Program

Lightning Talks - Session I (9:10-9:25)

• Teaching Robots Expressive Movements through Puppeteering / Hongyu Wang and Nikolas Martelaro

• Improving Inference of Human Intent by Modelling Language Feedback / Ifrah Idrees, Tian Yun, Yunxin Deng, George Konidaris and Stefanie Tellex

• A Natural and Efficient Interactive Learning Framework for Human-Robot Social Greeting / Muhan Hou, Kim Baraka, Koen Hindriks and Guszti Eiben

• Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner Interactions / Hugo Caselles-Dupré, Olivier Sigaud and Mohamed Chetouani

Highlight on accepted HRI papers:

• MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning / Maria Schrum et al.

• Conditional Imitation Learning for Multi-Agent Games / Andy Shih et al.

• APReL: A Library for Active Preference-based Reward Learning Algorithms / Erdem Biyik et al.

Lightning Talks - Session II (13:30-13:45)

• More Than You Give: Crossing Over and Keyframe Learning / Hang Yu and Elaine Short

• Learning Goal Recognition Models using Human Examples / Leonardo Rosa Amado, Reuth Mirsky and Felipe Meneguzzi

• Interactive Robot Task Learning: Human Teaching Proficiency with Different Feedback Approaches / Lukas Hindemith, Oleksandra Bruns, Arthur Noller, Nikolas Hemion, Sebastian Schneider and Anna-Lisa Vollmer

• Human Ocular Data for Robot Learning Feedback / Christina Petlowany and Mitch Pryor

Highlight on accepted HRI papers:

• Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning Theory / Serena Booth et al. 

• Correct Me If I’m Wrong: Using Non-Experts to Repair Reinforcement Learning Policies / Sanne van Waveren et al.

• CoFrame: A System for Training Novice Cobot Programmers / Andrew Schoen et al.

• Learning Socially Appropriate Robo-waiter Behaviours through Real-time User Feedback / Emily McQuillin et al.