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Companion: a constraint-optimizing method for person-acceptable navigation. In: RO-MAN, pp. 607–612. IEEE (2009) 9. : Learning to predict trajectories of cooperatively navigating agents. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 4015–4020. IEEE (2014) 10. : Human-aware robot navigation: a survey. Robot. Auton. Syst. 61(12), 1726–1743 (2013). doi. 007 11. : Learning driving styles for autonomous vehicles from demonstration. In: Proceedings of the IEEE International Conference on Robotics & Automation (ICRA), Seattle, USA.

In: Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication, pp. 19–28. ACM (2013) 10. : Progressive co-adaptation in human-machine interaction. In: Informatics in Control, Automation and Robotics. IEEE (2015) 11. : Detailed requirements for robots in autism therapy. In: Proceedings of SMC 2010, pp. 2595–2602. IEEE (2010) 12. : Incorporating a robot into an autism therapy team. IEEE Life Sciences (2012) 13. : Assessment of task engagement using brain computer interface technology.

Machine learning for interactive systems: challenges and future trends. In: WACAI (2014) 18. : Assistive robots for physical and cognitive rehabilitation in cerebral palsy. , Amirat, Y. ) Intelligent Assistive Robots: Recent Advances in Assistive Robotics for Everyday Activities. Springer Tracts in Advanced Robotics, vol. 106, pp. 133–156. Springer, Heidelberg (2015) 19. : Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation.

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