justus Piater. 2018. Learning semantics of gestural instructions for human-robot collaboration. Frontiers in neurorobotics 12 (2018), 7.Google Scholar
- Chapa Sirithunge, AG Buddhika P Jayasekara, and DP Chandima. 2019. Proactive robots with the perception of nonverbal human behavior: A review. IEEE Access 7(2019), 77308–77327.Google ScholarCross Ref
- Lenja Sorokin, Ronee Chadowitz, and Nina Kauffmann. 2019. A change of perspective: Designing the automated vehicle as a new social actor in a public space. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. 1–8.Google ScholarDigital Library
- Aaron Steinfeld, Terrence Fong, David Kaber, Michael Lewis, Jean Scholtz, Alan Schultz, and Michael Goodrich. 2006. Common metrics for human-robot interaction. In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction. 33–40.Google ScholarDigital Library
- Indranil Sur and Heni Ben Amor. 2017. Robots that anticipate pain: Anticipating physical perturbations from visual cues through deep predictive models. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 5541–5548.Google ScholarDigital Library
- Hao Tan, Ying Zhao, Shiyan Li, Wei Wang, Ming Zhu, Jie Hong, and Xiang Yuan. 2020. Relationship between social robot proactive behavior and the human perception of anthropomorphic attributes. Advanced Robotics 34, 20 (2020), 1324–1336.Google ScholarCross Ref
- Xuan-Tung Truong and Trung Dung Ngo. 2017. Toward socially aware robot navigation in dynamic and crowded environments: A proactive social motion model. IEEE Transactions on Automation Science and Engineering 14, 4(2017), 1743–1760.Google ScholarCross Ref
- Xuan-Tung Truong, Voo Nyuk Yoong, and Dung Ngo Trung. 2016. Approaching humans in crowded and dynamic environments. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 476–481.Google ScholarDigital Library
- Panagiota Tsarouchi, Sotiris Makris, and George Chryssolouris. 2016. Human–robot interaction review and challenges on task planning and programming. International Journal of Computer Integrated Manufacturing 29, 8(2016), 916–931.Google ScholarDigital Library
- Raquel Viciana-Abad, Rebeca Marfil, Jose M Perez-Lorenzo, Juan P Bandera, Adrian Romero-Garces, and Pedro Reche-Lopez. 2014. Audio-visual perception system for a humanoid robotic head. Sensors 14, 6 (2014), 9522–9545.Google ScholarCross Ref
- Diane Walker and Florence Myrick. 2006. Grounded theory: An exploration of process and procedure. Qualitative health research 16, 4 (2006), 547–559.Google Scholar
- H WOERN and AJ SCHMID. 2008. INTUITIVE HUMAN-ROBOT COOPERATION. In Advances In Mobile Robotics. World Scientific, 473–480.Google Scholar
- Weronika Wojtak, Flora Ferreira, Paulo Vicente, Luis Louro, Estela Bicho, and Wolfram Erlhagen. 2020. A neural integrator model for planning and value-based decision making of a robotics assistant. Neural Computing and Applications(2020), 1–20.Google Scholar
- Yu Zhang, Vignesh Narayanan, Tathagata Chakraborti, and Subbarao Kambhampati. 2015. A human factors analysis of proactive support in human-robot teaming. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 3586–3593.Google ScholarDigital Library
- Tian Zhou and Juan Pablo Wachs. 2018. Early prediction for physical human robot collaboration in the operating room. Autonomous Robots 42, 5 (2018), 977–995.Google ScholarDigital Library
Index Terms
- What is Proactive Human-Robot Interaction? - A review of a progressive field and its definitions
Recommendations
A Taxonomy of Robot Autonomy for Human-Robot Interaction
HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot InteractionRobot autonomy is an influential and ubiquitous factor in human-robot interaction (HRI), but it is rarely discussed beyond a one-dimensional measure of the degree to which a robot operates without human intervention. As robots become more sophisticated, ...
Initiative in Robot Assistance during Collaborative Task Execution
HRI '16: The Eleventh ACM/IEEE International Conference on Human Robot InteractionCollaborative robots are quickly gaining momentum in real-world settings. This has motivated many new research questions in human-robot collaboration. In this paper, we address the questions of whether and when a robot should take initiative during ...
Comments