{"type":"ScholarlyArticle","title":"Teaching Robots to Interact with Humans in a Smart Environment","authors":[{"name":"Shivam Goel","slug":"shivam-goel","given":"Shivam","family":"Goel","affiliation":"School of EECS , Washington State University"}],"abstract":"Robotics in healthcare has recently emerged, backed by the recent advances in the field of machine learning and robotics. Researchers are focusing on training robots for interacting with elderly adults. This research primarily focuses on engineering more efficient robots that can learn from their mistakes, thereby aiding in better human-robot interaction. In this work, we propose a method in which a robot learns to navigate itself to the individual in need. The robotic agents' learning algorithm will be capable of navigating in an unknown environment. The robot's primary objective is to locate human in a house, and upon finding the human, the goal is to interact with them while complementing their pose and gaze. We propose an end to end learning strategy, which uses a recurrent neural network architecture in combination with Q-learning to train an optimal policy. The idea can be a contribution to better human-robot interaction.","doi":"10.24963/ijcai.2019/906","url":"https://ijcai.org/proceedings/2019/906","pdf":"https://ijcai.org/proceedings/2019/0906.pdf","markdown":"https://ijcai.org/proceedings/2019/906.md","bibtex":"https://ijcai.org/proceedings/2019/bibtex/906","volume":{"slug":"2019","title":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2019","url":"https://ijcai.org/proceedings/2019/","year":2019,"location":"Macao","dates":"10-16 August 2019","editors":"Sarit Kraus","isbn":"978-0-9992411-4-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2019"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":906,"pages":{"first":6434,"last":6435},"keywords":["Robotics: Learning in Robotics","Machine Learning: Deep Learning","Machine Learning: Reinforcement Learning","Robotics: Vision and Perception"],"videos":[],"references":[{"position":1,"raw":"[Cao et al., 2017] Z. 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