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This article is an introduction to a special issue of the ACM Transactions on Human-Robot Interaction (ACM THRI) that focuses on the interface between artificial intelligence (AI) and human-robot interaction (HRI). The issue includes 11 articles that cover a wide range of topics, including teleoperation, shared control, teaching robots, monitoring autonomous robots, augmented reality interfaces, predicting team motions, planning for adaptation in collaborative tasks, automating gesture generation, and the impact of vulnerability on trust in HRI. The articles present innovative computational techniques and systems that demonstrate the state-of-the-art in AI-HRI research. [Extracted from the article]

On March 27–29, 2023, the AAAI symposium on "HRI in Academia and Industry: Bridging the Gap" was held in a hybrid format, with both in‐person and remote participants, gathering Human‐Robot Interaction (HRI) researchers and practitioners from academia, industry, and national research laboratories to find common ground, understand the different constraints at play, and determine how to work together. The use of robots that operate in spaces in which humans are physically co‐present is growing at a dramatic rate. We are seeing more and more robots in our warehouses, on our streets, and even in our homes. All of these robots will interact with humans in some way, whether intentionally or unintentionally. To be successful, their interactions with humans will have to be carefully designed. For more than a decade, the field of HRI has been growing at the intersection of robotics, Artificial Intelligence (AI) , human‐computer interaction (HCI), psychology, and other fields; however, until quite recently, it has been a largely academic area, with university researchers proposing, implementing, and reporting on experiments at a limited scale. With the current increase of commercially‐available robots, HRI is starting to make its way into the robotics industry in a meaningful way. This symposium brought together HRI researchers and practitioners from academia, industry, and national research laboratories to find common ground, understand the different constraints at play, and determine how to effectively work together. [ABSTRACT FROM AUTHOR]

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016, at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics, and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in So - cially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Nonhuman Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through So - cial Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science. [ABSTRACT FROM AUTHOR]