Papers

8

Total Citations

183

H-Index

6

About

Dr. Maryam Banitalebi Dehkordi is a pioneering researcher at the intersection of artificial intelligence, robotics, and human-computer interaction, best known for founding the emerging field of **Explainable Robotics**. Her seminal 2020 paper, which has garnered 89 citations, introduced novel computational models and algorithms that enable robots to generate transparent, understandable explanations during human-robot interactions—a critical step toward building trust in autonomous systems. Building on this foundation, her work on **Explainability in Human-Robot Teaming** (2021) further explores how robots can coordinate seamlessly with human teammates by making their intentions and actions legible. Dr. Dehkordi’s contributions extend to social perception, where she designed and evaluated a unique social perception system (35 citations) and an RGB-D based social behavior interpretation system for humanoid robots, enabling them to recognize and respond to human social cues. Her most recent cutting-edge research introduces a **Personalised Large Language Model (PLLM)** agent for HRI and HCI, pushing the boundaries of AI-powered adaptive interaction. With a career spanning from mechanical balancing mechanisms to cognitive AI models, Dr. Dehkordi’s work has earned over 180 citations, establishing her as a leading voice in making robots not just intelligent, but truly collaborative and understandable partners.

Research Focus

Key Achievements

6
H-Index
8
Papers
183
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Explainable Robotics in Human-Robot Interactions
89 citations · 2020
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: Cardiff University, University of Pisa, Scuola Superiore Sant'Anna, University of Hertfordshire

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago