Zhengzhe Zhu
Computer Science · Purdue University West Lafayette
Publications
20
Citations
390
Est. group size
~3
Recurring co-author estimate
Active years
7
Publishing since 2020
Zhengzhe Zhu's research focuses on how people interact with technology in augmented and virtual reality settings, including how humans communicate with multiple robots using natural language and how mixed reality can be combined with connected devices (IoT) for everyday applications. Recent work also explores using augmented reality to support physical skill training, such as table tennis coaching, and design guidance for human-robot collaboration in home environments.
Publication output has grown steadily over the last decade, increasing from no recorded outputs before 2020 to a peak of 5 in 2024, with consistent activity around 3 papers per year since then.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Towards Natural Language Environment: Understanding Seamless Natural-Language-Based Human-Multi-Robot Interactions
arXiv (Cornell University) · 2026
- Towards Design Guidelines for Natural-Language-Based Human-Multi-Robot Collaboration in Domestic Environments
2026
- EXPLORING THE ROLE OF IOT IN HUMAN-CENTRIC MIXED REALITY ENVIRONMENT: APPLICATIONS AND DESIGN CONSIDERATIONS
Purdue · 2025
- avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×3
- Proceedings of the ACM on Human-Computer Interaction×2
- International Journal of Educational Technology in Higher Education×1
- International Journal of Child-Computer Interaction×1
- Purdue×1
- Ana Villanueva
Computer Science · Purdue University West Lafayette
- Rahul Jain
Computer Science · Purdue University West Lafayette
- Xiyun Hu
Computer Science · Purdue University West Lafayette
- Subramanian Chidambaram
Computer Science · Purdue University West Lafayette
- Ananya Ipsita
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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