About

Siddharth Agrawal is a researcher whose work sits at the intersection of human-robot interaction (HRI), privacy, and robot authority — areas of growing importance as social robots become increasingly embedded in everyday life. His most influential contribution, "Themes and Research Directions in Privacy-Sensitive Robotics" (2018), has garnered 60 citations and helped establish privacy-sensitive robotics as a distinct and necessary field of inquiry, identifying seven core research themes that continue to shape the discipline. Complementing this, his work on robot authority and human obedience — explored across both theoretical and field study contexts — examines the nuanced dynamics of when and why humans comply with robot instructions, including under conditions of aggression, earning a combined 44 citations. Agrawal has also contributed to understanding feedback mechanisms in HRI, particularly how real-time robot confidence information affects human trust and workload. His earlier work on intelligent mobile robotics (2002) demonstrates a long-standing engagement with the field. Taken together, Agrawal's research offers critical insights into how humans and robots negotiate authority, trust, and privacy — questions that will only grow more pressing as robotic systems take on greater societal roles.

Research Focus

Key Achievements

4
H-Index
5
Papers
114
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Themes and Research Directions in Privacy-Sensitive Robotics
60 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Indian Institute of Technology Delhi, University of Technology Sydney, Central Electronics Engineering Research Institute

Top Papers

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    Feedback Methods in HRI
    7 citations · 2018
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago