Introduction
The past few years have seen rapid progress in the development of service robots. Universities and companies alike have launched major research efforts toward the deployment of ambitious systems designed to aid human operators performing a variety of tasks. These robots are intended to make those who may otherwise need to live in assisted care facilities more independent, to help workers perform their jobs, or simply to make life more convenient. Service robots provide a powerful platform on which to study Artificial Intelligence (AI) and Human-Robot Interaction (HRI) in the real world. Research sitting at the intersection of AI and HRI is crucial to the success of service robots if they are to fulfill their mission.
This symposium seeks to highlight research enabling robots to effectively interact with people autonomously while modeling, planning, and reasoning about the environment that the robot operates in and the tasks that it must perform. AI-HRI deals with the challenge of interacting with humans in environments that are relatively unstructured or which are structured around people rather than machines, as well as the possibility that the robot may need to interact naturally with people rather than through teach pendants, programming, or similar interfaces.
Topics
- Architectures and systems supporting autonomous HRI
- Interactive learning
- Interactive dialog systems and natural language
- Field studies, experimental, and empirical HRI
- Tools for autonomous HRI
- Design ethnography for service robots
- Development, fielding, and experimentation for service robots
- Physical human-robot interaction
- Knowledge representation and reasoning to support human-robot interaction and robot tasking
- Applications of autonomous service robots
Format
In addition to oral and poster presentations of accepted papers, the symposium will include panel discussions, position talks, keynote presentations, and a hack session with ample time for networking.
SPEAKERS: Keynote talks will give different perspectives on AI-HRI and showcase recent advances towards humans interacting with robots on everyday tasks. Moderated discussions and debates will allow participants to engage in collaborative public discussion on controversial topics and issues of interest to the AI-HRI community.
NETWORKING: A large part of this effort is to bring together a community of researchers, strengthen old connections, and build new ones. Ample time will be provided for networking and informal discussions.
Presentation and publication
All accepted full and short papers will be presented orally and published in the proceedings through Arxiv. Authors will be notified as to whether they have been assigned a “full-length” or “lightning” presentation slot. Authors assigned to full-length talks will be invited to participate in a panel discussion. Authors assigned to lightning talks will be invited to participate in a poster session.
Important dates
The symposium will be held on November 7-9, 2019 at the Westin Arlington Gateway in Arlington, Virginia, USA.
Submission Instructions
Authors may submit under one of these paper categories:
- Full papers (6-8 pages) highlighting state-of-the-art HRI-oriented interacting learning research, HRI research focusing on the use of autonomous AI systems, or the implementation of AI systems in commercial HRI products.
- Short position papers (2-4 pages) outlining new or controversial views on AI-HRI research or describing ongoing AI-oriented HRI research.
In addition, philosophy and social science researchers are encouraged to submit short papers suggesting AI advances that would facilitate the design, implementation, or analysis of HRI studies.
Industry professionals are encouraged to submit short papers suggesting AI advances that would facilitate the development, enhancement, or deployment of HRI technologies in the real world.
Please see the AAAI Author Kit for paper templates to ensure that your submission has proper formatting.
Contributions may be submitted here:
https://easychair.org/conferences/?conf=aihri2019
Invited Keynote Speakers
- Michael Gleicher
- Manuela Veloso
- Laura Hiatt
- Matthew Marge
Program
Detailed PDF version
Day 1: Thursday, November 7, 2019
| 09:00 – 09:15 | Introduction and Announcements |
| 09:15 – 10:15 | Invited Speaker: Michael Gleicher |
| 10:15 – 10:30 | Breakout Session: Topics and Team-ups |
| 10:30 – 11:00 | Coffee Break |
| 11:00 – 12:30 | Long Paper Presentations
Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface Zhao Han, Jordan Allspaw, Adam Norton, and Holly Yanco Petri Net Machines for Human-Agent Interaction Christian Dondrup, Ioannis Papaioannou, and Oliver Lemon Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators Ethan Fahnestock, Siddharth Patki, and Thomas Howard Four-Arm Manipulation via Feet Interfaces Jacob Hernandez, Walid Amanhoud, Anaïs Haget, Hannes Bleuler, Aude Billard, and Mohamed Bouri Unclogging Our Arteries: Using Human-Inspired Signals to Disambiguate Navigational Intentions Justin Hart, Reuth Mirsky, Stone Tejeda, Bonny Mahajan, Jamin Goo, Kathryn Baldauf, Sydney Owen and Peter Stone Automated Production of Stylized Animations for Social Robots Adrian Ball and Ross Mead |
| 12:30 – 14:00 | Lunch |
| 14:00 – 15:00 | Breakout session |
| 15:00 – 15:30 | Lightning Talks
A Research Platform for Multi-Robot Dialogue with Humans Matthew Marge, Stephen Nogar, Cory Hayes, Stephanie Lukin, Jesse Bloecker, Eric Holder, and Clare Voss Fuzzy Knowledge-Based Architecture for Learning and Interaction in Social Robots Mehdi Ghayoumi and Maryam Pourebadi Multimodal Dataset of Human-Robot Hugging Interaction Kunal Bagewadi, Joseph Campbell, and Heni Ben Amor Towards Development of Datasets for Human Action Understanding in Human-Robot Interaction Megan Zimmerman and Shelly Bagchi Responsive Planning and Recognition for Closed-Loop Interaction Richard Freedman, Yi Ren Fung, Roman Ganchin and Shlomo Zilberstein Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration Abulikemu Abuduweili, Siyan Li, and Changliu Liu |
| 15:30 – 16:00 | Coffee Break + Poster Session |
| 16:00 – 17:00 | Invited Speaker: Manuela Veloso |
| 17:00 – 17:30 | Poster Session |
| 18:00 – 19:00 | Reception |
Day 2: Friday, November 8, 2019
| 09:00 – 09:15 | Announcements |
| 09:15 – 10:15 | Invited Speaker: Laura Hiatt |
| 10:15 – 10:30 | Breakout Session: Topics and Team-ups |
| 10:30 – 11:00 | Coffee Break |
| 11:00 – 12:30 | Long Paper Presentations
Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control Jason Gregory, Christopher Reardon, Kevin Lee, Geoffrey White, Ki Ng, and Caitlyn Sims Negotiation-based Human-Robot Collaboration via Augmented Reality Kishan Chandan, Xiang Li, and Shiqi Zhang An Alert-Generation Framework for Improving Resiliency in Human-Supervised, Multi-Agent Teams Sarah Al-Hussaini, Jason M. Gregory, Shaurya Shriyam, and Satyandra K. Gupta Trust and Cognitive Load During Human-Robot Interaction Muneeb Ahmad, Jasmin Bernotat, Katrin Lohan, and Friederike Eyssel Towards an Adaptive Robot for Sports and Rehabilitation Coaching Martin Ross, Frank Broz, and Lynne Baillie Selfie Drone Stick: A Natural Interface for Quadcopter Photography Saif Alabachi, Gita Sukthankar, and Rahul Sukthankar |
| 12:30 – 14:00 | Lunch |
| 14:00 – 15:00 | Invited Speaker: Matthew Marge |
| 15:00 – 15:30 | Lightning Talks
MAD-TN: A Tool for Measuring Fluency in Human-Robot Collaboration Seth Issacson, Gretchen Rice, and James Boerkoel Building Second-Order Mental Models for Human-Robot Interaction Connor Brooks and Daniel Szafir Commitments in Human-Robot Interaction Victor Fernandez Castro, Aurelie Clodic, Rachid Alami, and Elisabeth Pacherie Developing Computational Models of Social Assistance to Guide Socially Assistive Robots Jason Wilson, Seongsik Kim, Ulyana Kurylo, Joseph Cummings and Eshan Tarneja Towards Effective Human-AI Teams: The Case of Collaborative Packing Gilwoo Lee, Christoforos Mavrogiannis and Siddhartha Srinivasa An Automated Vehicle like Me? The Impact of Personality Similarities and Differences between Humans and AVs Qiaoning Zhang, Connor Esterwood, Xi Jessie Yang and Lionel Robert |
| 15:30 – 16:00 | Coffee Break + Poster Session |
| 16:00 – 16:30 | Poster Session |
| 16:30 – 17:30 | Breakout Session |
| 18:00 – 19:30 | Plenary Session |
Saturday, November 9, 2019
| 09:00 – 09:15 | Announcements |
| 09:15–10:00 | Tech Talks
Where is My Stuff? An Interactive System for Spatial Relations Emrah Sisbot and Jonathan Connell Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin Hart, Luis Sentis, and Peter Stone MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces Mary Ellen Foster and Olivier Canévet |
| 10:00–10:30 | Tech Discussion: Haves, Needs, and Wants |
| 10:30–11:00 | Coffee Break |
| 11:00–12:00 | Future Directions and Discussion |
| 12:00–12:30 | Wrap-Up/Closing Remarks |
Organizing Committee
Justin W. Hart (UT Austin)
Nick DePalma (Facebook AI Research)
Richard G. Freedman (Smart Information Flow Technologies and UMass Amhers)
Luca Iocchi (Sapienza University of Rome)
Matteo Leonetti (University of Leeds)
Katrin Lohan (Heriot-Watt University)
Ross Mead (Semio)
Emmanuel Senft (Plymouth University)
Jivko Sinapov (Tufts University)
Elin A. Topp (Lund University)
Tom Williams (Colorado School of Mines)