Sadanand Modak

The University of Texas at Austin

Papers

3

Total Citations

39

H-Index

2

About

Sadanand Modak is a researcher at the intersection of robotics and artificial intelligence, with a primary focus on human-robot interaction (HRI) and the application of large language models (LLMs) to service robotics. His most impactful work, "Deploying and Evaluating LLMs to Program Service Mobile Robots" (2024), has garnered 31 citations, demonstrating the field's keen interest in his pioneering approach to using LLMs for generating robot programs from natural language. This research leverages mobility, perception, and human interaction to make service robots more accessible and intuitive to program. Modak also introduced the "Vid2Real HRI" framework, a significant methodological contribution that aligns video-based HRI study designs with real-world settings to maximize ecological validity. This work addresses a critical gap in robotics research, where lab studies often fail to capture the complexities of authentic environments. By bridging the gap between natural language programming and practical robot deployment, Modak is shaping the future of accessible, user-friendly service robots. His work is particularly notable for its practical orientation, aiming to reduce the barriers to programming autonomous systems and enhance their real-world utility.

Research Focus

Key Achievements

2
H-Index
3
Papers
39
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Deploying and Evaluating LLMs to Program Service Mobile Robots
31 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago