Dev Ramesh

Brown University

Papers

1

Total Citations

4

H-Index

1

About

Dev Ramesh investigates the intersection of artificial intelligence, robotics, and social philosophy, with a primary focus on how autonomous systems can represent, reason about, and comply with social norms. In his most-cited work, "What Properties of Norms can we Implement in Robots?" (2023, 4 citations), Ramesh systematically analyzes the cognitive and social prerequisites for robots to internalize human-like norms—a foundational step toward seamless human-robot collaboration. His research bridges normative theory and practical AI design, arguing that effective norm adoption requires both sophisticated internal representation and social adaptability. Though early in his career, Ramesh’s work is already shaping conversations in machine ethics and socially aware robotics, offering a rigorous framework for embedding moral and social constraints into autonomous agents. His contributions are particularly relevant for researchers developing robots for caregiving, public spaces, and collaborative manufacturing, where norm compliance is critical. By grounding technical implementation in philosophical analysis, Ramesh is helping to define the next generation of socially intelligent machines.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
What Properties of Norms can we Implement in Robots?*
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Brown University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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