Scholar
Yan Zhang
Google Scholar ID: CyIEsPgAAAAJ
University of Melbourne
Citations & Impact
Citations
122
H-index
5
i10-index
4
Publications
17
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 2025 CHI paper: 'Can you pass that tool?: Implications of Indirect Speech in Physical Human-Robot Collaboration'
- 2025 HAI paper: 'From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems' (co-first author)
- 2025 HRI paper: 'ROSAnnotator: A Web Application for ROSBag Data Analysis in Human-Robot Interaction'
- 2025 HRI paper: 'Implicit Communication of Contextual Information in Human-Robot Collaboration'
- 2025 HRI paper: 'OfficeMate: Pilot Evaluation of an Office Assistant Robot'
- 2025 AutoUI Adjunct paper: 'Exploring Deictic Interface Referencing Outside-Vehicle Landmarks'
- Published in npj Artificial Intelligence: 'AI system facilitates people with blindness and low vision in interpreting and experiencing unfamiliar environments'
- 2024 CHI Extended Abstract: 'FaceVis: Exploring a Robot’s Face for Affective Visualisation Design'
- 2024 WWW paper: 'More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning'
- Contributed to pedestrian safety evaluation in a high-fidelity simulation framework (2024)
Background
- Second-year Ph.D. candidate at the School of Computing and Information Systems, University of Melbourne
- Affiliated with the Human-Computer Interaction Group and Human-Robot Interaction Lab
- Current research focuses on leveraging implicit communication to enhance grounding between humans and robots during physical collaboration
- Aims to enable collaborative robots to interpret and generate context-enriched, human-like communication using multi-agentic LLMs
- Strives to make actionable information exchange between humans and robots intuitive, natural, effective, and inclusive for daily activities
- Also interested in designing user-centric guiding robots for visually impaired individuals
- Previous research includes autonomous driving
Co-authors