Artificial Intelligence for Human-Robot Interaction

AAAI Fall Symposium Series

Arlington, Virginia USA, November 7-9, 2019


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.



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:

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:

Invited Keynote Speakers


    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)