Ruiqi Wang (R7)
Hello!
I’m a Ph.D. candidate in the Smart Machine and Assistive Robotics Technology (SMART) Lab at Purdue University, advised by Professor Byung-Cheol Min.
My primary research interest is adaptations in human-robot interaction and teaming.
Specifically, I focus on developing adaptive human-robot systems capable of adapting to:
- Inherent heterogeneity of humans in terms of their abilities and backgrounds.
- Ever-changing human states, such as cognitive load and fatigue.
- Individual human preferences for personalized robot interactive behaviors.
My broad areas of research include:
- Human-Robot Interaction
- Multi-Human Multi-Robot Teaming
- Human-in-the-Loop Robot Learning
- Multimodal Perception and Reasoning
News
- 07/10/2024: Our paper “MOCAS: A Multimodal Dataset for Objective Cognitive Workload Assessment on Simultaneous Tasks” has been accepted for publication in IEEE Transactions on Affective Computing!
- 05/02/2024: I passed my Ph.D. preliminary exam! Special thanks to my advisor, my committee members, and my peers in the SMART lab!
- 02/05/2024: Our paper “Initial Task Assignment in Multi-Human Multi-Robot Teams: An Attention-enhanced Hierarchical Reinforcement Learning Approach” has been accepted for publication in IEEE Robotics and Automation Letters (RA-L)!
- 01/28/2024: Our paper “SAMARL: Multi Robot Socially-aware Navigation with Multi-agent Reinforcement Learning” has been accepted in ICRA 2024!
- 01/17/2024: Our paper “Husformer: A Multi-Modal Transformer for Multi-Modal Human State Recognition” has been accepted for publication in IEEE Transactions on Cognitive and Developmental Systems! Check out our source code as well!
- 12/28/2023: Conducted a one-day robotics seminar at West Lafayette Jr./Sr. High School to introduce and explore the realms of cutting-edge research in human-robot interaction, multi-robot systems, and robot design.
- 06/21/2023: Two papers “Initial Task Allocation for Multi-Human Multi-Robot Teams with Attention-based Deep Reinforcement Learning” and “NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning” are accepted in IROS 2023!
- 05/27/2023: Conducted an exceptional five-day robotics outreach program at West Lafayette Jr./Sr. High School to captivate K-12 students with the intriguing world of robotics, providing them with invaluable hands-on experiences and insights into practical applications!
- 12/18/2022: Held a one-day outreach event at Macau Anglican College to provide K-12 students and their teachers with cutting-edge robotic research on Human-in-the-loop Reinforcement Learning and Affective Robotics!
- 06/30/2022: Our paper “Feedback-efficient Active Preference Learning for Socially Aware Robot Navigation” is accepted in IROS 2022! Check the Project Website for details.