Crystal Chao

About

Crystal Chao is a pioneering researcher at the intersection of human-robot interaction, machine learning, and social robotics, whose work has fundamentally advanced how robots learn from and communicate with humans. Her most influential contributions center on two interconnected themes: active learning for robots and turn-taking in human-robot dialogue. Chao's landmark paper "Designing Interactions for Robot Active Learners" (2010, 148 citations) addressed critical challenges in applying active learning to HRI, demonstrating how robots can strategically solicit information from human teachers to accelerate and improve learning outcomes. Her complementary work on transparent active learning showed that making the robot's learning process visible to human instructors leads to more effective teaching partnerships. Equally significant is her extensive body of work on turn-taking, where she developed sophisticated computational frameworks — including Timed Petri Net models — for managing the precise timing of multimodal exchanges between humans and robots. These contributions, spanning multiple papers totaling over 250 additional citations, brought genuine conversational fluency closer to reality in robotic systems. Chao also explored goal inference and learning from demonstration, helping robots better understand human intent. Across her career, her research has collectively shaped the foundations of socially intelligent, collaborative robots capable of natural, reciprocal interaction with people.

Research Focus

Key Achievements

Top Papers

1. 1
   Designing Interactions for Robot Active Learners

   148 citations · 2010
2. 2
   Transparent active learning for robots

   72 citations · 2010
3. 3
   Timing in Multimodal Turn-Taking Interactions: Control and Analysis Using Timed Petri Nets

   71 citations · 2012
4. 4
   Towards grounding concepts for transfer in goal learning from demonstration

   62 citations · 2011
5. 5
   Simon plays Simon says: The timing of turn-taking in an imitation game

   43 citations · 2011
6. 6
   Turn Taking Based on Information Flow for Fluent Human‐Robot Interaction

   42 citations · 2011
7. 7
   Transparent active learning for robots

   39 citations · 2010
8. 8
   Timed Petri nets for fluent turn-taking over multimodal interaction resources in human-robot collaboration

   38 citations · 2016
9. 9
   Turn-Taking for Human-Robot Interaction

   33 citations · 2010
10. 10
    Controlling Social Dynamics with a Parametrized Model of Floor Regulation

    26 citations · 2013

Key Collaborators

Contact & Links