2017
  • Bradley Hayes and Julie Shah. (2017). Interpretable Models for Fast Activity Recognition and Anomaly Explanation During Collaborative Robotics Tasks. In Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA 2017). Marina Bay Sands, Singapore, May 29 – June 3.
  • Bradley Hayes and Julie Shah. (2017). Improving Robot Controller Transparency Through Autonomous Policy Explanation. In Proceedings of the 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2017). Vienna, Austria, March 6-9.
2016
  • Matthew Gombolay, Jessie Yang, Bradley Hayes, Nicole Seo, Samir Wadhwania, Zixi Liu, Tania Yu, Neel Shah, Toni Golen, and Julie Shah. (2016). Robotic Assistance in Coordination of Patient Care. Proceedings of Robotics: Science and Systems (RSS 2016), Michigan, USA, June 18-22.
  • Bradley Hayes and Brian Scassellati. (2016). Autonomously Constructing Hierarchical Task Networks for Planning and Human-Robot Collaboration. In Proceedings of 2016 IEEE International Conference on Robotics and Automation (ICRA 2016), Stockholm, Sweden, May 16 – 21.
  • Henny Admoni, Thomas Weng, Bradley Hayes, and Brian Scassellati. (2016). Robot Nonverbal Behavior Improves Task Performance In Difficult Collaborations. In Proceedings of the 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2016). Christchurch, New Zealand, March 7-10.
2015
  • Bradley Hayes and Brian Scassellati. (2015). Effective Robot Teammate Behaviors for Supporting Sequential Manipulation Tasks. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). Hamburg, Germany, September 27 – October 3.
  • Benjamin Rosman, Bradley Hayes, and Brian Scassellati. (2015). Enhancing Agent Safety through Autonomous Environment Adaptation. In Proceedings of the 5th joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL 2015). Providence, Rhode Island, USA, August 13-16.
2014
  • Bradley Hayes, Elena Corina Grigore, Alexandru Litoiu, Aditi Ramachandran, Brian Scassellati. (2014). A Developmentally Inspired Transfer Learning Approach for Predicting Skill Durations. In Proceedings of the 4th joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL 2014). Genoa, Italy, October 13-16.
  • Bradley Hayes and Brian Scassellati. (2014). Discovering Task Constraints Through Observation and Active Learning. In Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). Chicago, USA, September 14-18.
  • Bradley Hayes, Daniel Ullman, Emma Alexander, Caroline Bank, and Brian Scassellati. (2014). People Help Robots Who Help Others, Not Robots Who Help Themselves. In Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2014). Edinburgh, Scotland, August 25-29. (Finalist, RSJ/KROS Distinguished Interdisciplinary Research Award)
  • Emma Alexander, Caroline Bank, Jie Jessica Yang, Bradley Hayes, and Brian Scassellati. (2014). Asking for Help from a Gendered Robot. In Proceedings of the 36th Annual Conference of the Cognitive Science Society (CogSci 2014). Quebec City, Canada, July 23-26.
2013
  • Bradley Hayes and Brian Scassellati. (2013). Improving Implicit Communication In Mixed Human-Robot Teams With Social Force Detection. In Proceedings of the 3rd joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL 2013). Osaka, Japan, August 18-22.
  • Henny Admoni, Bradley Hayes, David Feil-Seifer, Daniel Ullman, and Brian Scassellati. (2013). Dancing With Myself: The effect of majority group size on perceptions of majority and minority robot group members. In: Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society (CogSci 2013). Berlin, Germany, July 31-August 3.
  • Henny Admoni, Bradley Hayes, David Feil-Seifer, Daniel Ullman, and Brian Scassellati. (2013). Are You Looking At Me? Perception of Robot Attention is Mediated by Gaze Type and Group Size. In Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2013). Tokyo, Japan, March 3-6.